[{"OA_place":"repository","fulldoi":"https://doi.org/10.1016/j.neuron.2026.08.015","type":"journal_article","article_type":"original","title":"Brainstem sensing of multiple body signals during food consumption","abstract":[{"text":"The peripheral neural pathways that relay oral and post-ingestive chemo- and mechanosensory signals to the brain during food consumption are increasingly well understood. Far less is known about how these and other body signals are integrated and organized in the brainstem lateral parabrachial nucleus (LPBN), a key interoceptive sensory hub. We established methods for dense calcium imaging of 100s of neurons from mouse LPBN. Food consumption drove a seconds-long wave of activity across LPBN, with dynamics mirroring the movement of food through the upper gastrointestinal tract as observed using X-ray videofluoroscopy. By imaging the same neurons across days, we found that spatially clustered subsets of neurons encoded oral signals, stomach filling, visceral malaise, arousal, and/or body movement. Moreover, only certain subsets were modulated by cortical input. Together, these experiments establish a platform for understanding how peripheral and central interoceptive signals are integrated in the brainstem to guide behavior.","lang":"eng"}],"publisher":"Cell Press","article_processing_charge":"No","publication_status":"epub_ahead","author":[{"last_name":"Essner","first_name":"Rachel A.","full_name":"Essner, Rachel A."},{"full_name":"Ruda, Kiersten","first_name":"Kiersten","last_name":"Ruda"},{"last_name":"Choh","first_name":"Hannah J.","full_name":"Choh, Hannah J."},{"full_name":"Kücükdereli, Hakan","id":"5d5f6ea4-ef9e-11f0-a10a-85e12a3552af","last_name":"Kücükdereli","first_name":"Hakan"},{"last_name":"Amsalem","first_name":"Oren","full_name":"Amsalem, Oren"},{"last_name":"Edelhaus","first_name":"Julia","full_name":"Edelhaus, Julia"},{"last_name":"Chahyadinata","first_name":"Gracesenia","full_name":"Chahyadinata, Gracesenia"},{"first_name":"Sverre","last_name":"Grødem","full_name":"Grødem, Sverre"},{"full_name":"Lensjø, Kristian K.","last_name":"Lensjø","first_name":"Kristian K."},{"full_name":"Lever, Teresa E.","last_name":"Lever","first_name":"Teresa E."},{"first_name":"Mark L.","last_name":"Andermann","full_name":"Andermann, Mark L."}],"scopus_import":"1","_id":"23003","acknowledgement":"We thank S. Zhang, K. Evans, C. Massengill, J.S. Alvarado, and members of the Andermann lab for helpful discussion and feedback. We thank J. Mathai for the use of the LabScope for fluoroscopy experiments. We thank J. Fernando, P. Prasad, D. Guarino, J. DeBolt, Z. Stolberg, and A. Pinilla for animal husbandry and other technical assistance. Authors were supported by NSF GRFP DGE1745303, NIH F31DC020631, and NIH T32DK007516 (R.A.E.); NIH F32DK135247 and NIH T32DK007516 (K.R.); the BBRF Young Investigator Grant (H.K.); the Research Council of Norway Grant 250259 (S.G. and K.K.L.); and the Pew Innovation Fund, the McKnight Foundation, the Klarman Family Foundation, the Harvard Brain Science Initiative Bipolar Disorder Seed Grant supported by Kent and Liz Dauten, the NIH (DP1AT010971, DP1DK139958, and P01HL149630), a gift from Paul Weisman, and the K. Lisa Yang Brain-Body Center (M.L.A.).","publication":"Neuron","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","supplementarymaterial":"yes","pmid":1,"external_id":{"biorxivid":["10.1101/2025.04.28.651046"],"pmid":["42753729"]},"year":"2026","dataavailabilitystatement":"This study did not generate any new, unique reagents.Single-neuron calcium imaging traces from all experiments have been deposited at Mendeley Data at 10.17632/wh6f8xt64y.1 and are publicly available as of the date of publication. Raw two-photon calcium imaging and fiber photometry datasets are available from the lead contact upon request.\r\nAll original code is deposited on GitHub (https://github.com/kmruda/PBN_sensing_body_signals) as well as Zenodo at 10.5281/zenodo.21926666 and is publicly available as of the date of publication.\r\nAny additional information required to reanalyze the data is available upon request from the lead contact, Mark L. Andermann (manderma@bidmc.harvard.edu).","biorxivid":1,"language":[{"iso":"eng"}],"publication_identifier":{"eissn":["1097-4199"],"issn":["0896-6273"]},"status":"public","quality_controlled":"1","date_updated":"2026-10-07T08:40:54Z","oa":1,"date_published":"2026-09-17T00:00:00Z","month":"09","doi":"10.1016/j.neuron.2026.08.015","day":"17","researchdata_availability":"yes","oa_version":"Preprint","OA_type":"green","citation":{"apa":"Essner, R. A., Ruda, K., Choh, H. J., Kücükdereli, H., Amsalem, O., Edelhaus, J., … Andermann, M. L. (2026). Brainstem sensing of multiple body signals during food consumption. <i>Neuron</i>. Cell Press. <a href=\"https://doi.org/10.1016/j.neuron.2026.08.015\">https://doi.org/10.1016/j.neuron.2026.08.015</a>","mla":"Essner, Rachel A., et al. “Brainstem Sensing of Multiple Body Signals during Food Consumption.” <i>Neuron</i>, Cell Press, 2026, doi:<a href=\"https://doi.org/10.1016/j.neuron.2026.08.015\">10.1016/j.neuron.2026.08.015</a>.","chicago":"Essner, Rachel A., Kiersten Ruda, Hannah J. Choh, Hakan Kücükdereli, Oren Amsalem, Julia Edelhaus, Gracesenia Chahyadinata, et al. “Brainstem Sensing of Multiple Body Signals during Food Consumption.” <i>Neuron</i>. Cell Press, 2026. <a href=\"https://doi.org/10.1016/j.neuron.2026.08.015\">https://doi.org/10.1016/j.neuron.2026.08.015</a>.","ama":"Essner RA, Ruda K, Choh HJ, et al. Brainstem sensing of multiple body signals during food consumption. <i>Neuron</i>. 2026. doi:<a href=\"https://doi.org/10.1016/j.neuron.2026.08.015\">10.1016/j.neuron.2026.08.015</a>","ieee":"R. A. Essner <i>et al.</i>, “Brainstem sensing of multiple body signals during food consumption,” <i>Neuron</i>. Cell Press, 2026.","short":"R.A. Essner, K. Ruda, H.J. Choh, H. Kücükdereli, O. Amsalem, J. Edelhaus, G. Chahyadinata, S. Grødem, K.K. Lensjø, T.E. Lever, M.L. Andermann, Neuron (2026).","ista":"Essner RA, Ruda K, Choh HJ, Kücükdereli H, Amsalem O, Edelhaus J, Chahyadinata G, Grødem S, Lensjø KK, Lever TE, Andermann ML. 2026. Brainstem sensing of multiple body signals during food consumption. Neuron."},"das_tickbox":"1","department":[{"_id":"MaJö"}],"main_file_link":[{"url":"https://doi.org/10.1101/2025.04.28.651046","open_access":"1"}],"date_created":"2026-09-27T22:01:53Z"},{"abstract":[{"lang":"eng","text":"Hippocampal reactivation of waking neuronal assemblies in sleep is a key initial step of systems consolidation. Nevertheless, it is unclear whether reactivated assemblies are static or whether they reorganize gradually over prolonged sleep. We tracked reactivated CA1 assembly patterns over ∼20 h of sleep/rest periods and related them to assemblies seen before or after in a spatial learning paradigm using rats. We found that reactivated assembly patterns were gradually transformed and started to resemble those seen in the subsequent recall session. Periods of rapid eye movement (REM) sleep and non-REM (NREM) had antagonistic roles: whereas NREM accelerated the assembly drift, REM countered it. Moreover, only a subset of rate-changing pyramidal cells contributed to the drift, whereas stable-firing-rate cells maintained unaltered reactivation patterns. Our data suggest that prolonged sleep promotes the spontaneous reorganization of spatial assemblies, which can contribute to daily cognitive map changes or encoding new learning situations."}],"publisher":"Cell Press","title":"Sleep stages antagonistically modulate reactivation drift","has_accepted_license":"1","article_type":"original","fulldoi":"https://doi.org/10.1016/j.neuron.2025.02.025","OA_place":"publisher","type":"journal_article","ddc":["570"],"article_processing_charge":"Yes (via OA deal)","isi":1,"ec_funded":1,"page":"1446-1459.e6","publication_status":"published","scopus_import":"1","_id":"19506","acknowledgement":"We thank Andrea Cumpelik, Lisa Genzel, and Freya Ólafsdóttir for comments on an earlier version of the manuscript. This work was supported by the European Research Council (281511) and Austrian Science Fund (FWF I3713).","author":[{"id":"47AD3038-F248-11E8-B48F-1D18A9856A87","full_name":"Bollmann, Lars","first_name":"Lars","last_name":"Bollmann"},{"first_name":"Peter","last_name":"Baracskay","full_name":"Baracskay, Peter","id":"361CC00E-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0001-9439-3148","first_name":"Federico","last_name":"Stella","id":"39AF1E74-F248-11E8-B48F-1D18A9856A87","full_name":"Stella, Federico"},{"orcid":"0000-0002-5193-4036","first_name":"Jozsef L","last_name":"Csicsvari","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","full_name":"Csicsvari, Jozsef L"}],"related_material":{"link":[{"url":"https://ista.ac.at/en/news/how-sleep-keeps-our-memories-fresh/","description":"News on ISTA website","relation":"press_release"}]},"year":"2025","pmid":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication":"Neuron","external_id":{"isi":["001510440400001"],"pmid":["40132588"]},"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"intvolume":"       113","corr_author":"1","language":[{"iso":"eng"}],"PlanS_conform":"1","file":[{"success":1,"file_name":"2025_Neuron_Bollmann.pdf","content_type":"application/pdf","date_created":"2025-08-05T12:43:44Z","access_level":"open_access","checksum":"5e57852a45a78a751dd3a5e807bf015f","file_size":27047730,"date_updated":"2025-08-05T12:43:44Z","creator":"dernst","file_id":"20133","relation":"main_file"}],"file_date_updated":"2025-08-05T12:43:44Z","status":"public","publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"doi":"10.1016/j.neuron.2025.02.025","day":"07","project":[{"_id":"257A4776-B435-11E9-9278-68D0E5697425","name":"Memory-related information processing in neuronal circuits of the hippocampus and entorhinal cortex","grant_number":"281511","call_identifier":"FP7"},{"name":"Interneuro plasticity during spatial learning","_id":"2654F984-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"I 3713-B27"}],"date_updated":"2026-10-20T08:54:27Z","oa":1,"quality_controlled":"1","month":"05","date_published":"2025-05-07T00:00:00Z","citation":{"ama":"Bollmann L, Baracskay P, Stella F, Csicsvari JL. Sleep stages antagonistically modulate reactivation drift. <i>Neuron</i>. 2025;113(9):1446-1459.e6. doi:<a href=\"https://doi.org/10.1016/j.neuron.2025.02.025\">10.1016/j.neuron.2025.02.025</a>","mla":"Bollmann, Lars, et al. “Sleep Stages Antagonistically Modulate Reactivation Drift.” <i>Neuron</i>, vol. 113, no. 9, Cell Press, 2025, p. 1446–1459.e6, doi:<a href=\"https://doi.org/10.1016/j.neuron.2025.02.025\">10.1016/j.neuron.2025.02.025</a>.","apa":"Bollmann, L., Baracskay, P., Stella, F., &#38; Csicsvari, J. L. (2025). Sleep stages antagonistically modulate reactivation drift. <i>Neuron</i>. Cell Press. <a href=\"https://doi.org/10.1016/j.neuron.2025.02.025\">https://doi.org/10.1016/j.neuron.2025.02.025</a>","chicago":"Bollmann, Lars, Peter Baracskay, Federico Stella, and Jozsef L Csicsvari. “Sleep Stages Antagonistically Modulate Reactivation Drift.” <i>Neuron</i>. Cell Press, 2025. <a href=\"https://doi.org/10.1016/j.neuron.2025.02.025\">https://doi.org/10.1016/j.neuron.2025.02.025</a>.","ista":"Bollmann L, Baracskay P, Stella F, Csicsvari JL. 2025. Sleep stages antagonistically modulate reactivation drift. Neuron. 113(9), 1446–1459.e6.","ieee":"L. Bollmann, P. Baracskay, F. Stella, and J. L. Csicsvari, “Sleep stages antagonistically modulate reactivation drift,” <i>Neuron</i>, vol. 113, no. 9. Cell Press, p. 1446–1459.e6, 2025.","short":"L. Bollmann, P. Baracskay, F. Stella, J.L. Csicsvari, Neuron 113 (2025) 1446–1459.e6."},"date_created":"2025-04-06T22:01:32Z","department":[{"_id":"JoCs"}],"OA_type":"hybrid","volume":113,"issue":"9","oa_version":"Published Version"},{"researchdata_availability":"upon request","oa_version":"Published Version","volume":112,"issue":"12","OA_type":"hybrid","citation":{"ieee":"D. K. Rangel Guerrero <i>et al.</i>, “Hippocampal cholecystokinin-expressing interneurons regulate temporal coding and contextual learning,” <i>Neuron</i>, vol. 112, no. 12. Cell Press, p. 2045–2061.e10, 2024.","short":"D.K. Rangel Guerrero, K. Balueva, U. Barayeu, P. Baracskay, I. Gridchyn, M. Nardin, C.N. Roth, P. Wulff, J.L. Csicsvari, Neuron 112 (2024) 2045–2061.e10.","ista":"Rangel Guerrero DK, Balueva K, Barayeu U, Baracskay P, Gridchyn I, Nardin M, Roth CN, Wulff P, Csicsvari JL. 2024. Hippocampal cholecystokinin-expressing interneurons regulate temporal coding and contextual learning. Neuron. 112(12), 2045–2061.e10.","mla":"Rangel Guerrero, Dámaris K., et al. “Hippocampal Cholecystokinin-Expressing Interneurons Regulate Temporal Coding and Contextual Learning.” <i>Neuron</i>, vol. 112, no. 12, Cell Press, 2024, p. 2045–2061.e10, doi:<a href=\"https://doi.org/10.1016/j.neuron.2024.03.019\">10.1016/j.neuron.2024.03.019</a>.","apa":"Rangel Guerrero, D. K., Balueva, K., Barayeu, U., Baracskay, P., Gridchyn, I., Nardin, M., … Csicsvari, J. L. (2024). Hippocampal cholecystokinin-expressing interneurons regulate temporal coding and contextual learning. <i>Neuron</i>. Cell Press. <a href=\"https://doi.org/10.1016/j.neuron.2024.03.019\">https://doi.org/10.1016/j.neuron.2024.03.019</a>","chicago":"Rangel Guerrero, Dámaris K, Kira Balueva, Uladzislau Barayeu, Peter Baracskay, Igor Gridchyn, Michele Nardin, Chiara N Roth, Peer Wulff, and Jozsef L Csicsvari. “Hippocampal Cholecystokinin-Expressing Interneurons Regulate Temporal Coding and Contextual Learning.” <i>Neuron</i>. Cell Press, 2024. <a href=\"https://doi.org/10.1016/j.neuron.2024.03.019\">https://doi.org/10.1016/j.neuron.2024.03.019</a>.","ama":"Rangel Guerrero DK, Balueva K, Barayeu U, et al. Hippocampal cholecystokinin-expressing interneurons regulate temporal coding and contextual learning. <i>Neuron</i>. 2024;112(12):2045-2061.e10. doi:<a href=\"https://doi.org/10.1016/j.neuron.2024.03.019\">10.1016/j.neuron.2024.03.019</a>"},"das_tickbox":"1","department":[{"_id":"JoCs"}],"date_created":"2024-05-12T22:01:03Z","quality_controlled":"1","date_updated":"2026-10-15T08:38:29Z","oa":1,"date_published":"2024-06-19T00:00:00Z","month":"06","doi":"10.1016/j.neuron.2024.03.019","project":[{"name":"Interneuro plasticity during spatial learning","_id":"2654F984-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"I 3713-B27"}],"day":"19","language":[{"iso":"eng"}],"corr_author":"1","file":[{"content_type":"application/pdf","file_name":"2024_Neuron_RangelGuerrero.pdf","success":1,"checksum":"de5b18ff293d42bd90e83a193e889844","access_level":"open_access","date_created":"2025-01-09T09:15:31Z","creator":"dernst","file_id":"18798","date_updated":"2025-01-09T09:15:31Z","file_size":9149079,"relation":"main_file"}],"intvolume":"       112","publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"status":"public","file_date_updated":"2025-01-09T09:15:31Z","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"supplementarymaterial":"yes","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","publication":"Neuron","pmid":1,"external_id":{"pmid":["38636524"],"isi":["001300571400001"]},"acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"PreCl"}],"year":"2024","dataavailabilitystatement":"Data reported in this paper can be shared by the lead contact upon justified request.\r\n\r\nThis paper does not report original code.\r\n\r\nAny additional information required to reanalyze the data reported in this work is available from the corresponding authors upon request.","author":[{"orcid":"0000-0002-8602-4374","last_name":"Rangel Guerrero","first_name":"Dámaris K","id":"4871BCE6-F248-11E8-B48F-1D18A9856A87","full_name":"Rangel Guerrero, Dámaris K"},{"first_name":"Kira","last_name":"Balueva","full_name":"Balueva, Kira"},{"first_name":"Uladzislau","last_name":"Barayeu","id":"b515be12-ec90-11ea-b966-d0b5e15613d2","full_name":"Barayeu, Uladzislau"},{"last_name":"Baracskay","first_name":"Peter","id":"361CC00E-F248-11E8-B48F-1D18A9856A87","full_name":"Baracskay, Peter"},{"id":"4B60654C-F248-11E8-B48F-1D18A9856A87","full_name":"Gridchyn, Igor","orcid":"0000-0002-1807-1929","first_name":"Igor","last_name":"Gridchyn"},{"last_name":"Nardin","first_name":"Michele","orcid":"0000-0001-8849-6570","full_name":"Nardin, Michele","id":"30BD0376-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Chiara N","last_name":"Roth","id":"37BB4FB6-F248-11E8-B48F-1D18A9856A87","full_name":"Roth, Chiara N"},{"first_name":"Peer","last_name":"Wulff","full_name":"Wulff, Peer"},{"first_name":"Jozsef L","last_name":"Csicsvari","orcid":"0000-0002-5193-4036","full_name":"Csicsvari, Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"}],"scopus_import":"1","_id":"15381","acknowledgement":"We thank the kind donations from Andrea Varro, Brian Sauer, Edward Boyden, and Peter Jonas. We thank Jago Wallenschus, Kerstin Kronenbitter, and Didier Gremelle for outstanding technical support; Laura Bollepalli for initial viral targeting experiments; Cihan Önal for initial electrophysiology experiments; Yoav Ben-Simon for histological advice; and Anton Nikitenko for contributing to the analysis. We acknowledge support from the Miba Machine Shop, Bioimaging-, Life Science- and Pre-Clinical Facilities at ISTA. This work was supported by the Austrian Science Fund (FWF I3713 to J.C. as part of the FOR 2143 research consortium), the Deutsche Forschungsgemeinschaft (DFG) (WU 503/2-2 to P.W.), and the Medical Research Council, United Kingdom (grant G1100546/2 to P.W.).","publication_status":"published","page":"2045-2061.e10","isi":1,"article_processing_charge":"Yes (via OA deal)","fulldoi":"https://doi.org/10.1016/j.neuron.2024.03.019","OA_place":"publisher","ddc":["570"],"type":"journal_article","article_type":"original","has_accepted_license":"1","publisher":"Cell Press","abstract":[{"lang":"eng","text":"Cholecystokinin-expressing interneurons (CCKIs) are hypothesized to shape pyramidal cell-firing patterns and regulate network oscillations and related network state transitions. To directly probe their role in the CA1 region, we silenced their activity using optogenetic and chemogenetic tools in mice. Opto-tagged CCKIs revealed a heterogeneous population, and their optogenetic silencing triggered wide disinhibitory network changes affecting both pyramidal cells and other interneurons. CCKI silencing enhanced pyramidal cell burst firing and altered the temporal coding of place cells: theta phase precession was disrupted, whereas sequence reactivation was enhanced. Chemogenetic CCKI silencing did not alter the acquisition of spatial reference memories on the Morris water maze but enhanced the recall of contextual fear memories and enabled selective recall when similar environments were tested. This work suggests the key involvement of CCKIs in the control of place-cell temporal coding and the formation of contextual memories."}],"title":"Hippocampal cholecystokinin-expressing interneurons regulate temporal coding and contextual learning"},{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication":"Neuron","pmid":1,"external_id":{"pmid":["38215739"],"isi":["001202925700001"]},"year":"2024","related_material":{"record":[{"status":"public","id":"15101","relation":"dissertation_contains"}],"link":[{"relation":"press_release","description":"News on ISTA Website","url":"https://ista.ac.at/en/news/synapses-brought-to-the-point/"}]},"acknowledged_ssus":[{"_id":"EM-Fac"},{"_id":"PreCl"},{"_id":"M-Shop"}],"corr_author":"1","PlanS_conform":"1","file":[{"relation":"main_file","file_id":"19614","creator":"dernst","date_updated":"2025-04-23T14:02:08Z","file_size":8192355,"checksum":"30098b4f0209556ddfb3540a23d07ca5","date_created":"2025-04-23T14:02:08Z","access_level":"open_access","file_name":"2024_Neuron_Chen.pdf","content_type":"application/pdf","success":1}],"language":[{"iso":"eng"}],"intvolume":"       112","publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"file_date_updated":"2025-04-23T14:02:08Z","status":"public","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"quality_controlled":"1","oa":1,"date_updated":"2026-11-13T23:31:07Z","date_published":"2024-03-06T00:00:00Z","month":"03","doi":"10.1016/j.neuron.2023.12.002","day":"06","project":[{"grant_number":"692692","call_identifier":"H2020","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425","name":"Biophysics and circuit function of a giant cortical glutamatergic synapse"},{"grant_number":"Z00312","call_identifier":"FWF","name":"Synaptic communication in neuronal microcircuits","_id":"25C5A090-B435-11E9-9278-68D0E5697425"},{"name":"Mechanisms of GABA release in hippocampal circuits","_id":"bd88be38-d553-11ed-ba76-81d5a70a6ef5","grant_number":"P36232"},{"grant_number":"25383","_id":"26B66A3E-B435-11E9-9278-68D0E5697425","name":"Development of nanodomain coupling between Ca2+ channels and release sensors at a central inhibitory synapse"}],"oa_version":"Published Version","OA_type":"hybrid","issue":"5","volume":112,"citation":{"ama":"Chen J, Kaufmann W, Chen C, et al. Developmental transformation of Ca2+ channel-vesicle nanotopography at a central GABAergic synapse. <i>Neuron</i>. 2024;112(5):755-771.e9. doi:<a href=\"https://doi.org/10.1016/j.neuron.2023.12.002\">10.1016/j.neuron.2023.12.002</a>","mla":"Chen, JingJing, et al. “Developmental Transformation of Ca2+ Channel-Vesicle Nanotopography at a Central GABAergic Synapse.” <i>Neuron</i>, vol. 112, no. 5, Elsevier, 2024, p. 755–771.e9, doi:<a href=\"https://doi.org/10.1016/j.neuron.2023.12.002\">10.1016/j.neuron.2023.12.002</a>.","apa":"Chen, J., Kaufmann, W., Chen, C., Arai,  itaru, Kim, O., Shigemoto, R., &#38; Jonas, P. M. (2024). Developmental transformation of Ca2+ channel-vesicle nanotopography at a central GABAergic synapse. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2023.12.002\">https://doi.org/10.1016/j.neuron.2023.12.002</a>","chicago":"Chen, JingJing, Walter Kaufmann, Chong Chen, itaru Arai, Olena Kim, Ryuichi Shigemoto, and Peter M Jonas. “Developmental Transformation of Ca2+ Channel-Vesicle Nanotopography at a Central GABAergic Synapse.” <i>Neuron</i>. Elsevier, 2024. <a href=\"https://doi.org/10.1016/j.neuron.2023.12.002\">https://doi.org/10.1016/j.neuron.2023.12.002</a>.","ista":"Chen J, Kaufmann W, Chen C, Arai  itaru, Kim O, Shigemoto R, Jonas PM. 2024. Developmental transformation of Ca2+ channel-vesicle nanotopography at a central GABAergic synapse. Neuron. 112(5), 755–771.e9.","ieee":"J. Chen <i>et al.</i>, “Developmental transformation of Ca2+ channel-vesicle nanotopography at a central GABAergic synapse,” <i>Neuron</i>, vol. 112, no. 5. Elsevier, p. 755–771.e9, 2024.","short":"J. Chen, W. Kaufmann, C. Chen,  itaru Arai, O. Kim, R. Shigemoto, P.M. Jonas, Neuron 112 (2024) 755–771.e9."},"department":[{"_id":"PeJo"},{"_id":"EM-Fac"},{"_id":"RySh"}],"date_created":"2024-01-21T23:00:56Z","fulldoi":"https://doi.org/10.1016/j.neuron.2023.12.002","OA_place":"publisher","ddc":["570"],"type":"journal_article","has_accepted_license":"1","article_type":"original","title":"Developmental transformation of Ca2+ channel-vesicle nanotopography at a central GABAergic synapse","publisher":"Elsevier","abstract":[{"text":"The coupling between Ca2+ channels and release sensors is a key factor defining the signaling properties of a synapse. However, the coupling nanotopography at many synapses remains unknown, and it is unclear how it changes during development. To address these questions, we examined coupling at the cerebellar inhibitory basket cell (BC)-Purkinje cell (PC) synapse. Biophysical analysis of transmission by paired recording and intracellular pipette perfusion revealed that the effects of exogenous Ca2+ chelators decreased during development, despite constant reliance of release on P/Q-type Ca2+ channels. Structural analysis by freeze-fracture replica labeling (FRL) and transmission electron microscopy (EM) indicated that presynaptic P/Q-type Ca2+ channels formed nanoclusters throughout development, whereas docked vesicles were only clustered at later developmental stages. Modeling suggested a developmental transformation from a more random to a more clustered coupling nanotopography. Thus, presynaptic signaling developmentally approaches a point-to-point configuration, optimizing speed, reliability, and energy efficiency of synaptic transmission.","lang":"eng"}],"article_processing_charge":"Yes (via OA deal)","publication_status":"published","page":"755-771.e9","isi":1,"ec_funded":1,"author":[{"full_name":"Chen, JingJing","id":"2C4E65C8-F248-11E8-B48F-1D18A9856A87","first_name":"JingJing","last_name":"Chen"},{"id":"3F99E422-F248-11E8-B48F-1D18A9856A87","full_name":"Kaufmann, Walter","orcid":"0000-0001-9735-5315","first_name":"Walter","last_name":"Kaufmann"},{"id":"3DFD581A-F248-11E8-B48F-1D18A9856A87","full_name":"Chen, Chong","last_name":"Chen","first_name":"Chong"},{"full_name":"Arai, Itaru","id":"32A73F6C-F248-11E8-B48F-1D18A9856A87","first_name":"Itaru","last_name":"Arai"},{"full_name":"Kim, Olena","id":"3F8ABDDA-F248-11E8-B48F-1D18A9856A87","first_name":"Olena","last_name":"Kim","orcid":"0000-0003-2344-1039"},{"orcid":"0000-0001-8761-9444","first_name":"Ryuichi","last_name":"Shigemoto","id":"499F3ABC-F248-11E8-B48F-1D18A9856A87","full_name":"Shigemoto, Ryuichi"},{"last_name":"Jonas","first_name":"Peter M","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87"}],"_id":"14843","scopus_import":"1","acknowledgement":"We thank Drs. David DiGregorio and Erwin Neher for critically reading an earlier version of the manuscript, Ralf Schneggenburger for helpful discussions, Benjamin Suter and Katharina Lichter for support with image analysis, Chris Wojtan for advice on numerical solution of partial differential equations, Maria Reva for help with Ripley analysis, Alois Schlögl for programming, and Akari Hagiwara and Toshihisa Ohtsuka for anti-ELKS antibody. We are grateful to Florian Marr, Christina Altmutter, and Vanessa Zheden for excellent technical assistance and to Eleftheria Kralli-Beller for manuscript editing. This research was supported by the Scientific Services Units (SSUs) of ISTA (Electron Microscopy Facility, Preclinical Facility, and Machine Shop). The project received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement no. 692692), the Fonds zur Förderung der Wissenschaftlichen Forschung (Z 312-B27, Wittgenstein award; P 36232-B), all to P.J., and a DOC fellowship of the Austrian Academy of Sciences to J.-J.C."},{"intvolume":"       111","language":[{"iso":"eng"}],"corr_author":"1","status":"public","publication_identifier":{"eissn":["1097-4199"]},"pmid":1,"publication":"Neuron","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","external_id":{"isi":["000994473300001"],"pmid":["36731425"]},"year":"2023","OA_type":"free access","volume":111,"issue":"3","oa_version":"Published Version","citation":{"ama":"Villalba Requena A, Hippenmeyer S. Going back in time with TEMPO. <i>Neuron</i>. 2023;111(3):291-293. doi:<a href=\"https://doi.org/10.1016/j.neuron.2023.01.006\">10.1016/j.neuron.2023.01.006</a>","mla":"Villalba Requena, Ana, and Simon Hippenmeyer. “Going Back in Time with TEMPO.” <i>Neuron</i>, vol. 111, no. 3, Elsevier, 2023, pp. 291–93, doi:<a href=\"https://doi.org/10.1016/j.neuron.2023.01.006\">10.1016/j.neuron.2023.01.006</a>.","apa":"Villalba Requena, A., &#38; Hippenmeyer, S. (2023). Going back in time with TEMPO. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2023.01.006\">https://doi.org/10.1016/j.neuron.2023.01.006</a>","chicago":"Villalba Requena, Ana, and Simon Hippenmeyer. “Going Back in Time with TEMPO.” <i>Neuron</i>. Elsevier, 2023. <a href=\"https://doi.org/10.1016/j.neuron.2023.01.006\">https://doi.org/10.1016/j.neuron.2023.01.006</a>.","ista":"Villalba Requena A, Hippenmeyer S. 2023. Going back in time with TEMPO. Neuron. 111(3), 291–293.","ieee":"A. Villalba Requena and S. Hippenmeyer, “Going back in time with TEMPO,” <i>Neuron</i>, vol. 111, no. 3. Elsevier, pp. 291–293, 2023.","short":"A. Villalba Requena, S. Hippenmeyer, Neuron 111 (2023) 291–293."},"date_created":"2023-02-12T23:00:58Z","main_file_link":[{"url":"https://doi.org/10.1016/j.neuron.2023.01.006","open_access":"1"}],"department":[{"_id":"SiHi"}],"oa":1,"date_updated":"2026-06-18T17:27:44Z","quality_controlled":"1","month":"02","date_published":"2023-02-01T00:00:00Z","doi":"10.1016/j.neuron.2023.01.006","day":"01","article_processing_charge":"No","fulldoi":"https://doi.org/10.1016/j.neuron.2023.01.006","OA_place":"publisher","type":"journal_article","ddc":["570"],"publisher":"Elsevier","title":"Going back in time with TEMPO","abstract":[{"text":"In this issue of Neuron, Espinosa-Medina et al.1 present the TEMPO (Temporal Encoding and Manipulation in a Predefined Order) system, which enables the marking and genetic manipulation of sequentially generated cell lineages in vertebrate species in vivo.","lang":"eng"}],"article_type":"letter_note","author":[{"id":"68cb85a0-39f7-11eb-9559-9aaab4f6a247","full_name":"Villalba Requena, Ana","orcid":"0000-0002-5615-5277","last_name":"Villalba Requena","first_name":"Ana"},{"id":"37B36620-F248-11E8-B48F-1D18A9856A87","full_name":"Hippenmeyer, Simon","orcid":"0000-0003-2279-1061","last_name":"Hippenmeyer","first_name":"Simon"}],"_id":"12542","scopus_import":"1","page":"291-293","publication_status":"published","isi":1},{"pmid":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication":"Neuron","external_id":{"pmid":["35114107"],"isi":["000751819100005"]},"year":"2022","intvolume":"       110","language":[{"iso":"eng"}],"corr_author":"1","status":"public","publication_identifier":{"eissn":["1097-4199"]},"date_updated":"2026-06-18T08:47:45Z","oa":1,"quality_controlled":"1","month":"02","date_published":"2022-02-02T00:00:00Z","doi":"10.1016/j.neuron.2022.01.014","day":"02","issue":"3","volume":110,"oa_version":"Published Version","citation":{"ieee":"B. J. Confavreux and T. P. Vogels, “A familiar thought: Machines that replace us?,” <i>Neuron</i>, vol. 110, no. 3. Elsevier, pp. 361–362, 2022.","short":"B.J. Confavreux, T.P. Vogels, Neuron 110 (2022) 361–362.","ista":"Confavreux BJ, Vogels TP. 2022. A familiar thought: Machines that replace us? Neuron. 110(3), 361–362.","mla":"Confavreux, Basile J., and Tim P. Vogels. “A Familiar Thought: Machines That Replace Us?” <i>Neuron</i>, vol. 110, no. 3, Elsevier, 2022, pp. 361–62, doi:<a href=\"https://doi.org/10.1016/j.neuron.2022.01.014\">10.1016/j.neuron.2022.01.014</a>.","apa":"Confavreux, B. J., &#38; Vogels, T. P. (2022). A familiar thought: Machines that replace us? <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2022.01.014\">https://doi.org/10.1016/j.neuron.2022.01.014</a>","chicago":"Confavreux, Basile J, and Tim P Vogels. “A Familiar Thought: Machines That Replace Us?” <i>Neuron</i>. Elsevier, 2022. <a href=\"https://doi.org/10.1016/j.neuron.2022.01.014\">https://doi.org/10.1016/j.neuron.2022.01.014</a>.","ama":"Confavreux BJ, Vogels TP. A familiar thought: Machines that replace us? <i>Neuron</i>. 2022;110(3):361-362. doi:<a href=\"https://doi.org/10.1016/j.neuron.2022.01.014\">10.1016/j.neuron.2022.01.014</a>"},"date_created":"2022-02-13T23:01:34Z","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1016/j.neuron.2022.01.014"}],"department":[{"_id":"TiVo"}],"fulldoi":"https://doi.org/10.1016/j.neuron.2022.01.014","type":"journal_article","ddc":["570"],"title":"A familiar thought: Machines that replace us?","abstract":[{"text":"This is a comment on \"Meta-learning synaptic plasticity and memory addressing for continual familiarity detection.\" Neuron. 2022 Feb 2;110(3):544-557.e8.","lang":"eng"}],"publisher":"Elsevier","article_type":"letter_note","article_processing_charge":"No","page":"361-362","publication_status":"published","isi":1,"author":[{"id":"C7610134-B532-11EA-BD9F-F5753DDC885E","full_name":"Confavreux, Basile J","first_name":"Basile J","last_name":"Confavreux"},{"first_name":"Tim P","last_name":"Vogels","orcid":"0000-0003-3295-6181","full_name":"Vogels, Tim P","id":"CB6FF8D2-008F-11EA-8E08-2637E6697425"}],"_id":"10753","scopus_import":"1"},{"author":[{"full_name":"Takeo, Yukari H.","last_name":"Takeo","first_name":"Yukari H."},{"last_name":"Shuster","first_name":"S. Andrew","full_name":"Shuster, S. Andrew"},{"full_name":"Jiang, Linnie","first_name":"Linnie","last_name":"Jiang"},{"first_name":"Miley","last_name":"Hu","full_name":"Hu, Miley"},{"full_name":"Luginbuhl, David J.","last_name":"Luginbuhl","first_name":"David J."},{"full_name":"Rülicke, Thomas","last_name":"Rülicke","first_name":"Thomas"},{"full_name":"Contreras, Ximena","id":"475990FE-F248-11E8-B48F-1D18A9856A87","first_name":"Ximena","last_name":"Contreras"},{"last_name":"Hippenmeyer","first_name":"Simon","orcid":"0000-0003-2279-1061","full_name":"Hippenmeyer, Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Wagner","first_name":"Mark J.","full_name":"Wagner, Mark J."},{"last_name":"Ganguli","first_name":"Surya","full_name":"Ganguli, Surya"},{"first_name":"Liqun","last_name":"Luo","full_name":"Luo, Liqun"}],"scopus_import":"1","_id":"8544","acknowledgement":"We thank M. Mishina for GluD2fl frozen embryos, T.C. Südhof and J.I. Morgan for Cbln1fl mice, L. Anderson for help in generating the MADM alleles, W. Joo for a previously unpublished construct, M. Yuzaki, K. Shen, J. Ding, and members of the Luo lab, including J.M. Kebschull, H. Li, J. Li, T. Li, C.M. McLaughlin, D. Pederick, J. Ren, D.C. Wang and C. Xu for discussions and critiques of the manuscript, and M. Yuzaki for supporting Y.H.T. during the final phase of this project. Y.H.T. was supported by a JSPS fellowship; S.A.S. was supported by a Stanford Graduate Fellowship and an NSF Predoctoral Fellowship; L.J. is supported by a Stanford Graduate Fellowship and an NSF Predoctoral Fellowship; M.J.W. is supported by a Burroughs Wellcome Fund CASI Award. This work was supported by an NIH grant (R01-NS050538) to L.L.; the European Research Council (ERC) under the European Union's Horizon 2020 research and innovations programme (No. 725780 LinPro) to S.H.; and Simons and James S. McDonnell Foundations and an NSF CAREER award to S.G.; L.L. is an HHMI investigator.","publication_status":"published","page":"P629-644.E8","isi":1,"ec_funded":1,"article_processing_charge":"No","fulldoi":"https://doi.org/10.1016/j.neuron.2020.11.028","type":"journal_article","title":"GluD2- and Cbln1-mediated competitive synaptogenesis shapes the dendritic arbors of cerebellar Purkinje cells","abstract":[{"lang":"eng","text":"The synaptotrophic hypothesis posits that synapse formation stabilizes dendritic branches, yet this hypothesis has not been causally tested in vivo in the mammalian brain. Presynaptic ligand cerebellin-1 (Cbln1) and postsynaptic receptor GluD2 mediate synaptogenesis between granule cells and Purkinje cells in the molecular layer of the cerebellar cortex. Here we show that sparse but not global knockout of GluD2 causes under-elaboration of Purkinje cell dendrites in the deep molecular layer and overelaboration in the superficial molecular layer. Developmental, overexpression, structure-function, and genetic epistasis analyses indicate that dendrite morphogenesis defects result from competitive synaptogenesis in a Cbln1/GluD2-dependent manner. A generative model of dendritic growth based on competitive synaptogenesis largely recapitulates GluD2 sparse and global knockout phenotypes. Our results support the synaptotrophic hypothesis at initial stages of dendrite development, suggest a second mode in which cumulative synapse formation inhibits further dendrite growth, and highlight the importance of competition in dendrite morphogenesis."}],"publisher":"Elsevier","article_type":"original","issue":"4","volume":109,"oa_version":"Preprint","citation":{"ama":"Takeo YH, Shuster SA, Jiang L, et al. GluD2- and Cbln1-mediated competitive synaptogenesis shapes the dendritic arbors of cerebellar Purkinje cells. <i>Neuron</i>. 2021;109(4):P629-644.E8. doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.11.028\">10.1016/j.neuron.2020.11.028</a>","mla":"Takeo, Yukari H., et al. “GluD2- and Cbln1-Mediated Competitive Synaptogenesis Shapes the Dendritic Arbors of Cerebellar Purkinje Cells.” <i>Neuron</i>, vol. 109, no. 4, Elsevier, 2021, p. P629–644.E8, doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.11.028\">10.1016/j.neuron.2020.11.028</a>.","apa":"Takeo, Y. H., Shuster, S. A., Jiang, L., Hu, M., Luginbuhl, D. J., Rülicke, T., … Luo, L. (2021). GluD2- and Cbln1-mediated competitive synaptogenesis shapes the dendritic arbors of cerebellar Purkinje cells. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2020.11.028\">https://doi.org/10.1016/j.neuron.2020.11.028</a>","chicago":"Takeo, Yukari H., S. Andrew Shuster, Linnie Jiang, Miley Hu, David J. Luginbuhl, Thomas Rülicke, Ximena Contreras, et al. “GluD2- and Cbln1-Mediated Competitive Synaptogenesis Shapes the Dendritic Arbors of Cerebellar Purkinje Cells.” <i>Neuron</i>. Elsevier, 2021. <a href=\"https://doi.org/10.1016/j.neuron.2020.11.028\">https://doi.org/10.1016/j.neuron.2020.11.028</a>.","ista":"Takeo YH, Shuster SA, Jiang L, Hu M, Luginbuhl DJ, Rülicke T, Contreras X, Hippenmeyer S, Wagner MJ, Ganguli S, Luo L. 2021. GluD2- and Cbln1-mediated competitive synaptogenesis shapes the dendritic arbors of cerebellar Purkinje cells. Neuron. 109(4), P629–644.E8.","ieee":"Y. H. Takeo <i>et al.</i>, “GluD2- and Cbln1-mediated competitive synaptogenesis shapes the dendritic arbors of cerebellar Purkinje cells,” <i>Neuron</i>, vol. 109, no. 4. Elsevier, p. P629–644.E8, 2021.","short":"Y.H. Takeo, S.A. Shuster, L. Jiang, M. Hu, D.J. Luginbuhl, T. Rülicke, X. Contreras, S. Hippenmeyer, M.J. Wagner, S. Ganguli, L. Luo, Neuron 109 (2021) P629–644.E8."},"date_created":"2020-09-21T11:59:47Z","department":[{"_id":"SiHi"}],"main_file_link":[{"url":"https://doi.org/10.1101/2020.06.14.151258","open_access":"1"}],"date_updated":"2025-09-10T09:58:28Z","oa":1,"quality_controlled":"1","month":"02","date_published":"2021-02-17T00:00:00Z","doi":"10.1016/j.neuron.2020.11.028","project":[{"call_identifier":"H2020","grant_number":"725780","name":"Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development","_id":"260018B0-B435-11E9-9278-68D0E5697425"}],"day":"17","intvolume":"       109","language":[{"iso":"eng"}],"status":"public","publication_identifier":{"eissn":["1097-4199"]},"pmid":1,"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","publication":"Neuron","external_id":{"pmid":["33352118"],"isi":["000632657400006"]},"year":"2021"},{"article_processing_charge":"No","article_type":"original","title":"HepaCAM controls astrocyte self-organization and coupling","abstract":[{"lang":"eng","text":"Astrocytes extensively infiltrate the neuropil to regulate critical aspects of synaptic development and function. This process is regulated by transcellular interactions between astrocytes and neurons via cell adhesion molecules. How astrocytes coordinate developmental processes among one another to parse out the synaptic neuropil and form non-overlapping territories is unknown. Here we identify a molecular mechanism regulating astrocyte-astrocyte interactions during development to coordinate astrocyte morphogenesis and gap junction coupling. We show that hepaCAM, a disease-linked, astrocyte-enriched cell adhesion molecule, regulates astrocyte competition for territory and morphological complexity in the developing mouse cortex. Furthermore, conditional deletion of Hepacam from developing astrocytes significantly impairs gap junction coupling between astrocytes and disrupts the balance between synaptic excitation and inhibition. Mutations in HEPACAM cause megalencephalic leukoencephalopathy with subcortical cysts in humans. Therefore, our findings suggest that disruption of astrocyte self-organization mechanisms could be an underlying cause of neural pathology."}],"publisher":"Elsevier","ddc":["570"],"type":"journal_article","OA_place":"publisher","fulldoi":"https://doi.org/10.1016/j.neuron.2021.05.025","acknowledgement":"This work was supported by the National Institutes of Health (R01 DA047258 and R01 NS102237 to C.E., F32 NS100392 to K.T.B.) and the Holland-Trice Brain Research Award (to C.E.). K.T.B. was supported by postdoctoral fellowships from the Foerster-Bernstein Family and The Hartwell Foundation. The Hippenmeyer lab was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovations program (725780 LinPro) to S.H. R.E. was supported by Ministerio de Ciencia y Tecnología (RTI2018-093493-B-I00). We thank the Duke Light Microscopy Core Facility, the Duke Transgenic Mouse Facility, Dr. U. Schulte for assistance with proteomic experiments, and Dr. D. Silver for critical review of the manuscript. Cartoon elements of figure panels were created using BioRender.com.","_id":"9793","scopus_import":"1","author":[{"full_name":"Baldwin, Katherine T.","last_name":"Baldwin","first_name":"Katherine T."},{"last_name":"Tan","first_name":"Christabel X.","full_name":"Tan, Christabel X."},{"full_name":"Strader, Samuel T.","last_name":"Strader","first_name":"Samuel T."},{"first_name":"Changyu","last_name":"Jiang","full_name":"Jiang, Changyu"},{"full_name":"Savage, Justin T.","last_name":"Savage","first_name":"Justin T."},{"last_name":"Elorza-Vidal","first_name":"Xabier","full_name":"Elorza-Vidal, Xabier"},{"full_name":"Contreras, Ximena","id":"475990FE-F248-11E8-B48F-1D18A9856A87","last_name":"Contreras","first_name":"Ximena"},{"full_name":"Rülicke, Thomas","first_name":"Thomas","last_name":"Rülicke"},{"full_name":"Hippenmeyer, Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87","last_name":"Hippenmeyer","first_name":"Simon","orcid":"0000-0003-2279-1061"},{"first_name":"Raúl","last_name":"Estévez","full_name":"Estévez, Raúl"},{"full_name":"Ji, Ru-Rong","first_name":"Ru-Rong","last_name":"Ji"},{"last_name":"Eroglu","first_name":"Cagla","full_name":"Eroglu, Cagla"}],"ec_funded":1,"isi":1,"page":"2427-2442.e10","publication_status":"published","publication_identifier":{"eissn":["1097-4199"],"issn":["0896-6273"]},"status":"public","language":[{"iso":"eng"}],"intvolume":"       109","year":"2021","external_id":{"isi":["000692851900010"],"pmid":["34171291"]},"publication":"Neuron","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","pmid":1,"department":[{"_id":"SiHi"}],"main_file_link":[{"url":"https://doi.org/10.1016/j.neuron.2021.05.025","open_access":"1"}],"date_created":"2021-08-06T09:08:25Z","citation":{"ama":"Baldwin KT, Tan CX, Strader ST, et al. HepaCAM controls astrocyte self-organization and coupling. <i>Neuron</i>. 2021;109(15):2427-2442.e10. doi:<a href=\"https://doi.org/10.1016/j.neuron.2021.05.025\">10.1016/j.neuron.2021.05.025</a>","chicago":"Baldwin, Katherine T., Christabel X. Tan, Samuel T. Strader, Changyu Jiang, Justin T. Savage, Xabier Elorza-Vidal, Ximena Contreras, et al. “HepaCAM Controls Astrocyte Self-Organization and Coupling.” <i>Neuron</i>. Elsevier, 2021. <a href=\"https://doi.org/10.1016/j.neuron.2021.05.025\">https://doi.org/10.1016/j.neuron.2021.05.025</a>.","mla":"Baldwin, Katherine T., et al. “HepaCAM Controls Astrocyte Self-Organization and Coupling.” <i>Neuron</i>, vol. 109, no. 15, Elsevier, 2021, p. 2427–2442.e10, doi:<a href=\"https://doi.org/10.1016/j.neuron.2021.05.025\">10.1016/j.neuron.2021.05.025</a>.","apa":"Baldwin, K. T., Tan, C. X., Strader, S. T., Jiang, C., Savage, J. T., Elorza-Vidal, X., … Eroglu, C. (2021). HepaCAM controls astrocyte self-organization and coupling. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2021.05.025\">https://doi.org/10.1016/j.neuron.2021.05.025</a>","ista":"Baldwin KT, Tan CX, Strader ST, Jiang C, Savage JT, Elorza-Vidal X, Contreras X, Rülicke T, Hippenmeyer S, Estévez R, Ji R-R, Eroglu C. 2021. HepaCAM controls astrocyte self-organization and coupling. Neuron. 109(15), 2427–2442.e10.","short":"K.T. Baldwin, C.X. Tan, S.T. Strader, C. Jiang, J.T. Savage, X. Elorza-Vidal, X. Contreras, T. Rülicke, S. Hippenmeyer, R. Estévez, R.-R. Ji, C. Eroglu, Neuron 109 (2021) 2427–2442.e10.","ieee":"K. T. Baldwin <i>et al.</i>, “HepaCAM controls astrocyte self-organization and coupling,” <i>Neuron</i>, vol. 109, no. 15. Elsevier, p. 2427–2442.e10, 2021."},"oa_version":"Published Version","issue":"15","volume":109,"OA_type":"free access","day":"04","project":[{"call_identifier":"H2020","grant_number":"725780","_id":"260018B0-B435-11E9-9278-68D0E5697425","name":"Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development"}],"doi":"10.1016/j.neuron.2021.05.025","date_published":"2021-08-04T00:00:00Z","month":"08","quality_controlled":"1","date_updated":"2026-07-28T12:30:05Z","oa":1},{"external_id":{"pmid":["32070475"],"isi":["000528268200013"]},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication":"Neuron","pmid":1,"year":"2020","related_material":{"link":[{"url":"https://ist.ac.at/en/news/librarian-of-memory/","description":"News on IST Homepage","relation":"press_release"}]},"publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"status":"public","language":[{"iso":"eng"}],"intvolume":"       106","date_published":"2020-04-22T00:00:00Z","month":"04","quality_controlled":"1","date_updated":"2026-06-18T19:26:54Z","oa":1,"project":[{"call_identifier":"FP7","grant_number":"281511","_id":"257A4776-B435-11E9-9278-68D0E5697425","name":"Memory-related information processing in neuronal circuits of the hippocampus and entorhinal cortex"}],"day":"22","doi":"10.1016/j.neuron.2020.01.021","oa_version":"Published Version","volume":106,"issue":"2","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1016/j.neuron.2020.01.021"}],"department":[{"_id":"JoCs"}],"date_created":"2020-04-26T22:00:45Z","citation":{"ama":"Gridchyn I, Schönenberger P, O’Neill J, Csicsvari JL. Assembly-specific disruption of hippocampal replay leads to selective memory deficit. <i>Neuron</i>. 2020;106(2):291-300.e6. doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.01.021\">10.1016/j.neuron.2020.01.021</a>","apa":"Gridchyn, I., Schönenberger, P., O’Neill, J., &#38; Csicsvari, J. L. (2020). Assembly-specific disruption of hippocampal replay leads to selective memory deficit. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2020.01.021\">https://doi.org/10.1016/j.neuron.2020.01.021</a>","mla":"Gridchyn, Igor, et al. “Assembly-Specific Disruption of Hippocampal Replay Leads to Selective Memory Deficit.” <i>Neuron</i>, vol. 106, no. 2, Elsevier, 2020, p. 291–300.e6, doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.01.021\">10.1016/j.neuron.2020.01.021</a>.","chicago":"Gridchyn, Igor, Philipp Schönenberger, Joseph O’Neill, and Jozsef L Csicsvari. “Assembly-Specific Disruption of Hippocampal Replay Leads to Selective Memory Deficit.” <i>Neuron</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.neuron.2020.01.021\">https://doi.org/10.1016/j.neuron.2020.01.021</a>.","ista":"Gridchyn I, Schönenberger P, O’Neill J, Csicsvari JL. 2020. Assembly-specific disruption of hippocampal replay leads to selective memory deficit. Neuron. 106(2), 291–300.e6.","ieee":"I. Gridchyn, P. Schönenberger, J. O’Neill, and J. L. Csicsvari, “Assembly-specific disruption of hippocampal replay leads to selective memory deficit,” <i>Neuron</i>, vol. 106, no. 2. Elsevier, p. 291–300.e6, 2020.","short":"I. Gridchyn, P. Schönenberger, J. O’Neill, J.L. Csicsvari, Neuron 106 (2020) 291–300.e6."},"ddc":["570"],"type":"journal_article","fulldoi":"https://doi.org/10.1016/j.neuron.2020.01.021","article_type":"original","title":"Assembly-specific disruption of hippocampal replay leads to selective memory deficit","publisher":"Elsevier","article_processing_charge":"No","page":"291-300.e6","publication_status":"published","ec_funded":1,"isi":1,"author":[{"full_name":"Gridchyn, Igor","id":"4B60654C-F248-11E8-B48F-1D18A9856A87","last_name":"Gridchyn","first_name":"Igor","orcid":"0000-0002-1807-1929"},{"full_name":"Schönenberger, Philipp","id":"3B9D816C-F248-11E8-B48F-1D18A9856A87","last_name":"Schönenberger","first_name":"Philipp"},{"first_name":"Joseph","last_name":"O'Neill","full_name":"O'Neill, Joseph","id":"426376DC-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Csicsvari, Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","last_name":"Csicsvari","first_name":"Jozsef L","orcid":"0000-0002-5193-4036"}],"_id":"7684","scopus_import":"1"},{"isi":1,"page":"P919-936.E11","publication_status":"published","scopus_import":"1","_id":"8674","acknowledgement":"We thank J. Angibaud for organotypic cultures and R. Chereau and J. Tonnesen for help with the STED microscope; also D. Gonzales and the Neurocentre Magendie INSERM U1215 Genotyping Platform, for breeding management and genotyping. This work was supported by the Wellcome Trust Principal Fellowships 101896 and 212251, ERC Advanced Grant 323113, ERC Proof-of-Concept Grant 767372, EC FP7 ITN 606950, and EU CSA 811011 (D.A.R.); NRW-Rückkehrerpogramm, UCL Excellence Fellowship, German Research Foundation (DFG) SPP1757 and SFB1089 (C.H.); Human Frontiers Science Program (C.H., C.J.J., and H.J.); EMBO Long-Term Fellowship (L.B.); Marie Curie FP7 PIRG08-GA-2010-276995 (A.P.), ASTROMODULATION (S.R.); Equipe FRM DEQ 201 303 26519, Conseil Régional d’Aquitaine R12056GG, INSERM (S.H.R.O.); ANR SUPERTri, ANR Castro (ANR-17-CE16-0002), R-13-BSV4-0007-01, Université de Bordeaux, labex BRAIN (S.H.R.O. and U.V.N.); CNRS (A.P., S.H.R.O., and U.V.N.); HFSP, ANR CEXC, and France-BioImaging ANR-10-INSB-04 (U.V.N.); and FP7 MemStick Project No. 201600 (M.G.S.).","author":[{"first_name":"Christian","last_name":"Henneberger","full_name":"Henneberger, Christian"},{"last_name":"Bard","first_name":"Lucie","full_name":"Bard, Lucie"},{"full_name":"Panatier, Aude","first_name":"Aude","last_name":"Panatier"},{"full_name":"Reynolds, James P.","last_name":"Reynolds","first_name":"James P."},{"full_name":"Kopach, Olga","last_name":"Kopach","first_name":"Olga"},{"full_name":"Medvedev, Nikolay I.","first_name":"Nikolay I.","last_name":"Medvedev"},{"full_name":"Minge, Daniel","last_name":"Minge","first_name":"Daniel"},{"full_name":"Herde, Michel K.","last_name":"Herde","first_name":"Michel K."},{"last_name":"Anders","first_name":"Stefanie","full_name":"Anders, Stefanie"},{"full_name":"Kraev, Igor","first_name":"Igor","last_name":"Kraev"},{"full_name":"Heller, Janosch P.","first_name":"Janosch P.","last_name":"Heller"},{"full_name":"Rama, Sylvain","first_name":"Sylvain","last_name":"Rama"},{"full_name":"Zheng, Kaiyu","last_name":"Zheng","first_name":"Kaiyu"},{"full_name":"Jensen, Thomas P.","last_name":"Jensen","first_name":"Thomas P."},{"full_name":"Sanchez-Romero, Inmaculada","id":"3D9C5D30-F248-11E8-B48F-1D18A9856A87","first_name":"Inmaculada","last_name":"Sanchez-Romero"},{"full_name":"Jackson, Colin J.","first_name":"Colin J.","last_name":"Jackson"},{"full_name":"Janovjak, Harald L","id":"33BA6C30-F248-11E8-B48F-1D18A9856A87","last_name":"Janovjak","first_name":"Harald L","orcid":"0000-0002-8023-9315"},{"full_name":"Ottersen, Ole Petter","last_name":"Ottersen","first_name":"Ole Petter"},{"full_name":"Nagelhus, Erlend Arnulf","last_name":"Nagelhus","first_name":"Erlend Arnulf"},{"full_name":"Oliet, Stephane H.R.","last_name":"Oliet","first_name":"Stephane H.R."},{"last_name":"Stewart","first_name":"Michael G.","full_name":"Stewart, Michael G."},{"last_name":"Nägerl","first_name":"U. VAlentin","full_name":"Nägerl, U. VAlentin"},{"full_name":"Rusakov, Dmitri A. ","first_name":"Dmitri A. ","last_name":"Rusakov"}],"abstract":[{"text":"Extrasynaptic actions of glutamate are limited by high-affinity transporters expressed by perisynaptic astroglial processes (PAPs): this helps maintain point-to-point transmission in excitatory circuits. Memory formation in the brain is associated with synaptic remodeling, but how this affects PAPs and therefore extrasynaptic glutamate actions is poorly understood. Here, we used advanced imaging methods, in situ and in vivo, to find that a classical synaptic memory mechanism, long-term potentiation (LTP), triggers withdrawal of PAPs from potentiated synapses. Optical glutamate sensors combined with patch-clamp and 3D molecular localization reveal that LTP induction thus prompts spatial retreat of astroglial glutamate transporters, boosting glutamate spillover and NMDA-receptor-mediated inter-synaptic cross-talk. The LTP-triggered PAP withdrawal involves NKCC1 transporters and the actin-controlling protein cofilin but does not depend on major Ca2+-dependent cascades in astrocytes. We have therefore uncovered a mechanism by which a memory trace at one synapse could alter signal handling by multiple neighboring connections.","lang":"eng"}],"title":"LTP induction boosts glutamate spillover by driving withdrawal of perisynaptic astroglia","publisher":"Elsevier","has_accepted_license":"1","article_type":"original","fulldoi":"https://doi.org/10.1016/j.neuron.2020.08.030","type":"journal_article","ddc":["570"],"article_processing_charge":"No","doi":"10.1016/j.neuron.2020.08.030","day":"09","oa":1,"date_updated":"2026-04-16T09:33:03Z","quality_controlled":"1","month":"12","date_published":"2020-12-09T00:00:00Z","citation":{"ama":"Henneberger C, Bard L, Panatier A, et al. LTP induction boosts glutamate spillover by driving withdrawal of perisynaptic astroglia. <i>Neuron</i>. 2020;108(5):P919-936.E11. doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.08.030\">10.1016/j.neuron.2020.08.030</a>","mla":"Henneberger, Christian, et al. “LTP Induction Boosts Glutamate Spillover by Driving Withdrawal of Perisynaptic Astroglia.” <i>Neuron</i>, vol. 108, no. 5, Elsevier, 2020, p. P919–936.E11, doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.08.030\">10.1016/j.neuron.2020.08.030</a>.","apa":"Henneberger, C., Bard, L., Panatier, A., Reynolds, J. P., Kopach, O., Medvedev, N. I., … Rusakov, D. A. (2020). LTP induction boosts glutamate spillover by driving withdrawal of perisynaptic astroglia. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2020.08.030\">https://doi.org/10.1016/j.neuron.2020.08.030</a>","chicago":"Henneberger, Christian, Lucie Bard, Aude Panatier, James P. Reynolds, Olga Kopach, Nikolay I. Medvedev, Daniel Minge, et al. “LTP Induction Boosts Glutamate Spillover by Driving Withdrawal of Perisynaptic Astroglia.” <i>Neuron</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.neuron.2020.08.030\">https://doi.org/10.1016/j.neuron.2020.08.030</a>.","ista":"Henneberger C, Bard L, Panatier A, Reynolds JP, Kopach O, Medvedev NI, Minge D, Herde MK, Anders S, Kraev I, Heller JP, Rama S, Zheng K, Jensen TP, Sanchez-Romero I, Jackson CJ, Janovjak HL, Ottersen OP, Nagelhus EA, Oliet SHR, Stewart MG, Nägerl UVa, Rusakov DA. 2020. LTP induction boosts glutamate spillover by driving withdrawal of perisynaptic astroglia. Neuron. 108(5), P919–936.E11.","ieee":"C. Henneberger <i>et al.</i>, “LTP induction boosts glutamate spillover by driving withdrawal of perisynaptic astroglia,” <i>Neuron</i>, vol. 108, no. 5. Elsevier, p. P919–936.E11, 2020.","short":"C. Henneberger, L. Bard, A. Panatier, J.P. Reynolds, O. Kopach, N.I. Medvedev, D. Minge, M.K. Herde, S. Anders, I. Kraev, J.P. Heller, S. Rama, K. Zheng, T.P. Jensen, I. Sanchez-Romero, C.J. Jackson, H.L. Janovjak, O.P. Ottersen, E.A. Nagelhus, S.H.R. Oliet, M.G. Stewart, U.Va. Nägerl, D.A. Rusakov, Neuron 108 (2020) P919–936.E11."},"date_created":"2020-10-18T22:01:38Z","department":[{"_id":"HaJa"}],"issue":"5","volume":108,"oa_version":"Published Version","year":"2020","pmid":1,"user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","publication":"Neuron","external_id":{"pmid":["32976770"],"isi":["000603428000010"]},"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"intvolume":"       108","language":[{"iso":"eng"}],"file":[{"checksum":"054562bb50165ef9a1f46631c1c5e36b","date_created":"2020-12-10T14:42:09Z","access_level":"open_access","content_type":"application/pdf","file_name":"2020_Neuron_Henneberger.pdf","success":1,"relation":"main_file","date_updated":"2020-12-10T14:42:09Z","file_id":"8939","creator":"dernst","file_size":7518960}],"file_date_updated":"2020-12-10T14:42:09Z","status":"public","publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]}},{"tmp":{"name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","short":"CC BY-NC-ND (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","image":"/images/cc_by_nc_nd.png"},"publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"status":"public","file_date_updated":"2020-07-14T12:47:30Z","file":[{"checksum":"1fb6e195c583eb0c5cabf26f69ff6675","date_created":"2019-05-15T09:28:41Z","access_level":"open_access","content_type":"application/pdf","file_name":"2019_Neuron_Ortiz.pdf","relation":"main_file","date_updated":"2020-07-14T12:47:30Z","creator":"dernst","file_id":"6457","file_size":7288572}],"language":[{"iso":"eng"}],"intvolume":"       102","year":"2019","external_id":{"isi":["000463337900018"],"pmid":["30824354"]},"publication":"Neuron","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","pmid":1,"department":[{"_id":"SiHi"}],"date_created":"2019-05-14T13:06:30Z","citation":{"ista":"Ortiz-Álvarez G, Daclin M, Shihavuddin A, Lansade P, Fortoul A, Faucourt M, Clavreul S, Lalioti M, Taraviras S, Hippenmeyer S, Livet J, Meunier A, Genovesio A, Spassky N. 2019. Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members. Neuron. 102(1), 159–172.e7.","short":"G. Ortiz-Álvarez, M. Daclin, A. Shihavuddin, P. Lansade, A. Fortoul, M. Faucourt, S. Clavreul, M. Lalioti, S. Taraviras, S. Hippenmeyer, J. Livet, A. Meunier, A. Genovesio, N. Spassky, Neuron 102 (2019) 159–172.e7.","ieee":"G. Ortiz-Álvarez <i>et al.</i>, “Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members,” <i>Neuron</i>, vol. 102, no. 1. Elsevier, p. 159–172.e7, 2019.","ama":"Ortiz-Álvarez G, Daclin M, Shihavuddin A, et al. Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members. <i>Neuron</i>. 2019;102(1):159-172.e7. doi:<a href=\"https://doi.org/10.1016/j.neuron.2019.01.051\">10.1016/j.neuron.2019.01.051</a>","chicago":"Ortiz-Álvarez, G, M Daclin, A Shihavuddin, P Lansade, A Fortoul, M Faucourt, S Clavreul, et al. “Adult Neural Stem Cells and Multiciliated Ependymal Cells Share a Common Lineage Regulated by the Geminin Family Members.” <i>Neuron</i>. Elsevier, 2019. <a href=\"https://doi.org/10.1016/j.neuron.2019.01.051\">https://doi.org/10.1016/j.neuron.2019.01.051</a>.","apa":"Ortiz-Álvarez, G., Daclin, M., Shihavuddin, A., Lansade, P., Fortoul, A., Faucourt, M., … Spassky, N. (2019). Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2019.01.051\">https://doi.org/10.1016/j.neuron.2019.01.051</a>","mla":"Ortiz-Álvarez, G., et al. “Adult Neural Stem Cells and Multiciliated Ependymal Cells Share a Common Lineage Regulated by the Geminin Family Members.” <i>Neuron</i>, vol. 102, no. 1, Elsevier, 2019, p. 159–172.e7, doi:<a href=\"https://doi.org/10.1016/j.neuron.2019.01.051\">10.1016/j.neuron.2019.01.051</a>."},"oa_version":"Published Version","issue":"1","volume":102,"day":"03","project":[{"_id":"260018B0-B435-11E9-9278-68D0E5697425","name":"Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development","call_identifier":"H2020","grant_number":"725780"}],"doi":"10.1016/j.neuron.2019.01.051","date_published":"2019-04-03T00:00:00Z","month":"04","quality_controlled":"1","oa":1,"date_updated":"2025-04-14T07:43:05Z","article_processing_charge":"No","has_accepted_license":"1","title":"Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members","abstract":[{"lang":"eng","text":"Adult neural stem cells and multiciliated ependymalcells are glial cells essential for neurological func-tions. Together, they make up the adult neurogenicniche. Using both high-throughput clonal analysisand single-cell resolution of progenitor division pat-terns and fate, we show that these two componentsof the neurogenic niche are lineally related: adult neu-ral stem cells are sister cells to ependymal cells,whereas most ependymal cells arise from the termi-nal symmetric divisions of the lineage. Unexpectedly,we found that the antagonist regulators of DNA repli-cation, GemC1 and Geminin, can tune the proportionof neural stem cells and ependymal cells. Our find-ings reveal the controlled dynamic of the neurogenicniche ontogeny and identify the Geminin familymembers as key regulators of the initial pool of adultneural stem cells."}],"publisher":"Elsevier","ddc":["570"],"type":"journal_article","fulldoi":"https://doi.org/10.1016/j.neuron.2019.01.051","_id":"6454","scopus_import":"1","author":[{"full_name":"Ortiz-Álvarez, G","first_name":"G","last_name":"Ortiz-Álvarez"},{"last_name":"Daclin","first_name":"M","full_name":"Daclin, M"},{"full_name":"Shihavuddin, A","last_name":"Shihavuddin","first_name":"A"},{"first_name":"P","last_name":"Lansade","full_name":"Lansade, P"},{"full_name":"Fortoul, A","first_name":"A","last_name":"Fortoul"},{"first_name":"M","last_name":"Faucourt","full_name":"Faucourt, M"},{"full_name":"Clavreul, S","last_name":"Clavreul","first_name":"S"},{"full_name":"Lalioti, ME","first_name":"ME","last_name":"Lalioti"},{"first_name":"S","last_name":"Taraviras","full_name":"Taraviras, S"},{"id":"37B36620-F248-11E8-B48F-1D18A9856A87","full_name":"Hippenmeyer, Simon","orcid":"0000-0003-2279-1061","last_name":"Hippenmeyer","first_name":"Simon"},{"full_name":"Livet, J","first_name":"J","last_name":"Livet"},{"full_name":"Meunier, A","first_name":"A","last_name":"Meunier"},{"full_name":"Genovesio, A","first_name":"A","last_name":"Genovesio"},{"last_name":"Spassky","first_name":"N","full_name":"Spassky, N"}],"ec_funded":1,"isi":1,"publication_status":"published","page":"159-172.e7"},{"article_processing_charge":"No","publisher":"Elsevier","title":"Memo1 tiles the radial glial cell grid","article_type":"letter_note","type":"journal_article","ddc":["570"],"fulldoi":"https://doi.org/10.1016/j.neuron.2019.08.021","scopus_import":"1","_id":"6830","author":[{"last_name":"Contreras","first_name":"Ximena","full_name":"Contreras, Ximena","id":"475990FE-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Hippenmeyer, Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87","first_name":"Simon","last_name":"Hippenmeyer","orcid":"0000-0003-2279-1061"}],"isi":1,"publication_status":"published","page":"750-752","status":"public","publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"intvolume":"       103","language":[{"iso":"eng"}],"year":"2019","related_material":{"record":[{"status":"public","id":"7902","relation":"part_of_dissertation"}]},"external_id":{"pmid":["31487522"],"isi":["000484400200002"]},"pmid":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication":"Neuron","date_created":"2019-08-25T22:00:50Z","department":[{"_id":"SiHi"}],"main_file_link":[{"url":"https://doi.org/10.1016/j.neuron.2019.08.021","open_access":"1"}],"citation":{"ista":"Contreras X, Hippenmeyer S. 2019. Memo1 tiles the radial glial cell grid. Neuron. 103(5), 750–752.","ieee":"X. Contreras and S. Hippenmeyer, “Memo1 tiles the radial glial cell grid,” <i>Neuron</i>, vol. 103, no. 5. Elsevier, pp. 750–752, 2019.","short":"X. Contreras, S. Hippenmeyer, Neuron 103 (2019) 750–752.","ama":"Contreras X, Hippenmeyer S. Memo1 tiles the radial glial cell grid. <i>Neuron</i>. 2019;103(5):750-752. doi:<a href=\"https://doi.org/10.1016/j.neuron.2019.08.021\">10.1016/j.neuron.2019.08.021</a>","apa":"Contreras, X., &#38; Hippenmeyer, S. (2019). Memo1 tiles the radial glial cell grid. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2019.08.021\">https://doi.org/10.1016/j.neuron.2019.08.021</a>","mla":"Contreras, Ximena, and Simon Hippenmeyer. “Memo1 Tiles the Radial Glial Cell Grid.” <i>Neuron</i>, vol. 103, no. 5, Elsevier, 2019, pp. 750–52, doi:<a href=\"https://doi.org/10.1016/j.neuron.2019.08.021\">10.1016/j.neuron.2019.08.021</a>.","chicago":"Contreras, Ximena, and Simon Hippenmeyer. “Memo1 Tiles the Radial Glial Cell Grid.” <i>Neuron</i>. Elsevier, 2019. <a href=\"https://doi.org/10.1016/j.neuron.2019.08.021\">https://doi.org/10.1016/j.neuron.2019.08.021</a>."},"volume":103,"issue":"5","oa_version":"Published Version","day":"04","doi":"10.1016/j.neuron.2019.08.021","month":"09","date_published":"2019-09-04T00:00:00Z","oa":1,"date_updated":"2026-11-13T23:30:18Z","quality_controlled":"1"},{"external_id":{"pmid":["25533484"],"isi":["000348295100015"]},"pmid":1,"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","publication":"Neuron","year":"2015","status":"public","file_date_updated":"2020-07-14T12:45:01Z","publication_identifier":{"eissn":["1097-4199"],"issn":["0896-6273"]},"intvolume":"        85","file":[{"checksum":"725f4d5be2dbb44b283ce722645ef37d","date_created":"2018-12-12T10:15:47Z","access_level":"open_access","content_type":"application/pdf","file_name":"IST-2016-482-v1+1_1-s2.0-S0896627314010472-main.pdf","relation":"main_file","file_id":"5170","date_updated":"2020-07-14T12:45:01Z","creator":"system","file_size":3080111}],"language":[{"iso":"eng"}],"tmp":{"image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/3.0/legalcode","short":"CC BY (3.0)","name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)"},"month":"01","date_published":"2015-01-07T00:00:00Z","date_updated":"2025-09-23T09:38:39Z","oa":1,"quality_controlled":"1","day":"07","doi":"10.1016/j.neuron.2014.11.019","OA_type":"hybrid","volume":85,"issue":"1","oa_version":"Published Version","pubrep_id":"482","date_created":"2018-12-11T11:52:39Z","department":[{"_id":"RySh"}],"citation":{"ieee":"Y. Nakamura <i>et al.</i>, “Nanoscale distribution of presynaptic Ca2+ channels and its impact on vesicular release during development,” <i>Neuron</i>, vol. 85, no. 1. Elsevier, pp. 145–158, 2015.","short":"Y. Nakamura, H. Harada, N. Kamasawa, K. Matsui, J. Rothman, R. Shigemoto, R.A. Silver, D. Digregorio, T. Takahashi, Neuron 85 (2015) 145–158.","ista":"Nakamura Y, Harada H, Kamasawa N, Matsui K, Rothman J, Shigemoto R, Silver RA, Digregorio D, Takahashi T. 2015. Nanoscale distribution of presynaptic Ca2+ channels and its impact on vesicular release during development. Neuron. 85(1), 145–158.","apa":"Nakamura, Y., Harada, H., Kamasawa, N., Matsui, K., Rothman, J., Shigemoto, R., … Takahashi, T. (2015). Nanoscale distribution of presynaptic Ca2+ channels and its impact on vesicular release during development. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2014.11.019\">https://doi.org/10.1016/j.neuron.2014.11.019</a>","mla":"Nakamura, Yukihiro, et al. “Nanoscale Distribution of Presynaptic Ca2+ Channels and Its Impact on Vesicular Release during Development.” <i>Neuron</i>, vol. 85, no. 1, Elsevier, 2015, pp. 145–58, doi:<a href=\"https://doi.org/10.1016/j.neuron.2014.11.019\">10.1016/j.neuron.2014.11.019</a>.","chicago":"Nakamura, Yukihiro, Harumi Harada, Naomi Kamasawa, Ko Matsui, Jason Rothman, Ryuichi Shigemoto, R Angus Silver, David Digregorio, and Tomoyuki Takahashi. “Nanoscale Distribution of Presynaptic Ca2+ Channels and Its Impact on Vesicular Release during Development.” <i>Neuron</i>. Elsevier, 2015. <a href=\"https://doi.org/10.1016/j.neuron.2014.11.019\">https://doi.org/10.1016/j.neuron.2014.11.019</a>.","ama":"Nakamura Y, Harada H, Kamasawa N, et al. Nanoscale distribution of presynaptic Ca2+ channels and its impact on vesicular release during development. <i>Neuron</i>. 2015;85(1):145-158. doi:<a href=\"https://doi.org/10.1016/j.neuron.2014.11.019\">10.1016/j.neuron.2014.11.019</a>"},"type":"journal_article","ddc":["570"],"fulldoi":"https://doi.org/10.1016/j.neuron.2014.11.019","OA_place":"publisher","title":"Nanoscale distribution of presynaptic Ca2+ channels and its impact on vesicular release during development","publisher":"Elsevier","abstract":[{"text":"Synaptic efficacy and precision are influenced by the coupling of voltage-gated Ca2+ channels (VGCCs) to vesicles. But because the topography of VGCCs and their proximity to vesicles is unknown, a quantitative understanding of the determinants of vesicular release at nanometer scale is lacking. To investigate this, we combined freeze-fracture replica immunogold labeling of Cav2.1 channels, local [Ca2+] imaging, and patch pipette perfusion of EGTA at the calyx of Held. Between postnatal day 7 and 21, VGCCs formed variable sized clusters and vesicular release became less sensitive to EGTA, whereas fixed Ca2+ buffer properties remained constant. Experimentally constrained reaction-diffusion simulations suggest that Ca2+ sensors for vesicular release are located at the perimeter of VGCC clusters (&lt;30nm) and predict that VGCC number per cluster determines vesicular release probability without altering release time course. This &quot;perimeter release model&quot; provides a unifying framework accounting for developmental changes in both synaptic efficacy and time course.","lang":"eng"}],"has_accepted_license":"1","article_type":"original","article_processing_charge":"Yes (in subscription journal)","license":"https://creativecommons.org/licenses/by/3.0/","page":"145 - 158","publication_status":"published","isi":1,"author":[{"last_name":"Nakamura","first_name":"Yukihiro","full_name":"Nakamura, Yukihiro"},{"orcid":"0000-0001-7429-7896","last_name":"Harada","first_name":"Harumi","id":"2E55CDF2-F248-11E8-B48F-1D18A9856A87","full_name":"Harada, Harumi"},{"full_name":"Kamasawa, Naomi","first_name":"Naomi","last_name":"Kamasawa"},{"last_name":"Matsui","first_name":"Ko","full_name":"Matsui, Ko"},{"full_name":"Rothman, Jason","first_name":"Jason","last_name":"Rothman"},{"orcid":"0000-0001-8761-9444","first_name":"Ryuichi","last_name":"Shigemoto","id":"499F3ABC-F248-11E8-B48F-1D18A9856A87","full_name":"Shigemoto, Ryuichi"},{"last_name":"Silver","first_name":"R Angus","full_name":"Silver, R Angus"},{"full_name":"Digregorio, David","first_name":"David","last_name":"Digregorio"},{"full_name":"Takahashi, Tomoyuki","last_name":"Takahashi","first_name":"Tomoyuki"}],"acknowledgement":"This work was supported by the Core Research for Evolutional Science and Technology (CREST) of Japan Science and Technology Agency to T.T. and R.S.; by the funding provided by Okinawa Institute of Science and Technology (OIST) to T.T. and Y.N.; by JSPS Core-to-Core Program, A. Advanced Networks to T.T.; by the Grant-in-Aid for Young Scientists from the Japanese Ministry of Education, Culture, Sports, Science and Technology (#23700474) to Y.N.; by the Centre National de la Recherche Scientifique through the Actions Thematiques et Initatives sur Programme, Fondation Fyssen, Fondation pour la Recherche Medicale, Federation pour la Recherche sur le Cerveau, Agence Nationale de la Recherche (ANR-2007-Neuro-008-01 and ANR-2010-BLAN-1411-01) to D.D. and Y.N.; and by the European Commission Coordination Action ENINET (LSHM-CT-2005-19063) to D.D. and R.A.S. R.A.S. and J.S.R. were funded by Wellcome Trust Senior (064413) and Principal (095667) Research Fellowship and an ERC advance grant (294667) to RAS.","publist_id":"5625","_id":"1546","scopus_import":"1"},{"author":[{"first_name":"Seungtae","last_name":"Baek","full_name":"Baek, Seungtae"},{"full_name":"Kerjan, Géraldine","last_name":"Kerjan","first_name":"Géraldine"},{"full_name":"Bielas, Stephanie","first_name":"Stephanie","last_name":"Bielas"},{"last_name":"Lee","first_name":"Jieun","full_name":"Lee, Jieun"},{"last_name":"Fenstermaker","first_name":"Ali","full_name":"Fenstermaker, Ali"},{"last_name":"Novarino","first_name":"Gaia","orcid":"0000-0002-7673-7178","full_name":"Novarino, Gaia","id":"3E57A680-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Gleeson, Joseph","first_name":"Joseph","last_name":"Gleeson"}],"publist_id":"5322","_id":"1791","acknowledgement":"This work was supported by the National Institutes of Health R01NS41537. G.K. was supported by an EMBO Long Term Fellowship, S.L.B. by the A.P. Giannini Fellowship, and A.G.F. by the Brain Behavior Research Foundation","publication_status":"published","page":"1255 - 1262","article_processing_charge":"No","fulldoi":"https://doi.org/10.1016/j.neuron.2014.04.036","type":"journal_article","abstract":[{"text":"Acute gene inactivation using short hairpin RNA (shRNA, knockdown) in developing brain is a powerful technique to study genetic function; however, discrepancies between knockdown and knockout murine phenotypes have left unanswered questions. For example, doublecortin (Dcx) knockdown but not knockout shows a neocortical neuronal migration phenotype. Here we report that in utero electroporation of shRNA, but not siRNA or miRNA, to Dcx demonstrates a migration phenotype in Dcx knockouts akin to the effect in wild-type mice, suggestingshRNA-mediated off-target toxicity. This effect wasnot limited to Dcx, as it was observed in Dclk1 knockouts, as well as with a fraction of scrambled shRNAs, suggesting a sequence-dependent but not sequence-specific effect. Profiling RNAs from electroporated cells showed a defect in endogenous let7 miRNA levels, and disruption of let7 or Dicer recapitulated the migration defect. The results suggest that shRNA-mediated knockdown can produce untoward migration effects by altering endogenous miRNA pathways.","lang":"eng"}],"publisher":"Elsevier","title":"Off-target effect of doublecortin family shRNA on neuronal migration associated with endogenous MicroRNA dysregulation","article_type":"original","issue":"6","volume":82,"OA_type":"closed access","oa_version":"None","citation":{"short":"S. Baek, G. Kerjan, S. Bielas, J. Lee, A. Fenstermaker, G. Novarino, J. Gleeson, Neuron 82 (2014) 1255–1262.","ieee":"S. Baek <i>et al.</i>, “Off-target effect of doublecortin family shRNA on neuronal migration associated with endogenous MicroRNA dysregulation,” <i>Neuron</i>, vol. 82, no. 6. Elsevier, pp. 1255–1262, 2014.","ista":"Baek S, Kerjan G, Bielas S, Lee J, Fenstermaker A, Novarino G, Gleeson J. 2014. Off-target effect of doublecortin family shRNA on neuronal migration associated with endogenous MicroRNA dysregulation. Neuron. 82(6), 1255–1262.","chicago":"Baek, Seungtae, Géraldine Kerjan, Stephanie Bielas, Jieun Lee, Ali Fenstermaker, Gaia Novarino, and Joseph Gleeson. “Off-Target Effect of Doublecortin Family ShRNA on Neuronal Migration Associated with Endogenous MicroRNA Dysregulation.” <i>Neuron</i>. Elsevier, 2014. <a href=\"https://doi.org/10.1016/j.neuron.2014.04.036\">https://doi.org/10.1016/j.neuron.2014.04.036</a>.","mla":"Baek, Seungtae, et al. “Off-Target Effect of Doublecortin Family ShRNA on Neuronal Migration Associated with Endogenous MicroRNA Dysregulation.” <i>Neuron</i>, vol. 82, no. 6, Elsevier, 2014, pp. 1255–62, doi:<a href=\"https://doi.org/10.1016/j.neuron.2014.04.036\">10.1016/j.neuron.2014.04.036</a>.","apa":"Baek, S., Kerjan, G., Bielas, S., Lee, J., Fenstermaker, A., Novarino, G., &#38; Gleeson, J. (2014). Off-target effect of doublecortin family shRNA on neuronal migration associated with endogenous MicroRNA dysregulation. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2014.04.036\">https://doi.org/10.1016/j.neuron.2014.04.036</a>","ama":"Baek S, Kerjan G, Bielas S, et al. Off-target effect of doublecortin family shRNA on neuronal migration associated with endogenous MicroRNA dysregulation. <i>Neuron</i>. 2014;82(6):1255-1262. doi:<a href=\"https://doi.org/10.1016/j.neuron.2014.04.036\">10.1016/j.neuron.2014.04.036</a>"},"date_created":"2018-12-11T11:54:01Z","date_updated":"2026-09-04T11:50:27Z","month":"06","date_published":"2014-06-18T00:00:00Z","doi":"10.1016/j.neuron.2014.04.036","day":"18","intvolume":"        82","language":[{"iso":"eng"}],"status":"public","publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"pmid":1,"publication":"Neuron","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","external_id":{"pmid":["24945770"]},"extern":"1","year":"2014"},{"author":[{"last_name":"Kerr","first_name":"Angharad","full_name":"Kerr, Angharad"},{"full_name":"Jonas, Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M","last_name":"Jonas","orcid":"0000-0001-5001-4804"}],"publist_id":"2388","_id":"3823","page":"5 - 7","publication_status":"published","article_processing_charge":"No","fulldoi":"https://doi.org/10.1016/j.neuron.2007.12.015","type":"journal_article","article_type":"original","title":"The two sides of hippocampal mossy fiber plasticity (Review)","abstract":[{"lang":"eng","text":"Two studies in this issue of Neuron (Kwon and Castillo and Rebola et al.) show that the mossy fiber-CA3 pyramidal neuron synapse, a hippocampal synapse well known for its presynaptic plasticity, exhibits a novel form of long-term potentiation of NMDAR-mediated currents, which is induced and expressed postsynaptically."}],"publisher":"Elsevier","oa_version":"None","OA_type":"free access","volume":57,"issue":"1","citation":{"ista":"Kerr A, Jonas PM. 2008. The two sides of hippocampal mossy fiber plasticity (Review). Neuron. 57(1), 5–7.","short":"A. Kerr, P.M. Jonas, Neuron 57 (2008) 5–7.","ieee":"A. Kerr and P. M. Jonas, “The two sides of hippocampal mossy fiber plasticity (Review),” <i>Neuron</i>, vol. 57, no. 1. Elsevier, pp. 5–7, 2008.","ama":"Kerr A, Jonas PM. The two sides of hippocampal mossy fiber plasticity (Review). <i>Neuron</i>. 2008;57(1):5-7. doi:<a href=\"https://doi.org/10.1016/j.neuron.2007.12.015\">10.1016/j.neuron.2007.12.015</a>","chicago":"Kerr, Angharad, and Peter M Jonas. “The Two Sides of Hippocampal Mossy Fiber Plasticity (Review).” <i>Neuron</i>. Elsevier, 2008. <a href=\"https://doi.org/10.1016/j.neuron.2007.12.015\">https://doi.org/10.1016/j.neuron.2007.12.015</a>.","apa":"Kerr, A., &#38; Jonas, P. M. (2008). The two sides of hippocampal mossy fiber plasticity (Review). <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2007.12.015\">https://doi.org/10.1016/j.neuron.2007.12.015</a>","mla":"Kerr, Angharad, and Peter M. Jonas. “The Two Sides of Hippocampal Mossy Fiber Plasticity (Review).” <i>Neuron</i>, vol. 57, no. 1, Elsevier, 2008, pp. 5–7, doi:<a href=\"https://doi.org/10.1016/j.neuron.2007.12.015\">10.1016/j.neuron.2007.12.015</a>."},"date_created":"2018-12-11T12:05:22Z","date_updated":"2026-05-29T11:07:13Z","date_published":"2008-01-10T00:00:00Z","month":"01","doi":"10.1016/j.neuron.2007.12.015","day":"10","language":[{"iso":"eng"}],"intvolume":"        57","publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"status":"public","publication":"Neuron","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","pmid":1,"external_id":{"pmid":["18184559"]},"extern":"1","year":"2008"},{"date_updated":"2026-05-29T10:55:32Z","month":"02","date_published":"2008-02-28T00:00:00Z","doi":"10.1016/j.neuron.2007.12.026","day":"28","volume":57,"OA_type":"closed access","issue":"4","oa_version":"None","citation":{"ama":"Bucurenciu I, Kulik Á, Schwaller B, Frotscher M, Jonas PM. Nanodomain coupling between Ca(2+) channels and Ca2+ sensors promotes fast and efficient transmitter release at a cortical GABAergic synapse. <i>Neuron</i>. 2008;57(4):536-545. doi:<a href=\"https://doi.org/10.1016/j.neuron.2007.12.026\">10.1016/j.neuron.2007.12.026</a>","chicago":"Bucurenciu, Iancu, Ákos Kulik, Beat Schwaller, Michael Frotscher, and Peter M Jonas. “Nanodomain Coupling between Ca(2+) Channels and Ca2+ Sensors Promotes Fast and Efficient Transmitter Release at a Cortical GABAergic Synapse.” <i>Neuron</i>. Elsevier, 2008. <a href=\"https://doi.org/10.1016/j.neuron.2007.12.026\">https://doi.org/10.1016/j.neuron.2007.12.026</a>.","mla":"Bucurenciu, Iancu, et al. “Nanodomain Coupling between Ca(2+) Channels and Ca2+ Sensors Promotes Fast and Efficient Transmitter Release at a Cortical GABAergic Synapse.” <i>Neuron</i>, vol. 57, no. 4, Elsevier, 2008, pp. 536–45, doi:<a href=\"https://doi.org/10.1016/j.neuron.2007.12.026\">10.1016/j.neuron.2007.12.026</a>.","apa":"Bucurenciu, I., Kulik, Á., Schwaller, B., Frotscher, M., &#38; Jonas, P. M. (2008). Nanodomain coupling between Ca(2+) channels and Ca2+ sensors promotes fast and efficient transmitter release at a cortical GABAergic synapse. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2007.12.026\">https://doi.org/10.1016/j.neuron.2007.12.026</a>","ista":"Bucurenciu I, Kulik Á, Schwaller B, Frotscher M, Jonas PM. 2008. Nanodomain coupling between Ca(2+) channels and Ca2+ sensors promotes fast and efficient transmitter release at a cortical GABAergic synapse. Neuron. 57(4), 536–45.","short":"I. Bucurenciu, Á. Kulik, B. Schwaller, M. Frotscher, P.M. Jonas, Neuron 57 (2008) 536–45.","ieee":"I. Bucurenciu, Á. Kulik, B. Schwaller, M. Frotscher, and P. M. Jonas, “Nanodomain coupling between Ca(2+) channels and Ca2+ sensors promotes fast and efficient transmitter release at a cortical GABAergic synapse,” <i>Neuron</i>, vol. 57, no. 4. Elsevier, pp. 536–45, 2008."},"date_created":"2018-12-11T12:05:22Z","pmid":1,"publication":"Neuron","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","external_id":{"pmid":["18304483"]},"extern":"1","year":"2008","intvolume":"        57","language":[{"iso":"eng"}],"status":"public","publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"publication_status":"published","page":"536 - 45","author":[{"full_name":"Bucurenciu, Iancu","last_name":"Bucurenciu","first_name":"Iancu"},{"full_name":"Kulik, Ákos","last_name":"Kulik","first_name":"Ákos"},{"last_name":"Schwaller","first_name":"Beat","full_name":"Schwaller, Beat"},{"first_name":"Michael","last_name":"Frotscher","full_name":"Frotscher, Michael"},{"orcid":"0000-0001-5001-4804","last_name":"Jonas","first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","full_name":"Jonas, Peter M"}],"publist_id":"2385","_id":"3824","fulldoi":"https://doi.org/10.1016/j.neuron.2007.12.026","type":"journal_article","title":"Nanodomain coupling between Ca(2+) channels and Ca2+ sensors promotes fast and efficient transmitter release at a cortical GABAergic synapse","abstract":[{"text":"It is generally thought that transmitter release at mammalian central synapses is triggered by Ca2+ microdomains, implying loose coupling between presynaptic Ca2+ channels and Ca2+ sensors of exocytosis. Here we show that Ca2+ channel subunit immunoreactivity is highly concentrated in the active zone of GABAergic presynaptic terminals of putative parvalbumin-containing basket cells in the hippocampus. Paired recording combined with presynaptic patch pipette perfusion revealed that GABA release at basket cell-granule cell synapses is sensitive to millimolar concentrations of the fast Ca2+ chelator BAPTA but insensitive to the slow Ca2+ chelator EGTA. These results show that Ca2+ source and Ca2+ sensor are tightly coupled at this synapse, with distances in the range of 10-20 nm. Models of Ca2+ inflow-exocytosis coupling further reveal that the tightness of coupling increases efficacy, speed, and temporal precision of transmitter release. Thus, tight coupling contributes to fast feedforward and feedback inhibition in the hippocampal network.","lang":"eng"}],"publisher":"Elsevier","article_type":"original","article_processing_charge":"No"},{"fulldoi":"https://doi.org/10.1016/j.neuron.2005.11.036","type":"journal_article","title":"Shunting inhibition improves robustness of gamma oscillations in hippocampal interneuron networks by homogenizing firing rates","abstract":[{"text":"Networks of GABAergic neurons are key elements in the generation of gamma oscillations in the brain. Computational studies suggested that the emergence of coherent oscillations requires hyperpolarizing inhibition. Here, we show that GABA(A) receptor-mediated inhibition in mature interneurons of the hippocampal dentate gyrus is shunting rather than hyperpolarizing. Unexpectedly, when shunting inhibition is incorporated into a structured interneuron network model with fast and strong synapses, coherent oscillations emerge. In comparison to hyperpolarizing inhibition, networks with shunting inhibition show several advantages. First, oscillations are generated with smaller tonic excitatory drive. Second, network frequencies are tuned to the gamma band. Finally, robustness against heterogeneity in the excitatory drive is markedly improved. In single interneurons, shunting inhibition shortens the interspike interval for low levels of drive but prolongs it for high levels, leading to homogenization of neuronal firing rates. Thus, shunting inhibition may confer increased robustness to gamma oscillations in the brain.","lang":"eng"}],"publisher":"Elsevier","article_type":"original","article_processing_charge":"No","publication_status":"published","page":"107 - 17","author":[{"full_name":"Vida, Imre","first_name":"Imre","last_name":"Vida"},{"last_name":"Bartos","first_name":"Marlene","full_name":"Bartos, Marlene"},{"id":"353C1B58-F248-11E8-B48F-1D18A9856A87","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804","last_name":"Jonas","first_name":"Peter M"}],"_id":"3811","publist_id":"2398","pmid":1,"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","publication":"Neuron","external_id":{"pmid":["16387643"]},"extern":"1","year":"2006","intvolume":"        49","language":[{"iso":"eng"}],"status":"public","publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"date_updated":"2026-08-27T09:32:57Z","month":"01","date_published":"2006-01-01T00:00:00Z","doi":"10.1016/j.neuron.2005.11.036","day":"01","OA_type":"closed access","issue":"1","volume":49,"oa_version":"None","citation":{"ista":"Vida I, Bartos M, Jonas PM. 2006. Shunting inhibition improves robustness of gamma oscillations in hippocampal interneuron networks by homogenizing firing rates. Neuron. 49(1), 107–17.","short":"I. Vida, M. Bartos, P.M. Jonas, Neuron 49 (2006) 107–17.","ieee":"I. Vida, M. Bartos, and P. M. Jonas, “Shunting inhibition improves robustness of gamma oscillations in hippocampal interneuron networks by homogenizing firing rates,” <i>Neuron</i>, vol. 49, no. 1. Elsevier, pp. 107–17, 2006.","ama":"Vida I, Bartos M, Jonas PM. Shunting inhibition improves robustness of gamma oscillations in hippocampal interneuron networks by homogenizing firing rates. <i>Neuron</i>. 2006;49(1):107-117. doi:<a href=\"https://doi.org/10.1016/j.neuron.2005.11.036\">10.1016/j.neuron.2005.11.036</a>","chicago":"Vida, Imre, Marlene Bartos, and Peter M Jonas. “Shunting Inhibition Improves Robustness of Gamma Oscillations in Hippocampal Interneuron Networks by Homogenizing Firing Rates.” <i>Neuron</i>. Elsevier, 2006. <a href=\"https://doi.org/10.1016/j.neuron.2005.11.036\">https://doi.org/10.1016/j.neuron.2005.11.036</a>.","mla":"Vida, Imre, et al. “Shunting Inhibition Improves Robustness of Gamma Oscillations in Hippocampal Interneuron Networks by Homogenizing Firing Rates.” <i>Neuron</i>, vol. 49, no. 1, Elsevier, 2006, pp. 107–17, doi:<a href=\"https://doi.org/10.1016/j.neuron.2005.11.036\">10.1016/j.neuron.2005.11.036</a>.","apa":"Vida, I., Bartos, M., &#38; Jonas, P. M. (2006). Shunting inhibition improves robustness of gamma oscillations in hippocampal interneuron networks by homogenizing firing rates. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2005.11.036\">https://doi.org/10.1016/j.neuron.2005.11.036</a>"},"date_created":"2018-12-11T12:05:18Z"},{"intvolume":"        49","language":[{"iso":"eng"}],"status":"public","publication_identifier":{"eissn":["1097-4199"],"issn":["0896-6273"]},"pmid":1,"publication":"Neuron","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","external_id":{"pmid":["16387646"]},"extern":"1","year":"2006","volume":49,"issue":"1","OA_type":"closed access","oa_version":"None","citation":{"short":"J. O’Neill, T. Senior, J.L. Csicsvari, Neuron 49 (2006) 143–155.","ieee":"J. O’Neill, T. Senior, and J. L. Csicsvari, “Place-selective firing of CA1 pyramidal cells during sharp wave/ripple network patterns in exploratory behavior,” <i>Neuron</i>, vol. 49, no. 1. Elsevier, pp. 143–155, 2006.","ista":"O’Neill J, Senior T, Csicsvari JL. 2006. Place-selective firing of CA1 pyramidal cells during sharp wave/ripple network patterns in exploratory behavior. Neuron. 49(1), 143–155.","chicago":"O’Neill, Joseph, Timothy Senior, and Jozsef L Csicsvari. “Place-Selective Firing of CA1 Pyramidal Cells during Sharp Wave/Ripple Network Patterns in Exploratory Behavior.” <i>Neuron</i>. Elsevier, 2006. <a href=\"https://doi.org/10.1016/j.neuron.2005.10.037\">https://doi.org/10.1016/j.neuron.2005.10.037</a>.","apa":"O’Neill, J., Senior, T., &#38; Csicsvari, J. L. (2006). Place-selective firing of CA1 pyramidal cells during sharp wave/ripple network patterns in exploratory behavior. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2005.10.037\">https://doi.org/10.1016/j.neuron.2005.10.037</a>","mla":"O’Neill, Joseph, et al. “Place-Selective Firing of CA1 Pyramidal Cells during Sharp Wave/Ripple Network Patterns in Exploratory Behavior.” <i>Neuron</i>, vol. 49, no. 1, Elsevier, 2006, pp. 143–55, doi:<a href=\"https://doi.org/10.1016/j.neuron.2005.10.037\">10.1016/j.neuron.2005.10.037</a>.","ama":"O’Neill J, Senior T, Csicsvari JL. Place-selective firing of CA1 pyramidal cells during sharp wave/ripple network patterns in exploratory behavior. <i>Neuron</i>. 2006;49(1):143-155. doi:<a href=\"https://doi.org/10.1016/j.neuron.2005.10.037\">10.1016/j.neuron.2005.10.037</a>"},"date_created":"2018-12-11T12:03:46Z","date_updated":"2026-08-28T11:15:34Z","month":"01","date_published":"2006-01-05T00:00:00Z","doi":"10.1016/j.neuron.2005.10.037","day":"05","article_processing_charge":"No","fulldoi":"https://doi.org/10.1016/j.neuron.2005.10.037","type":"journal_article","publisher":"Elsevier","title":"Place-selective firing of CA1 pyramidal cells during sharp wave/ripple network patterns in exploratory behavior","abstract":[{"text":"We observed sharp wave/ripples (SWR) during exploration within brief (&lt; 2.4 s) interruptions of or during theta oscillations. CA1 network responses of SWRs occurring during exploration (eSWR) and SWRs detected in waking immobility or sleep were similar. However, neuronal activity during eSWR was location dependent, and eSWR-related firing was stronger inside the place field than outside. The eSPW-related firing increase was stronger than the baseline increase inside compared to outside, suggesting a “supralinear” summation of eSWR and place-selective inputs. Pairs of cells with similar place fields and/or correlated firing during exploration showed stronger coactivation during eSWRs and subsequent sleep-SWRs. Sequential activation of place cells was not required for the reactivation of waking co-firing patterns; cell pairs with symmetrical cross-correlations still showed reactivated waking co-firing patterns during sleep-SWRs. We suggest that place-selective firing during eSWRs facilitates initial associations between cells with similar place fields that enable place-related ensemble patterns to recur during subsequent sleep-SWRs.","lang":"eng"}],"article_type":"original","author":[{"last_name":"O'Neill","first_name":"Joseph","id":"426376DC-F248-11E8-B48F-1D18A9856A87","full_name":"O'Neill, Joseph"},{"full_name":"Senior, Timothy","first_name":"Timothy","last_name":"Senior"},{"orcid":"0000-0002-5193-4036","first_name":"Jozsef L","last_name":"Csicsvari","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","full_name":"Csicsvari, Jozsef L"}],"publist_id":"2863","_id":"3522","page":"143 - 155","publication_status":"published"},{"publist_id":"2400","_id":"3808","author":[{"full_name":"Engel, Dominique","last_name":"Engel","first_name":"Dominique"},{"first_name":"Peter M","last_name":"Jonas","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87"}],"publication_status":"published","page":"405 - 17","article_processing_charge":"No","article_type":"original","publisher":"Elsevier","title":"Presynaptic action potential amplification by voltage-gated Na+ channels in hippocampal mossy fiber boutons","abstract":[{"text":"Action potentials in central neurons are initiated near the axon initial segment, propagate into the axon, and finally invade the presynaptic terminals, where they trigger transmitter release. Voltage-gated Na(+) channels are key determinants of excitability, but Na(+) channel density and properties in axons and presynaptic terminals of cortical neurons have not been examined yet. In hippocampal mossy fiber boutons, which emerge from parent axons en passant, Na(+) channels are very abundant, with an estimated number of approximately 2000 channels per bouton. Presynaptic Na(+) channels show faster inactivation kinetics than somatic channels, suggesting differences between subcellular compartments of the same cell. Computational analysis of action potential propagation in axon-multibouton structures reveals that Na(+) channels in boutons preferentially amplify the presynaptic action potential and enhance Ca(2+) inflow, whereas Na(+) channels in axons control the reliability and speed of propagation. Thus, presynaptic and axonal Na(+) channels contribute differentially to mossy fiber synaptic transmission.","lang":"eng"}],"fulldoi":"https://doi.org/10.1016/j.neuron.2004.12.048 ","type":"journal_article","citation":{"ista":"Engel D, Jonas PM. 2005. Presynaptic action potential amplification by voltage-gated Na+ channels in hippocampal mossy fiber boutons. Neuron. 45(3), 405–17.","ieee":"D. Engel and P. M. Jonas, “Presynaptic action potential amplification by voltage-gated Na+ channels in hippocampal mossy fiber boutons,” <i>Neuron</i>, vol. 45, no. 3. Elsevier, pp. 405–17, 2005.","short":"D. Engel, P.M. Jonas, Neuron 45 (2005) 405–17.","ama":"Engel D, Jonas PM. Presynaptic action potential amplification by voltage-gated Na+ channels in hippocampal mossy fiber boutons. <i>Neuron</i>. 2005;45(3):405-417. doi:<a href=\"https://doi.org/10.1016/j.neuron.2004.12.048 \">10.1016/j.neuron.2004.12.048 </a>","mla":"Engel, Dominique, and Peter M. Jonas. “Presynaptic Action Potential Amplification by Voltage-Gated Na+ Channels in Hippocampal Mossy Fiber Boutons.” <i>Neuron</i>, vol. 45, no. 3, Elsevier, 2005, pp. 405–17, doi:<a href=\"https://doi.org/10.1016/j.neuron.2004.12.048 \">10.1016/j.neuron.2004.12.048 </a>.","apa":"Engel, D., &#38; Jonas, P. M. (2005). Presynaptic action potential amplification by voltage-gated Na+ channels in hippocampal mossy fiber boutons. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2004.12.048 \">https://doi.org/10.1016/j.neuron.2004.12.048 </a>","chicago":"Engel, Dominique, and Peter M Jonas. “Presynaptic Action Potential Amplification by Voltage-Gated Na+ Channels in Hippocampal Mossy Fiber Boutons.” <i>Neuron</i>. Elsevier, 2005. <a href=\"https://doi.org/10.1016/j.neuron.2004.12.048 \">https://doi.org/10.1016/j.neuron.2004.12.048 </a>."},"date_created":"2018-12-11T12:05:17Z","oa_version":"None","issue":"3","volume":45,"OA_type":"free access","doi":"10.1016/j.neuron.2004.12.048 ","day":"01","date_updated":"2026-11-11T11:20:54Z","date_published":"2005-01-01T00:00:00Z","month":"01","language":[{"iso":"eng"}],"intvolume":"        45","publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"status":"public","extern":"1","year":"2005","publication":"Neuron","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","pmid":1,"external_id":{"pmid":["15694327"]}},{"citation":{"ama":"Csicsvari JL, Jamieson B, Wise K, Buzsáki G. Mechanisms of gamma oscillations in the hippocampus of the behaving rat. <i>Neuron</i>. 2003;37(2):311-322. doi:<a href=\"https://doi.org/10.1016/S0896-6273(02)01169-8\">10.1016/S0896-6273(02)01169-8</a>","chicago":"Csicsvari, Jozsef L, Brian Jamieson, Kensall Wise, and György Buzsáki. “Mechanisms of Gamma Oscillations in the Hippocampus of the Behaving Rat.” <i>Neuron</i>. Elsevier, 2003. <a href=\"https://doi.org/10.1016/S0896-6273(02)01169-8\">https://doi.org/10.1016/S0896-6273(02)01169-8</a>.","mla":"Csicsvari, Jozsef L., et al. “Mechanisms of Gamma Oscillations in the Hippocampus of the Behaving Rat.” <i>Neuron</i>, vol. 37, no. 2, Elsevier, 2003, pp. 311–22, doi:<a href=\"https://doi.org/10.1016/S0896-6273(02)01169-8\">10.1016/S0896-6273(02)01169-8</a>.","apa":"Csicsvari, J. L., Jamieson, B., Wise, K., &#38; Buzsáki, G. (2003). Mechanisms of gamma oscillations in the hippocampus of the behaving rat. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/S0896-6273(02)01169-8\">https://doi.org/10.1016/S0896-6273(02)01169-8</a>","ista":"Csicsvari JL, Jamieson B, Wise K, Buzsáki G. 2003. Mechanisms of gamma oscillations in the hippocampus of the behaving rat. Neuron. 37(2), 311–322.","short":"J.L. Csicsvari, B. Jamieson, K. Wise, G. Buzsáki, Neuron 37 (2003) 311–322.","ieee":"J. L. Csicsvari, B. Jamieson, K. Wise, and G. Buzsáki, “Mechanisms of gamma oscillations in the hippocampus of the behaving rat,” <i>Neuron</i>, vol. 37, no. 2. Elsevier, pp. 311–322, 2003."},"main_file_link":[{"url":"https://doi.org/10.1016/S0896-6273(02)01169-8","open_access":"1"}],"date_created":"2018-12-11T12:03:48Z","oa_version":"Published Version","volume":37,"OA_type":"free access","issue":"2","doi":"10.1016/S0896-6273(02)01169-8","day":"01","quality_controlled":"1","oa":1,"date_updated":"2026-05-21T07:50:07Z","date_published":"2003-01-01T00:00:00Z","month":"01","language":[{"iso":"eng"}],"intvolume":"        37","publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"status":"public","extern":"1","year":"2003","publication":"Neuron","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","external_id":{"unknown":["12546825"]},"_id":"3528","publist_id":"2857","author":[{"id":"3FA14672-F248-11E8-B48F-1D18A9856A87","full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036","last_name":"Csicsvari","first_name":"Jozsef L"},{"last_name":"Jamieson","first_name":"Brian","full_name":"Jamieson, Brian"},{"first_name":"Kensall","last_name":"Wise","full_name":"Wise, Kensall"},{"full_name":"Buzsáki, György","first_name":"György","last_name":"Buzsáki"}],"publication_status":"published","page":"311 - 322","article_processing_charge":"No","article_type":"original","publisher":"Elsevier","title":"Mechanisms of gamma oscillations in the hippocampus of the behaving rat","abstract":[{"lang":"eng","text":"Gamma frequency oscillations (30-100 Hz) have been suggested to underlie various cognitive and motor functions. Here, we examine the generation of gamma oscillation currents in the hippocampus, using two-dimensional, 96-site silicon probes. Two gamma generators were identified, one in the dentate gyrus and another in the CA3-CA1 regions. The coupling strength between the two oscillators varied during both theta and nontheta states. Both pyramidal cells and interneurons were phase-locked to gamma waves. Anatomical connectivity, rather than physical distance, determined the coupling strength of the oscillating neurons. CA3 pyramidal neurons discharged CA3 and CA1 interneurons at latencies indicative of monosynaptic connections. Intrahippocampal gamma oscillation emerges in the CA3 recurrent system, which entrains the CA1 region via its interneurons."}],"fulldoi":"https://doi.org/10.1016/S0896-6273(02)01169-8","OA_place":"publisher","type":"journal_article"}]