---
OA_place: publisher
OA_type: hybrid
_id: '19076'
abstract:
- lang: eng
text: For accurate perception and motor control, an animal must distinguish between
sensory experiences elicited by external stimuli and those elicited by its own
actions. The diversity of behaviors and their complex influences on the senses
make this distinction challenging. Here, we uncover an action–cue hub that coordinates
motor commands with visual processing in the brain’s first visual relay. We show
that the ventral lateral geniculate nucleus (vLGN) acts as a corollary discharge
center, integrating visual translational optic flow signals with motor copies
from saccades, locomotion and pupil dynamics. The vLGN relays these signals to
correct action-specific visual distortions and to refine perception, as shown
for the superior colliculus and in a depth-estimation task. Simultaneously, brain-wide
vLGN projections drive corrective actions necessary for accurate visuomotor control.
Our results reveal an extended corollary discharge architecture that refines early
visual transformations and coordinates actions via a distributed hub-and-spoke
network to enable visual perception during action.
acknowledged_ssus:
- _id: ScienComp
- _id: PreCl
- _id: LifeSc
- _id: Bio
acknowledgement: We thank Y. Ben-Simon for generously making viral vectors for retrograde
tracing available, as well as J. Watson and F. Marr for reagents. We also thank
R. Shigemoto, W. Młynarski and members of the Neuroethology group for their comments
on the manuscript and L. Burnett for her schematic drawings. This research was supported
by the Scientific Service Units of ISTA through resources provided by Scientific
Computing, the Preclinical Facility, the Lab Support Facility and the Imaging and
Optics Facility, in particular F. Lange, M. Schunn and T. Asenov. This work was
supported by European Research Council Starting Grant no. 756502 (M.J.) and European
Research Council Consolidator Grant no. 101086580 (M.J.); and EMBO ALTF grant no.
1098-2017 (A.S.) and Human Frontiers Science Program grant no. LT000256/2018-L (A.S.).
Open access funding provided by Institute of Science and Technology (IST Austria).
article_number: '7278'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Tomas A
full_name: Vega Zuniga, Tomas A
id: 2E7C4E78-F248-11E8-B48F-1D18A9856A87
last_name: Vega Zuniga
- first_name: Anton L
full_name: Sumser, Anton L
id: 3320A096-F248-11E8-B48F-1D18A9856A87
last_name: Sumser
orcid: 0000-0002-4792-1881
- first_name: Olga
full_name: Symonova, Olga
id: 3C0C7BC6-F248-11E8-B48F-1D18A9856A87
last_name: Symonova
orcid: 0000-0003-2012-9947
- first_name: Peter
full_name: Koppensteiner, Peter
id: 3B8B25A8-F248-11E8-B48F-1D18A9856A87
last_name: Koppensteiner
orcid: 0000-0002-3509-1948
- first_name: Florian
full_name: Schmidt, Florian
id: A2EF226A-AF19-11E9-924C-0525E6697425
last_name: Schmidt
- first_name: Maximilian A
full_name: Jösch, Maximilian A
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
citation:
ama: Vega Zuniga TA, Sumser AL, Symonova O, Koppensteiner P, Schmidt F, Jösch MA.
A thalamic hub-and-spoke network enables visual perception during action by coordinating
visuomotor dynamics. Nature Neuroscience. 2025;28. doi:10.1038/s41593-025-01874-w
apa: Vega Zuniga, T. A., Sumser, A. L., Symonova, O., Koppensteiner, P., Schmidt,
F., & Jösch, M. A. (2025). A thalamic hub-and-spoke network enables visual
perception during action by coordinating visuomotor dynamics. Nature Neuroscience.
Springer Nature. https://doi.org/10.1038/s41593-025-01874-w
chicago: Vega Zuniga, Tomas A, Anton L Sumser, Olga Symonova, Peter Koppensteiner,
Florian Schmidt, and Maximilian A Jösch. “A Thalamic Hub-and-Spoke Network Enables
Visual Perception during Action by Coordinating Visuomotor Dynamics.” Nature
Neuroscience. Springer Nature, 2025. https://doi.org/10.1038/s41593-025-01874-w.
ieee: T. A. Vega Zuniga, A. L. Sumser, O. Symonova, P. Koppensteiner, F. Schmidt,
and M. A. Jösch, “A thalamic hub-and-spoke network enables visual perception during
action by coordinating visuomotor dynamics,” Nature Neuroscience, vol.
28. Springer Nature, 2025.
ista: Vega Zuniga TA, Sumser AL, Symonova O, Koppensteiner P, Schmidt F, Jösch MA.
2025. A thalamic hub-and-spoke network enables visual perception during action
by coordinating visuomotor dynamics. Nature Neuroscience. 28, 7278.
mla: Vega Zuniga, Tomas A., et al. “A Thalamic Hub-and-Spoke Network Enables Visual
Perception during Action by Coordinating Visuomotor Dynamics.” Nature Neuroscience,
vol. 28, 7278, Springer Nature, 2025, doi:10.1038/s41593-025-01874-w.
short: T.A. Vega Zuniga, A.L. Sumser, O. Symonova, P. Koppensteiner, F. Schmidt,
M.A. Jösch, Nature Neuroscience 28 (2025).
corr_author: '1'
date_created: 2025-02-23T23:01:58Z
date_published: 2025-03-01T00:00:00Z
date_updated: 2026-06-18T18:12:08Z
day: '01'
ddc:
- '570'
department:
- _id: MaJö
- _id: PreCl
doi: 10.1038/s41593-025-01874-w
ec_funded: 1
external_id:
isi:
- '001416866800001'
pmid:
- '39930095'
has_accepted_license: '1'
intvolume: ' 28'
isi: 1
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
main_file_link:
- open_access: '1'
url: https://doi.org/10.1038/s41593-025-01874-w
month: '03'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 2634E9D2-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '756502'
name: Circuits of Visual Attention
- _id: bdaf81a8-d553-11ed-ba76-c95961984540
grant_number: '101086580'
name: 'Action Selection in the Midbrain: Neuromodulation of Visuomotor Senses'
- _id: 264FEA02-B435-11E9-9278-68D0E5697425
grant_number: ALTF 1098-2017
name: Connecting sensory with motor processing in the superior colliculus
- _id: 266D407A-B435-11E9-9278-68D0E5697425
grant_number: LT000256
name: Neuronal networks of salience and spatial detection in the murine superior
colliculus
publication: Nature Neuroscience
publication_identifier:
eissn:
- 1546-1726
issn:
- 1097-6256
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- description: News on ISTA Website
relation: press_release
url: https://ista.ac.at/en/news/high-tech-video-optimization-in-our-brain/
record:
- id: '18579'
relation: research_data
status: public
scopus_import: '1'
status: public
title: A thalamic hub-and-spoke network enables visual perception during action by
coordinating visuomotor dynamics
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 28
year: '2025'
...
---
_id: '14887'
abstract:
- lang: eng
text: 'Episodic memories are encoded by experience-activated neuronal ensembles
that remain necessary and sufficient for recall. However, the temporal evolution
of memory engrams after initial encoding is unclear. In this study, we employed
computational and experimental approaches to examine how the neural composition
and selectivity of engrams change with memory consolidation. Our spiking neural
network model yielded testable predictions: memories transition from unselective
to selective as neurons drop out of and drop into engrams; inhibitory activity
during recall is essential for memory selectivity; and inhibitory synaptic plasticity
during memory consolidation is critical for engrams to become selective. Using
activity-dependent labeling, longitudinal calcium imaging and a combination of
optogenetic and chemogenetic manipulations in mouse dentate gyrus, we conducted
contextual fear conditioning experiments that supported our model’s predictions.
Our results reveal that memory engrams are dynamic and that changes in engram
composition mediated by inhibitory plasticity are crucial for the emergence of
memory selectivity.'
acknowledgement: We thank S. Erisken from Inscopix for helping us establish in vivo
one-photon calcium imaging for this work. We thank K. Su at Tsinghua University
for assistance with this work. This work was funded by the President’s PhD Scholarship
from Imperial College London (D.F.T.), the Wellcome Trust (225412/Z/22/Z) (S.S.),
the Biotechnology and Biological Sciences Research Council (BB/N013956/1 and BB/N019008/1)
(C.C.), the Wellcome Trust (200790/Z/16/Z) (C.C.), the Simons Foundation (564408)
(C.C.) and the Engineering and Physical Sciences Research Council (EP/R035806/1)
(CC). The School of Life Sciences and the IDG/McGovern Institute for Brain Research
supported Y.Z. The Warren Alpert Distinguished Scholar Award and National Institutes
of Health 1K99NS125131-01 supported D.S.R.
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Douglas
full_name: Feitosa Tomé, Douglas
id: 0eed2d40-3d48-11ec-8d38-f789cc2e40b2
last_name: Feitosa Tomé
- first_name: Ying
full_name: Zhang, Ying
last_name: Zhang
- first_name: Tomomi
full_name: Aida, Tomomi
last_name: Aida
- first_name: Olivia
full_name: Mosto, Olivia
last_name: Mosto
- first_name: Yifeng
full_name: Lu, Yifeng
last_name: Lu
- first_name: Mandy
full_name: Chen, Mandy
last_name: Chen
- first_name: Sadra
full_name: Sadeh, Sadra
last_name: Sadeh
- first_name: Dheeraj S.
full_name: Roy, Dheeraj S.
last_name: Roy
- first_name: Claudia
full_name: Clopath, Claudia
last_name: Clopath
citation:
ama: Feitosa Tomé D, Zhang Y, Aida T, et al. Dynamic and selective engrams emerge
with memory consolidation. Nature Neuroscience. 2024;27:561-572. doi:10.1038/s41593-023-01551-w
apa: Feitosa Tomé, D., Zhang, Y., Aida, T., Mosto, O., Lu, Y., Chen, M., … Clopath,
C. (2024). Dynamic and selective engrams emerge with memory consolidation. Nature
Neuroscience. Springer Nature. https://doi.org/10.1038/s41593-023-01551-w
chicago: Feitosa Tomé, Douglas, Ying Zhang, Tomomi Aida, Olivia Mosto, Yifeng Lu,
Mandy Chen, Sadra Sadeh, Dheeraj S. Roy, and Claudia Clopath. “Dynamic and Selective
Engrams Emerge with Memory Consolidation.” Nature Neuroscience. Springer
Nature, 2024. https://doi.org/10.1038/s41593-023-01551-w.
ieee: D. Feitosa Tomé et al., “Dynamic and selective engrams emerge with
memory consolidation,” Nature Neuroscience, vol. 27. Springer Nature, pp.
561–572, 2024.
ista: Feitosa Tomé D, Zhang Y, Aida T, Mosto O, Lu Y, Chen M, Sadeh S, Roy DS, Clopath
C. 2024. Dynamic and selective engrams emerge with memory consolidation. Nature
Neuroscience. 27, 561–572.
mla: Feitosa Tomé, Douglas, et al. “Dynamic and Selective Engrams Emerge with Memory
Consolidation.” Nature Neuroscience, vol. 27, Springer Nature, 2024, pp.
561–72, doi:10.1038/s41593-023-01551-w.
short: D. Feitosa Tomé, Y. Zhang, T. Aida, O. Mosto, Y. Lu, M. Chen, S. Sadeh, D.S.
Roy, C. Clopath, Nature Neuroscience 27 (2024) 561–572.
corr_author: '1'
date_created: 2024-01-28T23:01:43Z
date_published: 2024-03-01T00:00:00Z
date_updated: 2025-04-23T07:40:21Z
day: '01'
ddc:
- '570'
department:
- _id: TiVo
doi: 10.1038/s41593-023-01551-w
external_id:
isi:
- '001145442300001'
pmid:
- '38243089'
file:
- access_level: open_access
checksum: c509fcad757e4c1c153e857e55c20083
content_type: application/pdf
creator: dernst
date_created: 2024-07-16T12:15:19Z
date_updated: 2024-07-16T12:15:19Z
file_id: '17268'
file_name: 2024_NatureNeuroscience_FeitosaTome.pdf
file_size: 15830346
relation: main_file
success: 1
file_date_updated: 2024-07-16T12:15:19Z
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month: '03'
oa: 1
oa_version: Published Version
page: 561-572
pmid: 1
publication: Nature Neuroscience
publication_identifier:
eissn:
- 1546-1726
issn:
- 1097-6256
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '14892'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Dynamic and selective engrams emerge with memory consolidation
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 27
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '15171'
abstract:
- lang: eng
text: The brain’s functionality is developed and maintained through synaptic plasticity.
As synapses undergo plasticity, they also affect each other. The nature of such
‘co-dependency’ is difficult to disentangle experimentally, because multiple synapses
must be monitored simultaneously. To help understand the experimentally observed
phenomena, we introduce a framework that formalizes synaptic co-dependency between
different connection types. The resulting model explains how inhibition can gate
excitatory plasticity while neighboring excitatory–excitatory interactions determine
the strength of long-term potentiation. Furthermore, we show how the interplay
between excitatory and inhibitory synapses can account for the quick rise and
long-term stability of a variety of synaptic weight profiles, such as orientation
tuning and dendritic clustering of co-active synapses. In recurrent neuronal networks,
co-dependent plasticity produces rich and stable motor cortex-like dynamics with
high input sensitivity. Our results suggest an essential role for the neighborly
synaptic interaction during learning, connecting micro-level physiology with network-wide
phenomena.
acknowledgement: We thank C. Currin, B. Podlaski and the members of the Vogels group
for fruitful discussions. E.J.A. and T.P.V. were supported by a Research Project
Grant from the Leverhulme Trust (RPG-2016-446; TPV), a Sir Henry Dale Fellowship
from the Wellcome Trust and the Royal Society (WT100000; T.P.V.), a Wellcome Trust
Senior Research Fellowship (214316/Z/18/Z; T.P.V.) and a European Research Council
Consolidator Grant (SYNAPSEEK, 819603; T.P.V.). For the purpose of open access,
the authors have applied a CC BY public copyright license to any author accepted
manuscript version arising from this submission. Open access funding provided by
University of Basel.
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Everton J.
full_name: Agnes, Everton J.
last_name: Agnes
- first_name: Tim P
full_name: Vogels, Tim P
id: CB6FF8D2-008F-11EA-8E08-2637E6697425
last_name: Vogels
orcid: 0000-0003-3295-6181
citation:
ama: Agnes EJ, Vogels TP. Co-dependent excitatory and inhibitory plasticity accounts
for quick, stable and long-lasting memories in biological networks. Nature
Neuroscience. 2024;27:964-974. doi:10.1038/s41593-024-01597-4
apa: Agnes, E. J., & Vogels, T. P. (2024). Co-dependent excitatory and inhibitory
plasticity accounts for quick, stable and long-lasting memories in biological
networks. Nature Neuroscience. Springer Nature. https://doi.org/10.1038/s41593-024-01597-4
chicago: Agnes, Everton J., and Tim P Vogels. “Co-Dependent Excitatory and Inhibitory
Plasticity Accounts for Quick, Stable and Long-Lasting Memories in Biological
Networks.” Nature Neuroscience. Springer Nature, 2024. https://doi.org/10.1038/s41593-024-01597-4.
ieee: E. J. Agnes and T. P. Vogels, “Co-dependent excitatory and inhibitory plasticity
accounts for quick, stable and long-lasting memories in biological networks,”
Nature Neuroscience, vol. 27. Springer Nature, pp. 964–974, 2024.
ista: Agnes EJ, Vogels TP. 2024. Co-dependent excitatory and inhibitory plasticity
accounts for quick, stable and long-lasting memories in biological networks. Nature
Neuroscience. 27, 964–974.
mla: Agnes, Everton J., and Tim P. Vogels. “Co-Dependent Excitatory and Inhibitory
Plasticity Accounts for Quick, Stable and Long-Lasting Memories in Biological
Networks.” Nature Neuroscience, vol. 27, Springer Nature, 2024, pp. 964–74,
doi:10.1038/s41593-024-01597-4.
short: E.J. Agnes, T.P. Vogels, Nature Neuroscience 27 (2024) 964–974.
date_created: 2024-03-24T23:01:00Z
date_published: 2024-05-01T00:00:00Z
date_updated: 2025-09-04T13:06:06Z
day: '01'
ddc:
- '570'
department:
- _id: TiVo
doi: 10.1038/s41593-024-01597-4
ec_funded: 1
external_id:
isi:
- '001190081400001'
pmid:
- '38509348 '
file:
- access_level: open_access
checksum: dfca68a24749575b912b3a78a7de4516
content_type: application/pdf
creator: dernst
date_created: 2025-06-25T08:45:32Z
date_updated: 2025-06-25T08:45:32Z
file_id: '19902'
file_name: 2025_NatureNeuroscience_Agnes.pdf
file_size: 10508018
relation: main_file
success: 1
file_date_updated: 2025-06-25T08:45:32Z
has_accepted_license: '1'
intvolume: ' 27'
isi: 1
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: 964-974
pmid: 1
project:
- _id: 0aacfa84-070f-11eb-9043-d7eb2c709234
call_identifier: H2020
grant_number: '819603'
name: Learning the shape of synaptic plasticity rules for neuronal architectures
and function through machine learning.
publication: Nature Neuroscience
publication_identifier:
eissn:
- 1546-1726
issn:
- 1097-6256
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Co-dependent excitatory and inhibitory plasticity accounts for quick, stable
and long-lasting memories in biological networks
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 27
year: '2024'
...
---
_id: '12349'
abstract:
- lang: eng
text: Statistics of natural scenes are not uniform - their structure varies dramatically
from ground to sky. It remains unknown whether these non-uniformities are reflected
in the large-scale organization of the early visual system and what benefits such
adaptations would confer. Here, by relying on the efficient coding hypothesis,
we predict that changes in the structure of receptive fields across visual space
increase the efficiency of sensory coding. We show experimentally that, in agreement
with our predictions, receptive fields of retinal ganglion cells change their
shape along the dorsoventral retinal axis, with a marked surround asymmetry at
the visual horizon. Our work demonstrates that, according to principles of efficient
coding, the panoramic structure of natural scenes is exploited by the retina across
space and cell-types.
acknowledged_ssus:
- _id: ScienComp
- _id: PreCl
- _id: LifeSc
- _id: Bio
acknowledgement: We thank Hiroki Asari for sharing the dataset of naturalistic images,
Anton Sumser for sharing visual stimulus code, Yoav Ben Simon for initial explorative
work with the generation of AAVs, and Tomas Vega-Zuñiga for help with immunostainings.
We also thank Gasper Tkacik and members of the Neuroethology group for their comments
on the manuscript. This research was supported by the Scientific Service Units of
IST Austria through resources provided by Scientific Computing, the Preclinical
Facility, the Lab Support Facility, and the Imaging and Optics Facility. This work
was supported by European Union Horizon 2020 Marie Skłodowska-Curie grant 665385
(DG), Austrian Science Fund (FWF) stand-alone grant P 34015 (WM), Human Frontiers
Science Program LT000256/2018-L (AS), EMBO ALTF 1098-2017 (AS) and the European
Research Council Starting Grant 756502 (MJ).
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Divyansh
full_name: Gupta, Divyansh
id: 2A485EBE-F248-11E8-B48F-1D18A9856A87
last_name: Gupta
orcid: 0000-0001-7400-6665
- first_name: Wiktor F
full_name: Mlynarski, Wiktor F
id: 358A453A-F248-11E8-B48F-1D18A9856A87
last_name: Mlynarski
- first_name: Anton L
full_name: Sumser, Anton L
id: 3320A096-F248-11E8-B48F-1D18A9856A87
last_name: Sumser
orcid: 0000-0002-4792-1881
- first_name: Olga
full_name: Symonova, Olga
id: 3C0C7BC6-F248-11E8-B48F-1D18A9856A87
last_name: Symonova
orcid: 0000-0003-2012-9947
- first_name: Jan
full_name: Svaton, Jan
id: f7f724c3-9d6f-11ed-9f44-e5c5f3a5bee2
last_name: Svaton
orcid: 0000-0002-6198-2939
- first_name: Maximilian A
full_name: Jösch, Maximilian A
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
citation:
ama: Gupta D, Mlynarski WF, Sumser AL, Symonova O, Svaton J, Jösch MA. Panoramic
visual statistics shape retina-wide organization of receptive fields. Nature
Neuroscience. 2023;26:606-614. doi:10.1038/s41593-023-01280-0
apa: Gupta, D., Mlynarski, W. F., Sumser, A. L., Symonova, O., Svaton, J., &
Jösch, M. A. (2023). Panoramic visual statistics shape retina-wide organization
of receptive fields. Nature Neuroscience. Springer Nature. https://doi.org/10.1038/s41593-023-01280-0
chicago: Gupta, Divyansh, Wiktor F Mlynarski, Anton L Sumser, Olga Symonova, Jan
Svaton, and Maximilian A Jösch. “Panoramic Visual Statistics Shape Retina-Wide
Organization of Receptive Fields.” Nature Neuroscience. Springer Nature,
2023. https://doi.org/10.1038/s41593-023-01280-0.
ieee: D. Gupta, W. F. Mlynarski, A. L. Sumser, O. Symonova, J. Svaton, and M. A.
Jösch, “Panoramic visual statistics shape retina-wide organization of receptive
fields,” Nature Neuroscience, vol. 26. Springer Nature, pp. 606–614, 2023.
ista: Gupta D, Mlynarski WF, Sumser AL, Symonova O, Svaton J, Jösch MA. 2023. Panoramic
visual statistics shape retina-wide organization of receptive fields. Nature Neuroscience.
26, 606–614.
mla: Gupta, Divyansh, et al. “Panoramic Visual Statistics Shape Retina-Wide Organization
of Receptive Fields.” Nature Neuroscience, vol. 26, Springer Nature, 2023,
pp. 606–14, doi:10.1038/s41593-023-01280-0.
short: D. Gupta, W.F. Mlynarski, A.L. Sumser, O. Symonova, J. Svaton, M.A. Jösch,
Nature Neuroscience 26 (2023) 606–614.
corr_author: '1'
date_created: 2023-01-23T14:14:19Z
date_published: 2023-04-01T00:00:00Z
date_updated: 2026-06-22T22:30:54Z
day: '01'
ddc:
- '570'
department:
- _id: GradSch
- _id: MaJö
doi: 10.1038/s41593-023-01280-0
ec_funded: 1
external_id:
isi:
- '000955258300002'
pmid:
- '36959418'
file:
- access_level: open_access
checksum: a33d91e398e548f34003170e10988368
content_type: application/pdf
creator: dernst
date_created: 2023-10-04T11:40:51Z
date_updated: 2023-10-04T11:40:51Z
file_id: '14395'
file_name: 2023_NatureNeuroscience_Gupta.pdf
file_size: 6144866
relation: main_file
success: 1
file_date_updated: 2023-10-04T11:40:51Z
has_accepted_license: '1'
intvolume: ' 26'
isi: 1
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 606-614
pmid: 1
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
- _id: 626c45b5-2b32-11ec-9570-e509828c1ba6
grant_number: P34015
name: Efficient coding with biophysical realism
- _id: 2634E9D2-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '756502'
name: Circuits of Visual Attention
- _id: 266D407A-B435-11E9-9278-68D0E5697425
grant_number: LT000256
name: Neuronal networks of salience and spatial detection in the murine superior
colliculus
- _id: 264FEA02-B435-11E9-9278-68D0E5697425
grant_number: ALTF 1098-2017
name: Connecting sensory with motor processing in the superior colliculus
publication: Nature Neuroscience
publication_identifier:
eissn:
- 1546-1726
issn:
- 1097-6256
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '12370'
relation: research_data
status: public
- id: '18574'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Panoramic visual statistics shape retina-wide organization of receptive fields
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 26
year: '2023'
...
---
_id: '12244'
abstract:
- lang: eng
text: Environmental cues influence the highly dynamic morphology of microglia. Strategies
to characterize these changes usually involve user-selected morphometric features,
which preclude the identification of a spectrum of context-dependent morphological
phenotypes. Here we develop MorphOMICs, a topological data analysis approach,
which enables semiautomatic mapping of microglial morphology into an atlas of
cue-dependent phenotypes and overcomes feature-selection biases and biological
variability. We extract spatially heterogeneous and sexually dimorphic morphological
phenotypes for seven adult mouse brain regions. This sex-specific phenotype declines
with maturation but increases over the disease trajectories in two neurodegeneration
mouse models, with females showing a faster morphological shift in affected brain
regions. Remarkably, microglia morphologies reflect an adaptation upon repeated
exposure to ketamine anesthesia and do not recover to control morphologies. Finally,
we demonstrate that both long primary processes and short terminal processes provide
distinct insights to morphological phenotypes. MorphOMICs opens a new perspective
to characterize microglial morphology.
acknowledged_ssus:
- _id: PreCl
- _id: Bio
- _id: ScienComp
acknowledgement: We thank the scientific service units at ISTA, in particular M. Schunn’s
team at the preclinical facility, and especially our colony manager S. Haslinger,
for excellent support. We are also grateful to the ISTA Imaging & Optics Facility,
and in particular C. Sommer for helping with the data file conversions. We thank
R. Erhart from the ISTA Scientific Computing Unit for improving the script performance.
We thank M. Maes, B. Nagy, S. Oakeley and M. Benevento and all members of the Siegert
group for constant feedback on the project and on the manuscript. This research
was supported by the European Union Horizon 2020 research and innovation program
under the Marie Skłodowska-Curie Actions program (754411 to R.J.A.C.), and by the
European Research Council (grant no. 715571 to S.S.). L.K. was supported by funding
to the Blue Brain Project, a research center of the École polytechnique fédérale
de Lausanne, from the Swiss government’s ETH Board of the Swiss Federal Institutes
of Technology. L.-H.T. was supported by NIH (grant no. R37NS051874) and by the JPB
Foundation. The funders had no role in study design, data collection and analysis,
decision to publish or preparation of the manuscript.
article_processing_charge: No
article_type: original
author:
- first_name: Gloria
full_name: Colombo, Gloria
id: 3483CF6C-F248-11E8-B48F-1D18A9856A87
last_name: Colombo
orcid: 0000-0001-9434-8902
- first_name: Ryan J
full_name: Cubero, Ryan J
id: 850B2E12-9CD4-11E9-837F-E719E6697425
last_name: Cubero
orcid: 0000-0003-0002-1867
- first_name: Lida
full_name: Kanari, Lida
last_name: Kanari
- first_name: Alessandro
full_name: Venturino, Alessandro
id: 41CB84B2-F248-11E8-B48F-1D18A9856A87
last_name: Venturino
orcid: 0000-0003-2356-9403
- first_name: Rouven
full_name: Schulz, Rouven
id: 4C5E7B96-F248-11E8-B48F-1D18A9856A87
last_name: Schulz
orcid: 0000-0001-5297-733X
- first_name: Martina
full_name: Scolamiero, Martina
last_name: Scolamiero
- first_name: Jens
full_name: Agerberg, Jens
last_name: Agerberg
- first_name: Hansruedi
full_name: Mathys, Hansruedi
last_name: Mathys
- first_name: Li-Huei
full_name: Tsai, Li-Huei
last_name: Tsai
- first_name: Wojciech
full_name: Chachólski, Wojciech
last_name: Chachólski
- first_name: Kathryn
full_name: Hess, Kathryn
last_name: Hess
- first_name: Sandra
full_name: Siegert, Sandra
id: 36ACD32E-F248-11E8-B48F-1D18A9856A87
last_name: Siegert
orcid: 0000-0001-8635-0877
citation:
ama: Colombo G, Cubero RJ, Kanari L, et al. A tool for mapping microglial morphology,
morphOMICs, reveals brain-region and sex-dependent phenotypes. Nature Neuroscience.
2022;25(10):1379-1393. doi:10.1038/s41593-022-01167-6
apa: Colombo, G., Cubero, R. J., Kanari, L., Venturino, A., Schulz, R., Scolamiero,
M., … Siegert, S. (2022). A tool for mapping microglial morphology, morphOMICs,
reveals brain-region and sex-dependent phenotypes. Nature Neuroscience.
Springer Nature. https://doi.org/10.1038/s41593-022-01167-6
chicago: Colombo, Gloria, Ryan J Cubero, Lida Kanari, Alessandro Venturino, Rouven
Schulz, Martina Scolamiero, Jens Agerberg, et al. “A Tool for Mapping Microglial
Morphology, MorphOMICs, Reveals Brain-Region and Sex-Dependent Phenotypes.” Nature
Neuroscience. Springer Nature, 2022. https://doi.org/10.1038/s41593-022-01167-6.
ieee: G. Colombo et al., “A tool for mapping microglial morphology, morphOMICs,
reveals brain-region and sex-dependent phenotypes,” Nature Neuroscience,
vol. 25, no. 10. Springer Nature, pp. 1379–1393, 2022.
ista: Colombo G, Cubero RJ, Kanari L, Venturino A, Schulz R, Scolamiero M, Agerberg
J, Mathys H, Tsai L-H, Chachólski W, Hess K, Siegert S. 2022. A tool for mapping
microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes.
Nature Neuroscience. 25(10), 1379–1393.
mla: Colombo, Gloria, et al. “A Tool for Mapping Microglial Morphology, MorphOMICs,
Reveals Brain-Region and Sex-Dependent Phenotypes.” Nature Neuroscience,
vol. 25, no. 10, Springer Nature, 2022, pp. 1379–93, doi:10.1038/s41593-022-01167-6.
short: G. Colombo, R.J. Cubero, L. Kanari, A. Venturino, R. Schulz, M. Scolamiero,
J. Agerberg, H. Mathys, L.-H. Tsai, W. Chachólski, K. Hess, S. Siegert, Nature
Neuroscience 25 (2022) 1379–1393.
corr_author: '1'
date_created: 2023-01-16T09:53:07Z
date_published: 2022-10-01T00:00:00Z
date_updated: 2026-06-22T22:31:05Z
day: '01'
ddc:
- '570'
department:
- _id: SaSi
doi: 10.1038/s41593-022-01167-6
ec_funded: 1
external_id:
isi:
- '000862214700001'
pmid:
- '36180790'
file:
- access_level: open_access
checksum: 28431146873096f52e0107b534f178c9
content_type: application/pdf
creator: dernst
date_created: 2023-01-30T08:06:56Z
date_updated: 2023-01-30T08:06:56Z
file_id: '12437'
file_name: 2022_NatureNeuroscience_Colombo.pdf
file_size: 23789835
relation: main_file
success: 1
file_date_updated: 2023-01-30T08:06:56Z
has_accepted_license: '1'
intvolume: ' 25'
isi: 1
issue: '10'
keyword:
- General Neuroscience
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 1379-1393
pmid: 1
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
- _id: 25D4A630-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715571'
name: Microglia action towards neuronal circuit formation and function in health
and disease
publication: Nature Neuroscience
publication_identifier:
eissn:
- 1546-1726
issn:
- 1097-6256
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- description: News on ISTA website
relation: press_release
url: https://ista.ac.at/en/news/morphomics-revealing-the-hidden-meaning-of-microglia-shape/
record:
- id: '12378'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: A tool for mapping microglial morphology, morphOMICs, reveals brain-region
and sex-dependent phenotypes
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 25
year: '2022'
...
---
OA_place: publisher
OA_type: green
_id: '6995'
abstract:
- lang: eng
text: Human brain organoids represent a powerful tool for the study of human neurological
diseases particularly those that impact brain growth and structure. However, many
neurological diseases lack obvious anatomical abnormalities, yet significantly
impact neural network functions, raising the question of whether organoids possess
sufficient neural network architecture and complexity to model these conditions.
Here, we explore the network level functions of brain organoids using calcium
sensor imaging and extracellular recording approaches that together reveal the
existence of complex oscillatory network behaviors reminiscent of intact brain
preparations. We further demonstrate strikingly abnormal epileptiform network
activity in organoids derived from a Rett Syndrome patient despite only modest
anatomical differences from isogenically matched controls, and rescue with an
unconventional neuromodulatory drug Pifithrin-α. Together, these findings provide
an essential foundation for the utilization of human brain organoids to study
intact and disordered human brain network formation and illustrate their utility
in therapeutic discovery.
acknowledgement: We thank S. Butler, T. Carmichael and members of the laboratory of
B.G.N. for helpful discussions and comments on the manuscript; N. Vishlaghi and
F. Turcios-Hernandez for technical assistance, and J. Lee, S.-K. Lee, H. Shinagawa
and K. Yoshikawa for valuable reagents. We also thank the UCLA Eli and Edythe Broad
Stem Cell Research Center (BSCRC) and Intellectual and Developmental Disabilities
Research Center microscopy cores for access to imaging facilities. This work was
supported by grants from the California Institute for Regenerative Medicine (CIRM)
(DISC1-08819 to B.G.N.), the National Institute of Health (R01NS089817, R01DA051897
and P50HD103557 to B.G.N.; K08NS119747 to R.A.S.; K99HD096105 to M.W.; R01MH123922,
R01MH121521 and P50HD103557 to M.J.G.; R01GM099134 to K.P.; R01NS103788 to W.E.L.;
R01NS088571 to J.M.P.; R01NS030549 and R01AG050474 to I.M.), and research awards
from the UCLA Jonsson Comprehensive Cancer Center and BSCRC Ablon Scholars Program
(to B.G.N.), the BSCRC Innovation Program (to B.G.N., K.P. and W.E.L.), the UCLA
BSCRC Steffy Brain Aging Research Fund (to B.G.N. and W.E.L.) and the UCLA Clinical
and Translational Science Institute (to B.G.N.), Paul Allen Family Foundation Frontiers
Group (to K.P. and W.E.L.), the March of Dimes Foundation (to W.E.L.) and the Simons
Foundation Autism Research Initiative Bridge to Independence Program (to R.A.S.
and M.J.G.). R.A.S. was also supported by the UCLA/NINDS Translational Neuroscience
Training Grant (R25NS065723), a Research and Training Fellowship from the American
Epilepsy Society, a Taking Flight Award from CURE Epilepsy and a Clinician Scientist
training award from the UCLA BSCRC. J.E.B. was supported by the UCLA BSCRC Rose
Hills Foundation Graduate Scholarship Training Program. M.W. was supported by postdoctoral
training awards provided by the UCLA BSCRC and the Uehara Memorial Foundation. O.A.M.
and A.K. were supported in part by the UCLA-California State University Northridge
CIRM-Bridges training program (EDUC2-08411). We also acknowledge the support of
the IDDRC Cells, Circuits and Systems Analysis, Microscopy and Genetics and Genomics
Cores of the Semel Institute of Neuroscience at UCLA, which are supported by the
NICHD (U54HD087101 and P50HD10355701). We lastly acknowledge support from a Quantitative
and Computational Biosciences Collaboratory Postdoctoral Fellowship to S.M. and
the Quantitative and Computational Biosciences Collaboratory community, directed
by M. Pellegrini.
article_processing_charge: No
article_type: review
author:
- first_name: Ranmal A.
full_name: Samarasinghe, Ranmal A.
last_name: Samarasinghe
- first_name: Osvaldo
full_name: Miranda, Osvaldo
id: 862A3C56-A8BF-11E9-B4FA-D9E3E5697425
last_name: Miranda
orcid: 0000-0001-6618-6889
- first_name: Jessie E.
full_name: Buth, Jessie E.
last_name: Buth
- first_name: Simon
full_name: Mitchell, Simon
last_name: Mitchell
- first_name: Isabella
full_name: Ferando, Isabella
last_name: Ferando
- first_name: Momoko
full_name: Watanabe, Momoko
last_name: Watanabe
- first_name: Arinnae
full_name: Kurdian, Arinnae
last_name: Kurdian
- first_name: Peyman
full_name: Golshani, Peyman
last_name: Golshani
- first_name: Kathrin
full_name: Plath, Kathrin
last_name: Plath
- first_name: William E.
full_name: Lowry, William E.
last_name: Lowry
- first_name: Jack M.
full_name: Parent, Jack M.
last_name: Parent
- first_name: Istvan
full_name: Mody, Istvan
last_name: Mody
- first_name: Bennett G.
full_name: Novitch, Bennett G.
last_name: Novitch
citation:
ama: Samarasinghe RA, Miranda O, Buth JE, et al. Identification of neural oscillations
and epileptiform changes in human brain organoids. Nature Neuroscience.
2021;24:32. doi:10.1038/s41593-021-00906-5
apa: Samarasinghe, R. A., Miranda, O., Buth, J. E., Mitchell, S., Ferando, I., Watanabe,
M., … Novitch, B. G. (2021). Identification of neural oscillations and epileptiform
changes in human brain organoids. Nature Neuroscience. Springer Nature.
https://doi.org/10.1038/s41593-021-00906-5
chicago: Samarasinghe, Ranmal A., Osvaldo Miranda, Jessie E. Buth, Simon Mitchell,
Isabella Ferando, Momoko Watanabe, Arinnae Kurdian, et al. “Identification of
Neural Oscillations and Epileptiform Changes in Human Brain Organoids.” Nature
Neuroscience. Springer Nature, 2021. https://doi.org/10.1038/s41593-021-00906-5.
ieee: R. A. Samarasinghe et al., “Identification of neural oscillations and
epileptiform changes in human brain organoids,” Nature Neuroscience, vol.
24. Springer Nature, p. 32, 2021.
ista: Samarasinghe RA, Miranda O, Buth JE, Mitchell S, Ferando I, Watanabe M, Kurdian
A, Golshani P, Plath K, Lowry WE, Parent JM, Mody I, Novitch BG. 2021. Identification
of neural oscillations and epileptiform changes in human brain organoids. Nature
Neuroscience. 24, 32.
mla: Samarasinghe, Ranmal A., et al. “Identification of Neural Oscillations and
Epileptiform Changes in Human Brain Organoids.” Nature Neuroscience, vol.
24, Springer Nature, 2021, p. 32, doi:10.1038/s41593-021-00906-5.
short: R.A. Samarasinghe, O. Miranda, J.E. Buth, S. Mitchell, I. Ferando, M. Watanabe,
A. Kurdian, P. Golshani, K. Plath, W.E. Lowry, J.M. Parent, I. Mody, B.G. Novitch,
Nature Neuroscience 24 (2021) 32.
date_created: 2019-11-10T11:23:58Z
date_published: 2021-08-23T00:00:00Z
date_updated: 2025-07-09T09:00:12Z
day: '23'
department:
- _id: GradSch
- _id: SiHi
doi: 10.1038/s41593-021-00906-5
external_id:
isi:
- '000687516300001'
pmid:
- '34426698 '
intvolume: ' 24'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1101/820183
month: '08'
oa: 1
oa_version: Preprint
page: '32'
pmid: 1
publication: Nature Neuroscience
publication_identifier:
eissn:
- 1546-1726
issn:
- 1097-6256
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Identification of neural oscillations and epileptiform changes in human brain
organoids
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 24
year: '2021'
...
---
_id: '9439'
abstract:
- lang: eng
text: The ability to adapt to changes in stimulus statistics is a hallmark of sensory
systems. Here, we developed a theoretical framework that can account for the dynamics
of adaptation from an information processing perspective. We use this framework
to optimize and analyze adaptive sensory codes, and we show that codes optimized
for stationary environments can suffer from prolonged periods of poor performance
when the environment changes. To mitigate the adversarial effects of these environmental
changes, sensory systems must navigate tradeoffs between the ability to accurately
encode incoming stimuli and the ability to rapidly detect and adapt to changes
in the distribution of these stimuli. We derive families of codes that balance
these objectives, and we demonstrate their close match to experimentally observed
neural dynamics during mean and variance adaptation. Our results provide a unifying
perspective on adaptation across a range of sensory systems, environments, and
sensory tasks.
acknowledgement: We thank D. Kastner and T. Münch for generously providing figures
from their work. We also thank V. Jayaraman, M. Noorman, T. Ma, and K. Krishnamurthy
for useful discussions and feedback on the manuscript. W.F.M. was funded by the
European Union’s Horizon 2020 Research and Innovation Programme under Marie Skłodowska-Curie
Grant Agreement No. 754411. A.M.H. was supported by the Howard Hughes Medical Institute.
article_processing_charge: No
article_type: original
author:
- first_name: Wiktor F
full_name: Mlynarski, Wiktor F
id: 358A453A-F248-11E8-B48F-1D18A9856A87
last_name: Mlynarski
- first_name: Ann M.
full_name: Hermundstad, Ann M.
last_name: Hermundstad
citation:
ama: Mlynarski WF, Hermundstad AM. Efficient and adaptive sensory codes. Nature
Neuroscience. 2021;24:998-1009. doi:10.1038/s41593-021-00846-0
apa: Mlynarski, W. F., & Hermundstad, A. M. (2021). Efficient and adaptive sensory
codes. Nature Neuroscience. Springer Nature. https://doi.org/10.1038/s41593-021-00846-0
chicago: Mlynarski, Wiktor F, and Ann M. Hermundstad. “Efficient and Adaptive Sensory
Codes.” Nature Neuroscience. Springer Nature, 2021. https://doi.org/10.1038/s41593-021-00846-0.
ieee: W. F. Mlynarski and A. M. Hermundstad, “Efficient and adaptive sensory codes,”
Nature Neuroscience, vol. 24. Springer Nature, pp. 998–1009, 2021.
ista: Mlynarski WF, Hermundstad AM. 2021. Efficient and adaptive sensory codes.
Nature Neuroscience. 24, 998–1009.
mla: Mlynarski, Wiktor F., and Ann M. Hermundstad. “Efficient and Adaptive Sensory
Codes.” Nature Neuroscience, vol. 24, Springer Nature, 2021, pp. 998–1009,
doi:10.1038/s41593-021-00846-0.
short: W.F. Mlynarski, A.M. Hermundstad, Nature Neuroscience 24 (2021) 998–1009.
date_created: 2021-05-30T22:01:24Z
date_published: 2021-05-20T00:00:00Z
date_updated: 2025-06-12T06:41:38Z
day: '20'
department:
- _id: GaTk
doi: 10.1038/s41593-021-00846-0
ec_funded: 1
external_id:
isi:
- '000652577300003'
pmid:
- '34017131'
intvolume: ' 24'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: 'https://doi.org/10.1101/669200 '
month: '05'
oa: 1
oa_version: Preprint
page: 998-1009
pmid: 1
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Nature Neuroscience
publication_identifier:
eissn:
- 1546-1726
issn:
- 1097-6256
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Efficient and adaptive sensory codes
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 24
year: '2021'
...
---
OA_place: repository
OA_type: green
_id: '19474'
abstract:
- lang: eng
text: The complex behaviors underlying reward seeking and consumption are integral
to organism survival. The hypothalamus and mesolimbic dopamine system are key
mediators of these behaviors, yet regulation of appetitive and consummatory behaviors
outside of these regions is poorly understood. The central nucleus of the amygdala
(CeA) has been implicated in feeding and reward, but the neurons and circuit mechanisms
that positively regulate these behaviors remain unclear. Here, we defined the
neuronal mechanisms by which CeA neurons promote food consumption. Using in vivo
activity manipulations and Ca2+ imaging in mice, we found that GABAergic serotonin
receptor 2a (Htr2a)-expressing CeA neurons modulate food consumption, promote
positive reinforcement and are active in vivo during eating. We demonstrated electrophysiologically,
anatomically and behaviorally that intra-CeA and long-range circuit mechanisms
underlie these behaviors. Finally, we showed that CeAHtr2a neurons receive inputs
from feeding-relevant brain regions. Our results illustrate how defined CeA neural
circuits positively regulate food consumption.
article_processing_charge: No
article_type: original
author:
- first_name: Amelia May Barnett
full_name: Douglass, Amelia May Barnett
id: de5f6fda-80fb-11ef-996f-a8c4ecd8e289
last_name: Douglass
orcid: 0000-0001-5398-6473
- first_name: Hakan
full_name: Kucukdereli, Hakan
last_name: Kucukdereli
- first_name: Marion
full_name: Ponserre, Marion
last_name: Ponserre
- first_name: Milica
full_name: Markovic, Milica
last_name: Markovic
- first_name: Jan
full_name: Gründemann, Jan
last_name: Gründemann
- first_name: Cornelia
full_name: Strobel, Cornelia
last_name: Strobel
- first_name: Pilar L
full_name: Alcala Morales, Pilar L
last_name: Alcala Morales
- first_name: Karl-Klaus
full_name: Conzelmann, Karl-Klaus
last_name: Conzelmann
- first_name: Andreas
full_name: Lüthi, Andreas
last_name: Lüthi
- first_name: Rüdiger
full_name: Klein, Rüdiger
last_name: Klein
citation:
ama: Douglass AM, Kucukdereli H, Ponserre M, et al. Central amygdala circuits modulate
food consumption through a positive-valence mechanism. Nature Neuroscience.
2017;20(10):1384-1394. doi:10.1038/nn.4623
apa: Douglass, A. M., Kucukdereli, H., Ponserre, M., Markovic, M., Gründemann, J.,
Strobel, C., … Klein, R. (2017). Central amygdala circuits modulate food consumption
through a positive-valence mechanism. Nature Neuroscience. Springer Nature.
https://doi.org/10.1038/nn.4623
chicago: Douglass, Amelia M., Hakan Kucukdereli, Marion Ponserre, Milica Markovic,
Jan Gründemann, Cornelia Strobel, Pilar L Alcala Morales, Karl-Klaus Conzelmann,
Andreas Lüthi, and Rüdiger Klein. “Central Amygdala Circuits Modulate Food Consumption
through a Positive-Valence Mechanism.” Nature Neuroscience. Springer Nature,
2017. https://doi.org/10.1038/nn.4623.
ieee: A. M. Douglass et al., “Central amygdala circuits modulate food consumption
through a positive-valence mechanism,” Nature Neuroscience, vol. 20, no.
10. Springer Nature, pp. 1384–1394, 2017.
ista: Douglass AM, Kucukdereli H, Ponserre M, Markovic M, Gründemann J, Strobel
C, Alcala Morales PL, Conzelmann K-K, Lüthi A, Klein R. 2017. Central amygdala
circuits modulate food consumption through a positive-valence mechanism. Nature
Neuroscience. 20(10), 1384–1394.
mla: Douglass, Amelia M., et al. “Central Amygdala Circuits Modulate Food Consumption
through a Positive-Valence Mechanism.” Nature Neuroscience, vol. 20, no.
10, Springer Nature, 2017, pp. 1384–94, doi:10.1038/nn.4623.
short: A.M. Douglass, H. Kucukdereli, M. Ponserre, M. Markovic, J. Gründemann, C.
Strobel, P.L. Alcala Morales, K.-K. Conzelmann, A. Lüthi, R. Klein, Nature Neuroscience
20 (2017) 1384–1394.
date_created: 2025-04-03T12:30:57Z
date_published: 2017-10-01T00:00:00Z
date_updated: 2025-07-10T11:51:42Z
day: '01'
doi: 10.1038/nn.4623
extern: '1'
external_id:
pmid:
- '28825719 '
intvolume: ' 20'
issue: '10'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1101/145375
month: '10'
oa: 1
oa_version: Preprint
page: 1384-1394
pmid: 1
publication: Nature Neuroscience
publication_identifier:
eissn:
- 1546-1726
issn:
- 1097-6256
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Central amygdala circuits modulate food consumption through a positive-valence
mechanism
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 20
year: '2017'
...
---
OA_place: repository
OA_type: green
_id: '1802'
abstract:
- lang: eng
text: Noncoding variants in the human MIR137 gene locus increase schizophrenia risk
with genome-wide significance. However, the functional consequence of these risk
alleles is unknown. Here we examined induced human neurons harboring the minor
alleles of four disease-associated single nucleotide polymorphisms in MIR137.
We observed increased MIR137 levels compared to those in major allele–carrying
cells. microRNA-137 gain of function caused downregulation of the presynaptic
target genes complexin-1 (Cplx1), Nsf and synaptotagmin-1 (Syt1), leading to impaired
vesicle release. In vivo, miR-137 gain of function resulted in changes in synaptic
vesicle pool distribution, impaired induction of mossy fiber long-term potentiation
and deficits in hippocampus-dependent learning and memory. By sequestering endogenous
miR-137, we were able to ameliorate the synaptic phenotypes. Moreover, reinstatement
of Syt1 expression partially restored synaptic plasticity, demonstrating the importance
of Syt1 as a miR-137 target. Our data provide new insight into the mechanism by
which miR-137 dysregulation can impair synaptic plasticity in the hippocampus.
acknowledgement: S.S. was supported by a Human Frontier Science Program (HFSP) long-term
postdoctoral fellowship and a Swiss National Science Foundation fellowship for prospective
researchers. E.J.K. was supported by a Simons Foundation Postdoctoral Fellowship.
A.R. was supported by a NARSAD Young Investigator Award. This work was supported
by a Seed Grant from the Simons Center for the Social Brain and US National Institutes
of Health grant RO1 MH 091115 to L.-H.T.
article_processing_charge: No
article_type: original
author:
- first_name: Sandra
full_name: Siegert, Sandra
id: 36ACD32E-F248-11E8-B48F-1D18A9856A87
last_name: Siegert
orcid: 0000-0001-8635-0877
- first_name: Jinsoo
full_name: Seo, Jinsoo
last_name: Seo
- first_name: Ester
full_name: Kwon, Ester
last_name: Kwon
- first_name: Andrii
full_name: Rudenko, Andrii
last_name: Rudenko
- first_name: Sukhee
full_name: Cho, Sukhee
last_name: Cho
- first_name: Wenyuan
full_name: Wang, Wenyuan
last_name: Wang
- first_name: Zachary
full_name: Flood, Zachary
last_name: Flood
- first_name: Anthony
full_name: Martorell, Anthony
last_name: Martorell
- first_name: Maria
full_name: Ericsson, Maria
last_name: Ericsson
- first_name: Alison
full_name: Mungenast, Alison
last_name: Mungenast
- first_name: Lihuei
full_name: Tsai, Lihuei
last_name: Tsai
citation:
ama: Siegert S, Seo J, Kwon E, et al. The schizophrenia risk gene product miR-137
alters presynaptic plasticity. Nature Neuroscience. 2015;18:1008-1016.
doi:10.1038/nn.4023
apa: Siegert, S., Seo, J., Kwon, E., Rudenko, A., Cho, S., Wang, W., … Tsai, L.
(2015). The schizophrenia risk gene product miR-137 alters presynaptic plasticity.
Nature Neuroscience. Springer Nature. https://doi.org/10.1038/nn.4023
chicago: Siegert, Sandra, Jinsoo Seo, Ester Kwon, Andrii Rudenko, Sukhee Cho, Wenyuan
Wang, Zachary Flood, et al. “The Schizophrenia Risk Gene Product MiR-137 Alters
Presynaptic Plasticity.” Nature Neuroscience. Springer Nature, 2015. https://doi.org/10.1038/nn.4023.
ieee: S. Siegert et al., “The schizophrenia risk gene product miR-137 alters
presynaptic plasticity,” Nature Neuroscience, vol. 18. Springer Nature,
pp. 1008–1016, 2015.
ista: Siegert S, Seo J, Kwon E, Rudenko A, Cho S, Wang W, Flood Z, Martorell A,
Ericsson M, Mungenast A, Tsai L. 2015. The schizophrenia risk gene product miR-137
alters presynaptic plasticity. Nature Neuroscience. 18, 1008–1016.
mla: Siegert, Sandra, et al. “The Schizophrenia Risk Gene Product MiR-137 Alters
Presynaptic Plasticity.” Nature Neuroscience, vol. 18, Springer Nature,
2015, pp. 1008–16, doi:10.1038/nn.4023.
short: S. Siegert, J. Seo, E. Kwon, A. Rudenko, S. Cho, W. Wang, Z. Flood, A. Martorell,
M. Ericsson, A. Mungenast, L. Tsai, Nature Neuroscience 18 (2015) 1008–1016.
date_created: 2018-12-11T11:54:05Z
date_published: 2015-07-01T00:00:00Z
date_updated: 2026-05-18T12:29:48Z
day: '01'
doi: 10.1038/nn.4023
extern: '1'
external_id:
pmid:
- ' 26005852'
intvolume: ' 18'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://pmc.ncbi.nlm.nih.gov/articles/PMC4506960/
month: '07'
oa: 1
oa_version: Accepted Version
page: 1008 - 1016
pmid: 1
publication: Nature Neuroscience
publication_identifier:
eissn:
- 1546-1726
issn:
- 1097-6256
publication_status: published
publisher: Springer Nature
publist_id: '5308'
quality_controlled: '1'
related_material:
link:
- relation: erratum
url: https://doi.org/10.1038/nn0816-1115c
scopus_import: '1'
status: public
title: The schizophrenia risk gene product miR-137 alters presynaptic plasticity
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 18
year: '2015'
...