--- DOAJ_listed: '1' OA_place: publisher OA_type: gold PlanS_conform: '1' _id: '20662' abstract: - lang: eng text: Task-based functional magnetic resonance imaging (fMRI) reveals individual differences in neural correlates of cognition but faces scalability challenges due to cognitive demands, protocol variability, and limited task coverage in large datasets. Here, we propose DeepTaskGen, a deep-learning approach that synthesizes non-acquired task-based contrast maps from resting-state (rs-) fMRI. We validate this approach using the Human Connectome Project lifespan data, then generate 47 contrast maps from 7 different cognitive tasks for over 20,000 individuals from UK Biobank. DeepTaskGen outperforms several benchmarks in generating synthetic task-contrast maps, achieving superior reconstruction performance while retaining inter-individual variation essential for biomarker development. We further show comparable or superior predictive performance of synthetic maps relative to actual maps and rs-connectomes across diverse demographic, cognitive, and clinical variables. This approach facilitates the study of individual differences and the generation of task-related biomarkers by enabling the generation of arbitrary functional cognitive tasks from readily available rs-fMRI data. acknowledgement: 'Funded by the European Union (Grant agreement No 101057429). Complementary funding was received by UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee (10131373 and 10038599) and the National Key R&D Program of Ministry of Science and Technology of China (MOST 2023YFE0199700). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union, the European Health and Digital Executive Agency (HADEA), UKRI or MOST. Neither the European Union nor HADEA nor UKRI nor MOST can be held responsible for them. This work has also been supported by a Grant from the German Research Foundation to the ENIGMA task-based fMRI Working Group (DFG ER 724/4–1, WA 1539/11–1). Data used in this study were provided in part by the Human Connectome Project, WU-Minn Consortium (principal investigators: D. Van Essen and K. Ugurbil; grant number 1U54MH091657), funded by the 16 National Institutes of Health (NIH) institutes and centers supporting the NIH Blueprint for Neuroscience Research, and by the McDonnell Center for Systems Neuroscience at Washington University. Additionally, this research utilized data obtained from UK Biobank, a large-scale biomedical database. Open Access funding enabled and organized by Projekt DEAL.' article_number: '1572' article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Emin full_name: Serin, Emin last_name: Serin - first_name: Kerstin full_name: Ritter, Kerstin last_name: Ritter - first_name: Gunter full_name: Schumann, Gunter last_name: Schumann - first_name: Tobias full_name: Banaschewski, Tobias last_name: Banaschewski - first_name: Andre full_name: Marquand, Andre last_name: Marquand - first_name: Henrik full_name: Walter, Henrik last_name: Walter - first_name: George full_name: Ogoh, George last_name: Ogoh - first_name: Bernd Carsten full_name: Stahl, Bernd Carsten last_name: Stahl - first_name: Ragnhild full_name: Brandlistuen, Ragnhild last_name: Brandlistuen - first_name: Tamara full_name: Schikowski, Tamara last_name: Schikowski - first_name: Allan H. full_name: Young, Allan H. last_name: Young - first_name: Yu full_name: Xinyang, Yu last_name: Xinyang - first_name: Zuo full_name: Zhang, Zuo last_name: Zhang - first_name: Kofoworola full_name: Agunbiade, Kofoworola last_name: Agunbiade - first_name: Di full_name: Chen, Di last_name: Chen - first_name: Sylvane full_name: Desrivières, Sylvane last_name: Desrivières - first_name: Nicholas full_name: Clinton, Nicholas last_name: Clinton - first_name: Paul full_name: Thompson, Paul last_name: Thompson - first_name: Venessa full_name: Köhler, Venessa last_name: Köhler - first_name: Ameli full_name: Schwalber, Ameli last_name: Schwalber - first_name: Vince D. full_name: Calhoun, Vince D. last_name: Calhoun - first_name: Xiao full_name: Chang, Xiao last_name: Chang - first_name: Yanqing full_name: Zhang, Yanqing last_name: Zhang - first_name: Yuzhu full_name: Li, Yuzhu last_name: Li - first_name: Yuxiang full_name: Dai, Yuxiang last_name: Dai - first_name: Jiacan full_name: Yuan, Jiacan last_name: Yuan - first_name: Yunman full_name: Xia, Yunman last_name: Xia - first_name: Tianye full_name: Jia, Tianye last_name: Jia - first_name: Paul full_name: Renner, Paul last_name: Renner - first_name: Sören full_name: Hese, Sören last_name: Hese - first_name: Bernhard full_name: Spanlang, Bernhard last_name: Spanlang - first_name: Charlie full_name: Pearmund, Charlie last_name: Pearmund - first_name: Anastasios Polykarpos full_name: Athanasiadis, Anastasios Polykarpos last_name: Athanasiadis - first_name: Spase full_name: Petkoski, Spase last_name: Petkoski - first_name: Viktor full_name: Jirsa, Viktor last_name: Jirsa - first_name: Karen full_name: Schmitt, Karen last_name: Schmitt - first_name: Johannes H. full_name: Wilbertz, Johannes H. last_name: Wilbertz - first_name: Myrto full_name: Patraskaki, Myrto last_name: Patraskaki - first_name: Peter full_name: Sommer, Peter last_name: Sommer - first_name: Stefanie full_name: Heilmann-Heimbach, Stefanie last_name: Heilmann-Heimbach - first_name: Carina M. full_name: Mathey, Carina M. last_name: Mathey - first_name: Abigail J. full_name: Miller, Abigail J. last_name: Miller - first_name: Isabelle full_name: Claus, Isabelle last_name: Claus - first_name: Markus M. full_name: Nöthen, Markus M. last_name: Nöthen - first_name: Per full_name: Hoffmann, Per last_name: Hoffmann - first_name: Andreas J. full_name: Forstner, Andreas J. last_name: Forstner - first_name: Alvaro full_name: Pastor, Alvaro last_name: Pastor - first_name: Jaime full_name: Gallego, Jaime last_name: Gallego - first_name: Reiya full_name: Itatani, Reiya last_name: Itatani - first_name: Francisco full_name: Eiroa-Orosa, Francisco last_name: Eiroa-Orosa - first_name: Guillem full_name: Feixas, Guillem last_name: Feixas - first_name: Mel full_name: Slater, Mel last_name: Slater - first_name: Gaia full_name: Novarino, Gaia id: 3E57A680-F248-11E8-B48F-1D18A9856A87 last_name: Novarino orcid: 0000-0002-7673-7178 - first_name: Sarah Jane full_name: Böttger, Sarah Jane last_name: Böttger - first_name: Mira full_name: Tschorn, Mira last_name: Tschorn - first_name: Michael full_name: Rapp, Michael last_name: Rapp - first_name: Helga full_name: Ask, Helga last_name: Ask - first_name: Rikka full_name: Kjelkenes, Rikka last_name: Kjelkenes - first_name: Sara full_name: Fernandez, Sara last_name: Fernandez - first_name: Dennis full_name: Van Der Meer, Dennis last_name: Van Der Meer - first_name: Lars T. full_name: Westlye, Lars T. last_name: Westlye - first_name: Ole A. full_name: Andreassen, Ole A. last_name: Andreassen - first_name: Rieke full_name: Aden, Rieke last_name: Aden - first_name: Beke full_name: Seefried, Beke last_name: Seefried - first_name: Frauke full_name: Nees, Frauke last_name: Nees - first_name: Maja full_name: Neidhart, Maja last_name: Neidhart - first_name: Argyris full_name: Stringaris, Argyris last_name: Stringaris - first_name: Emanuel full_name: Schwarz, Emanuel last_name: Schwarz - first_name: Nathalie full_name: Holz, Nathalie last_name: Holz - first_name: Heike full_name: Tost, Heike last_name: Tost - first_name: Andreas full_name: Meyer-Lindenberg, Andreas last_name: Meyer-Lindenberg - first_name: Nina full_name: Christmann, Nina last_name: Christmann - first_name: Karina full_name: Janson, Karina last_name: Janson - first_name: Kerstin full_name: Schepanski, Kerstin last_name: Schepanski - first_name: Tatjana full_name: Schütz, Tatjana last_name: Schütz - first_name: Ulrike Helene full_name: Taron, Ulrike Helene last_name: Taron - first_name: Roland full_name: Eils, Roland last_name: Eils - first_name: Jean Charles full_name: Roy, Jean Charles last_name: Roy - first_name: Tristram A. full_name: Lett, Tristram A. last_name: Lett - first_name: Hedi full_name: Kebir, Hedi last_name: Kebir - first_name: Elli full_name: Polemiti, Elli last_name: Polemiti - first_name: Esther full_name: Hitchen, Esther last_name: Hitchen - first_name: Marcel full_name: Jentsch, Marcel last_name: Jentsch - first_name: Emin full_name: Serin, Emin last_name: Serin - first_name: Antoine full_name: Bernas, Antoine last_name: Bernas - first_name: Nilakshi full_name: Vaidya, Nilakshi last_name: Vaidya - first_name: Sven full_name: Twardziok, Sven last_name: Twardziok - first_name: Markus full_name: Ralser, Markus last_name: Ralser - first_name: Andreas full_name: Heinz, Andreas last_name: Heinz - first_name: Gunter full_name: Schumann, Gunter last_name: Schumann citation: ama: Serin E, Ritter K, Schumann G, et al. Generating synthetic task-based brain fingerprints for population neuroscience using deep learning. Communications Biology. 2025;8. doi:10.1038/s42003-025-09158-6 apa: Serin, E., Ritter, K., Schumann, G., Banaschewski, T., Marquand, A., Walter, H., … Schumann, G. (2025). Generating synthetic task-based brain fingerprints for population neuroscience using deep learning. Communications Biology. Springer Nature. https://doi.org/10.1038/s42003-025-09158-6 chicago: Serin, Emin, Kerstin Ritter, Gunter Schumann, Tobias Banaschewski, Andre Marquand, Henrik Walter, George Ogoh, et al. “Generating Synthetic Task-Based Brain Fingerprints for Population Neuroscience Using Deep Learning.” Communications Biology. Springer Nature, 2025. https://doi.org/10.1038/s42003-025-09158-6. ieee: E. Serin et al., “Generating synthetic task-based brain fingerprints for population neuroscience using deep learning,” Communications Biology, vol. 8. Springer Nature, 2025. ista: Serin E, Ritter K, Schumann G, Banaschewski T, Marquand A, Walter H, Ogoh G, Stahl BC, Brandlistuen R, Schikowski T, Young AH, Xinyang Y, Zhang Z, Agunbiade K, Chen D, Desrivières S, Clinton N, Thompson P, Köhler V, Schwalber A, Calhoun VD, Chang X, Zhang Y, Li Y, Dai Y, Yuan J, Xia Y, Jia T, Renner P, Hese S, Spanlang B, Pearmund C, Athanasiadis AP, Petkoski S, Jirsa V, Schmitt K, Wilbertz JH, Patraskaki M, Sommer P, Heilmann-Heimbach S, Mathey CM, Miller AJ, Claus I, Nöthen MM, Hoffmann P, Forstner AJ, Pastor A, Gallego J, Itatani R, Eiroa-Orosa F, Feixas G, Slater M, Novarino G, Böttger SJ, Tschorn M, Rapp M, Ask H, Kjelkenes R, Fernandez S, Van Der Meer D, Westlye LT, Andreassen OA, Aden R, Seefried B, Nees F, Neidhart M, Stringaris A, Schwarz E, Holz N, Tost H, Meyer-Lindenberg A, Christmann N, Janson K, Schepanski K, Schütz T, Taron UH, Eils R, Roy JC, Lett TA, Kebir H, Polemiti E, Hitchen E, Jentsch M, Serin E, Bernas A, Vaidya N, Twardziok S, Ralser M, Heinz A, Schumann G. 2025. Generating synthetic task-based brain fingerprints for population neuroscience using deep learning. Communications Biology. 8, 1572. mla: Serin, Emin, et al. “Generating Synthetic Task-Based Brain Fingerprints for Population Neuroscience Using Deep Learning.” Communications Biology, vol. 8, 1572, Springer Nature, 2025, doi:10.1038/s42003-025-09158-6. short: E. Serin, K. Ritter, G. Schumann, T. Banaschewski, A. Marquand, H. Walter, G. Ogoh, B.C. Stahl, R. Brandlistuen, T. Schikowski, A.H. Young, Y. Xinyang, Z. Zhang, K. Agunbiade, D. Chen, S. Desrivières, N. Clinton, P. Thompson, V. Köhler, A. Schwalber, V.D. Calhoun, X. Chang, Y. Zhang, Y. Li, Y. Dai, J. Yuan, Y. Xia, T. Jia, P. Renner, S. Hese, B. Spanlang, C. Pearmund, A.P. Athanasiadis, S. Petkoski, V. Jirsa, K. Schmitt, J.H. Wilbertz, M. Patraskaki, P. Sommer, S. Heilmann-Heimbach, C.M. Mathey, A.J. Miller, I. Claus, M.M. Nöthen, P. Hoffmann, A.J. Forstner, A. Pastor, J. Gallego, R. Itatani, F. Eiroa-Orosa, G. Feixas, M. Slater, G. Novarino, S.J. Böttger, M. Tschorn, M. Rapp, H. Ask, R. Kjelkenes, S. Fernandez, D. Van Der Meer, L.T. Westlye, O.A. Andreassen, R. Aden, B. Seefried, F. Nees, M. Neidhart, A. Stringaris, E. Schwarz, N. Holz, H. Tost, A. Meyer-Lindenberg, N. Christmann, K. Janson, K. Schepanski, T. Schütz, U.H. Taron, R. Eils, J.C. Roy, T.A. Lett, H. Kebir, E. Polemiti, E. Hitchen, M. Jentsch, E. Serin, A. Bernas, N. Vaidya, S. Twardziok, M. Ralser, A. Heinz, G. Schumann, Communications Biology 8 (2025). date_created: 2025-11-23T23:01:38Z date_published: 2025-12-01T00:00:00Z date_updated: 2025-12-01T15:24:07Z day: '01' ddc: - '570' department: - _id: GaNo doi: 10.1038/s42003-025-09158-6 external_id: isi: - '001614464000001' pmid: - '41238730' file: - access_level: open_access checksum: b8b3c1abe7048a09b920082a37e786a5 content_type: application/pdf creator: dernst date_created: 2025-11-24T09:12:19Z date_updated: 2025-11-24T09:12:19Z file_id: '20675' file_name: 2025_CommunicationsBiology_Serin.pdf file_size: 1588155 relation: main_file success: 1 file_date_updated: 2025-11-24T09:12:19Z has_accepted_license: '1' intvolume: ' 8' isi: 1 language: - iso: eng month: '12' oa: 1 oa_version: Published Version pmid: 1 publication: Communications Biology publication_identifier: eissn: - 2399-3642 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: Generating synthetic task-based brain fingerprints for population neuroscience using deep learning 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: 8 year: '2025' ...