Neurotransmission-modulated whole-brain computation captures full task repertoire
An important unsolved problem is how the brain survives in a complex world by performing a rich repertoire of computation on a minimal energy budget. Despite using a seemingly fixed architecture, the brain performs much better than current generations of computers and artificial intelligence. Neurom...
| Autores: | , , , , |
|---|---|
| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2026 |
| País: | España |
| Recursos: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
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| Acesso em linha: | https://hdl.handle.net/10230/73249 http://dx.doi.org/10.1016/j.celrep.2025.116816 |
| Access Level: | acceso abierto |
| Palavra-chave: | Computation Brain dynamics Whole-brain modeling fMRI |
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Neurotransmission-modulated whole-brain computation captures full task repertoireDeco, GustavoSanz Perl, YonatanVohryzek, JakubLuppi, Andrea I.Kringelbach, Morten L.ComputationBrain dynamicsWhole-brain modelingfMRIAn important unsolved problem is how the brain survives in a complex world by performing a rich repertoire of computation on a minimal energy budget. Despite using a seemingly fixed architecture, the brain performs much better than current generations of computers and artificial intelligence. Neuromodulation is updating the effectiveness of signal transmission, giving rise to variable effective connectivity between regions to allow computational richness. Here, we integrate 19 empirical neurotransmitter maps as modulators of the underlying local regional dynamics in a whole-brain model of human brain activity. Our neurotransmission-modulated (NEMO) framework flexibly computes different tasks. For each individual, "brain computability" is defined as the ability to fit all tasks. Brain computability correlates with behavioral performance on individual tasks and with a general behavioral measure of intelligence. Overall, NEMO sculpts brain dynamics in a fixed brain architecture to compute the rich repertoire of tasks required for surviving and thriving.G.D. is supported by grant PID2022-136216NB-I00 funded by MICIU/AEI/10.13039/501100011033 and by 'ERDF A way of making Europe', ERDF, EU, Project Neurological Mechanisms of Injury and Sleep-like Cellular Dynamics (NEMESIS) (ref. 101071900) funded by the EU ERC Synergy Horizon Europe, and an AGAUR research support grant (ref. 2021 SGR 00917) funded by the Department of Research and Universities of the Generalitat of Catalunya. Y.S.P. and J.V. are supported by the project NEMESIS (ref. 101071900) funded by the EU ERC Synergy Horizon Europe. M.L.K. is supported by the Centre for Eudaimonia and Human Flourishing (funded by the Pettit and Carlsberg Foundations) and Center for Music in the Brain (funded by the Danish National Research Foundation, DNRF117). A.I.L. acknowledges support of a Wellcome Early-Career Award (grant no. 226924/Z/23/Z) and St John's College, Cambridge. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Elsevier2026202620262026info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/10230/73249http://dx.doi.org/10.1016/j.celrep.2025.116816https://hdl.handle.net/10230/73249reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésCell reports. 2026 Jan 27;45(1):116816info:eu-repo/grantAgreement/ES/3PE/PID2022-136216NB-I00info:eu-repo/grantAgreement/EC/H2020/101071900© 2025 Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:dnet:recercat____::f183a63062810f4aa8b642229eb8a8bf2026-05-29T05:05:01Z |
| dc.title.none.fl_str_mv |
Neurotransmission-modulated whole-brain computation captures full task repertoire |
| title |
Neurotransmission-modulated whole-brain computation captures full task repertoire |
| spellingShingle |
Neurotransmission-modulated whole-brain computation captures full task repertoire Deco, Gustavo Computation Brain dynamics Whole-brain modeling fMRI |
| title_short |
Neurotransmission-modulated whole-brain computation captures full task repertoire |
| title_full |
Neurotransmission-modulated whole-brain computation captures full task repertoire |
| title_fullStr |
Neurotransmission-modulated whole-brain computation captures full task repertoire |
| title_full_unstemmed |
Neurotransmission-modulated whole-brain computation captures full task repertoire |
| title_sort |
Neurotransmission-modulated whole-brain computation captures full task repertoire |
| dc.creator.none.fl_str_mv |
Deco, Gustavo Sanz Perl, Yonatan Vohryzek, Jakub Luppi, Andrea I. Kringelbach, Morten L. |
| author |
Deco, Gustavo |
| author_facet |
Deco, Gustavo Sanz Perl, Yonatan Vohryzek, Jakub Luppi, Andrea I. Kringelbach, Morten L. |
| author_role |
author |
| author2 |
Sanz Perl, Yonatan Vohryzek, Jakub Luppi, Andrea I. Kringelbach, Morten L. |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
Computation Brain dynamics Whole-brain modeling fMRI |
| topic |
Computation Brain dynamics Whole-brain modeling fMRI |
| description |
An important unsolved problem is how the brain survives in a complex world by performing a rich repertoire of computation on a minimal energy budget. Despite using a seemingly fixed architecture, the brain performs much better than current generations of computers and artificial intelligence. Neuromodulation is updating the effectiveness of signal transmission, giving rise to variable effective connectivity between regions to allow computational richness. Here, we integrate 19 empirical neurotransmitter maps as modulators of the underlying local regional dynamics in a whole-brain model of human brain activity. Our neurotransmission-modulated (NEMO) framework flexibly computes different tasks. For each individual, "brain computability" is defined as the ability to fit all tasks. Brain computability correlates with behavioral performance on individual tasks and with a general behavioral measure of intelligence. Overall, NEMO sculpts brain dynamics in a fixed brain architecture to compute the rich repertoire of tasks required for surviving and thriving. |
| publishDate |
2026 |
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2026 2026 2026 2026 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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https://hdl.handle.net/10230/73249 http://dx.doi.org/10.1016/j.celrep.2025.116816 https://hdl.handle.net/10230/73249 |
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https://hdl.handle.net/10230/73249 http://dx.doi.org/10.1016/j.celrep.2025.116816 |
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Inglés |
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Inglés |
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Cell reports. 2026 Jan 27;45(1):116816 info:eu-repo/grantAgreement/ES/3PE/PID2022-136216NB-I00 info:eu-repo/grantAgreement/EC/H2020/101071900 |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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openAccess |
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application/pdf application/pdf |
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Elsevier |
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Elsevier |
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