Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in mahor depressive disorder

Includes supplementary materials for the online appendix.

Detalles Bibliográficos
Autores: Escrichs, Anira, Sanz Perl, Yonatan, Fisher, Patrick M., Martínez-Molina, Noelia, G-Guzman, Elvira, Frokjaer, Vibe G., Kringelbach, Morten L., Knudsen, Gitte M., Deco, Gustavo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/70031
Acceso en línea:http://hdl.handle.net/10230/70031
http://dx.doi.org/10.1038/s41380-024-02690-7
Access Level:acceso abierto
Palabra clave:Depressió psíquica -- Tractament
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dc.title.none.fl_str_mv Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in mahor depressive disorder
title Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in mahor depressive disorder
spellingShingle Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in mahor depressive disorder
Escrichs, Anira
Depressió psíquica -- Tractament
title_short Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in mahor depressive disorder
title_full Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in mahor depressive disorder
title_fullStr Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in mahor depressive disorder
title_full_unstemmed Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in mahor depressive disorder
title_sort Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in mahor depressive disorder
dc.creator.none.fl_str_mv Escrichs, Anira
Sanz Perl, Yonatan
Fisher, Patrick M.
Martínez-Molina, Noelia
G-Guzman, Elvira
Frokjaer, Vibe G.
Kringelbach, Morten L.
Knudsen, Gitte M.
Deco, Gustavo
author Escrichs, Anira
author_facet Escrichs, Anira
Sanz Perl, Yonatan
Fisher, Patrick M.
Martínez-Molina, Noelia
G-Guzman, Elvira
Frokjaer, Vibe G.
Kringelbach, Morten L.
Knudsen, Gitte M.
Deco, Gustavo
author_role author
author2 Sanz Perl, Yonatan
Fisher, Patrick M.
Martínez-Molina, Noelia
G-Guzman, Elvira
Frokjaer, Vibe G.
Kringelbach, Morten L.
Knudsen, Gitte M.
Deco, Gustavo
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Depressió psíquica -- Tractament
topic Depressió psíquica -- Tractament
description Includes supplementary materials for the online appendix.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/70031
http://dx.doi.org/10.1038/s41380-024-02690-7
url http://hdl.handle.net/10230/70031
http://dx.doi.org/10.1038/s41380-024-02690-7
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Molecular Psychiatry. 2025;30:1069-79
info:eu-repo/grantAgreement/EC/HE/101058516
info:eu-repo/grantAgreement/EC/HE/101071900
info:eu-repo/grantAgreement/ES/3PE/PID2022-136216NB-I00
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Nature Research
publisher.none.fl_str_mv Nature Research
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in mahor depressive disorderEscrichs, AniraSanz Perl, YonatanFisher, Patrick M.Martínez-Molina, NoeliaG-Guzman, ElviraFrokjaer, Vibe G.Kringelbach, Morten L.Knudsen, Gitte M.Deco, GustavoDepressió psíquica -- TractamentIncludes supplementary materials for the online appendix.Depression is a multifactorial clinical syndrome with a low pharmacological treatment response rate. Therefore, identifying predictors of treatment response capable of providing the basis for future developments of individualized therapies is crucial. Here, we applied model-free and model-based measures of whole-brain turbulent dynamics in resting-state functional magnetic resonance imaging (fMRI) in healthy controls and unmedicated depressed patients. After eight weeks of treatment with selective serotonin reuptake inhibitors (SSRIs), patients were classified as responders and non-responders according to the Hamilton Depression Rating Scale 6 (HAMD6). Using the model-free approach, we found that compared to healthy controls and responder patients, non-responder patients presented disruption of the information transmission across spacetime scales. Furthermore, our results revealed that baseline turbulence level is positively correlated with beneficial pharmacological treatment outcomes. Importantly, our model-free approach enabled prediction of which patients would turn out to be non-responders. Finally, our model-based approach provides mechanistic evidence that non-responder patients are less sensitive to stimulation and, consequently, less prone to respond to treatment. Overall, we demonstrated that different levels of turbulent dynamics are suitable for predicting response to SSRIs treatment in depression.AE was supported by the project eBRAIN-Health—Actionable Multilevel Health Data (id 101058516), funded by EU Horizon Europe and by the Grant PID2022-136216NB-I00, funded by MICIU/AEI/10.13039/501100011033, and “ERDF A way of making Europe”, ERDF, EU. YSP was supported by the project NEurological MEchanismS of Injury, and the project Sleep-like cellular dynamics (NEMESIS) (ref. 101071900) funded by the EU ERC Synergy Horizon Europe. GD was supported by the project NEurological MEchanismS of Injury, and the project Sleep-like cellular dynamics (NEMESIS) (ref. 101071900) funded by the EU ERC Synergy Horizon Europe and and by the Grant PID2022-136216NB-I00, funded by MICIU/AEI/10.13039/501100011033, and “ERDF A way of making Europe”, ERDF, EU. MLK is supported by the Center for Music in the Brain, funded by the Danish National Research Foundation (DNRF117), and Center for Eudaimonia and Human Flourishing at Linacre College funded by the Pettit and Carlsberg Foundations. Data were acquired through the NeuroPharm project (www.neuropharm.eu), funded by grant 4108-00004B from the Innovation Fund Denmark, grant R279-2018-1145 from The Lundbeck Foundation Alliance BrainDrugs, the Research Fund of the Mental Health Services–Capital Region of Denmark, grant R149-A6325 from the Research Council of Rigshospitalet, grant 16-0058 from the AugustinusFoundation, grants from Savværksejer Jeppe Juhl og Hustru Ovita Juhls Mindelegat, and grantsDFF-6120-00038 and DFF-1057-00052B from the Independent Research Fund Denmark.Nature Research202520252025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/70031http://dx.doi.org/10.1038/s41380-024-02690-7reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésMolecular Psychiatry. 2025;30:1069-79info:eu-repo/grantAgreement/EC/HE/101058516info:eu-repo/grantAgreement/EC/HE/101071900info:eu-repo/grantAgreement/ES/3PE/PID2022-136216NB-I00This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/700312026-06-12T07:21:37Z
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