dc.contributor.author | Ray, Dipanjan | |
dc.contributor.author | Bezmaternykh, Dmitry | |
dc.contributor.author | Mel’nikov, Mikhail | |
dc.contributor.author | Friston, Karl J. | |
dc.contributor.author | Das, Moumita | |
dc.date.accessioned | 2021-10-08T08:23:52Z | |
dc.date.available | 2021-10-08T08:23:52Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Altered effective connectivity in sensorimotor cortices is a signature of severity and clinical course in depression Dipanjan Ray, Dmitry Bezmaternykh, Mikhail Mel’nikov, Karl J. Friston, Moumita Das Proceedings of the National Academy of Sciences Oct 2021, 118 (40) e2105730118; DOI: 10.1073/pnas.2105730118 | es_ES |
dc.identifier.issn | 0027-8424 | |
dc.identifier.uri | http://hdl.handle.net/10810/53282 | |
dc.description | Published September 30, 2021. | es_ES |
dc.description.abstract | Functional neuroimaging research on depression has traditionally
targeted neural networks associated with the psychological
aspects of depression. In this study, instead, we focus on alterations
of sensorimotor function in depression. We used restingstate
functional MRI data and dynamic causal modeling (DCM)
to assess the hypothesis that depression is associated with aberrant
effective connectivity within and between key regions in the
sensorimotor hierarchy. Using hierarchical modeling of betweensubject
effects in DCM with parametric empirical Bayes we first
established the architecture of effective connectivity in sensorimotor
cortices.We found that in (interoceptive and exteroceptive)
sensory cortices across participants, the backward connections are
predominantly inhibitory, whereas the forward connections are
mainly excitatory in nature. In motor cortices these parities were
reversed. With increasing depression severity, these patterns are
depreciated in exteroceptive and motor cortices and augmented
in the interoceptive cortex, an observation that speaks to depressive
symptomatology. We established the robustness of these
results in a leave-one-out cross-validation analysis and by reproducing
the main results in a follow-up dataset. Interestingly, with
(nonpharmacological) treatment, depression-associated changes
in backward and forward effective connectivity partially reverted
to group mean levels. Overall, altered effective connectivity in
sensorimotor cortices emerges as a promising and quantifiable
candidate marker of depression severity and treatment response. | es_ES |
dc.description.sponsorship | This research was supported by the Basque Government through the Basque
Excellence Research Centres 2018-2021 program; the Spanish Ministry of
Science, Innovation, and Universities (Basque Center on Cognition, Brain
and Language Severo Ochoa excellence accreditation SEV-2015-0490 and
Basque Center of Applied Mathematics (BCAM) Severo Ochoa accreditation
SEV-2017-0718); and project MTM2017-82379-R (Agencia Estatal de Investigación/Fondo Europeo de Desarrollo Regional, Unión Europea; principal investigator Dr. Maria Xose Rodriguez, BCAM). Data collection was funded
by Russian Science Foundation Grant 16-15-00 183. K.J.F. was funded by a
Wellcome Trust Principal Research Fellowship (Reference 088130/Z/09/Z) | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | PNAS | es_ES |
dc.relation | info:eu-repo/grantAgreement/GV/BERC2018-2021 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/SEV-2015-0490 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/SEV-2017-0718 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | depression | es_ES |
dc.subject | embodiment | es_ES |
dc.subject | effective connectivity | es_ES |
dc.subject | spectral DCM | es_ES |
dc.subject | predictive processes | es_ES |
dc.title | Altered effective connectivity in sensorimotor cortices is a signature of severity and clinical course in depression | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | Copyright © 2021 the Author(s). Published by PNAS.
This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY). | es_ES |
dc.relation.publisherversion | https://www.pnas.org/ | es_ES |
dc.identifier.doi | 10.1073/pnas.2105730118 | |