Research output: Contribution to journal › Article › peer-review
Altered effective connectivity in sensorimotor cortices is a signature of severity and clinical course in depression. / Ray, Dipanjan; Bezmaternykh, Dmitry; Mel’nikov, Mikhail et al.
In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 118, No. 40, e2105730118, 05.10.2021.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Altered effective connectivity in sensorimotor cortices is a signature of severity and clinical course in depression
AU - Ray, Dipanjan
AU - Bezmaternykh, Dmitry
AU - Mel’nikov, Mikhail
AU - Friston, Karl J.
AU - Das, Moumita
N1 - Funding Information: ACKNOWLEDGMENTS. We thank Prof. Mark Shtark who supervised the data collection and Dr. Andrey Savelov who conducted MRI and fMRI acquisition. This research was supported by the Basque Government through the Basque Excellence Research Centres 2018-2 021 program; the Spanish Ministry of Science, Innovation, and Universities (Basque Center on Cognition, Brain and Language Severo Ochoa excellence accreditation SEV-2015-0 490 and Basque Center of Applied Mathematics (BCAM) Severo Ochoa accreditation SEV-2017-0 718); and project MTM2017-82 379-R (Agencia Estatal de Inves-tigación/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 088 130/Z/09/Z). For the purpose of Open Access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission. Publisher Copyright: © 2021 National Academy of Sciences. All rights reserved.
PY - 2021/10/5
Y1 - 2021/10/5
N2 - 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 resting-state 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 between-subject 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.
AB - 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 resting-state 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 between-subject 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.
KW - Depression
KW - Effective connectivity
KW - Embodiment
KW - Predictive processes
KW - Spectral DCM
UR - http://www.scopus.com/inward/record.url?scp=85116340639&partnerID=8YFLogxK
U2 - 10.1073/pnas.2105730118
DO - 10.1073/pnas.2105730118
M3 - Article
C2 - 34593640
AN - SCOPUS:85116340639
VL - 118
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
SN - 0027-8424
IS - 40
M1 - e2105730118
ER -
ID: 34401350