Functional connectomics in depression: insights into therapies.
antidepressant treatments
connectome
depression
functional magnetic resonance imaging
resting-state networks
therapy-specific network connectivity
Journal
Trends in cognitive sciences
ISSN: 1879-307X
Titre abrégé: Trends Cogn Sci
Pays: England
ID NLM: 9708669
Informations de publication
Date de publication:
09 2023
09 2023
Historique:
received:
29
11
2022
revised:
09
05
2023
accepted:
09
05
2023
pmc-release:
01
09
2024
medline:
11
8
2023
pubmed:
8
6
2023
entrez:
7
6
2023
Statut:
ppublish
Résumé
Depression is a common mental disorder characterized by heterogeneous cognitive and behavioral symptoms. The emerging research paradigm of functional connectomics has provided a quantitative theoretical framework and analytic tools for parsing variations in the organization and function of brain networks in depression. In this review, we first discuss recent progress in depression-associated functional connectome variations. We then discuss treatment-specific brain network outcomes in depression and propose a hypothetical model highlighting the advantages and uniqueness of each treatment in relation to the modulation of specific brain network connectivity and symptoms of depression. Finally, we look to the future promise of combining multiple treatment types in clinical practice, using multisite datasets and multimodal neuroimaging approaches, and identifying biological depression subtypes.
Identifiants
pubmed: 37286432
pii: S1364-6613(23)00123-7
doi: 10.1016/j.tics.2023.05.006
pmc: PMC10476530
mid: NIHMS1903409
pii:
doi:
Types de publication
Journal Article
Review
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
814-832Subventions
Organisme : NIMH NIH HHS
ID : K01 MH121777
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH111886
Pays : United States
Organisme : NIMH NIH HHS
ID : RF1 MH116920
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH109991
Pays : United States
Informations de copyright
Copyright © 2023 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests The authors report no conflicts of interest.
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