Functional connectomics in depression: insights into therapies.
Trends Cogn Sci
; 27(9): 814-832, 2023 09.
Article
en En
| MEDLINE
| ID: mdl-37286432
ABSTRACT
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.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Conectoma
Límite:
Humans
Idioma:
En
Revista:
Trends Cogn Sci
Asunto de la revista:
PSICOLOGIA
Año:
2023
Tipo del documento:
Article