Linked patterns of symptoms and cognitive covariation with functional brain controllability in major depressive disorder.
EBioMedicine
; 106: 105255, 2024 Aug.
Article
en En
| MEDLINE
| ID: mdl-39032426
ABSTRACT
BACKGROUND:
Controllability analysis is an approach developed for evaluating the ability of a brain region to modulate function in other regions, which has been found to be altered in major depressive disorder (MDD). Both depressive symptoms and cognitive impairments are prominent features of MDD, but the case-control differences of controllability between MDD and controls can not fully interpret the contribution of both clinical symptoms and cognition to brain controllability and linked patterns among them in MDD.METHODS:
Sparse canonical correlation analysis was used to investigate the associations between resting-state functional brain controllability at the network level and clinical symptoms and cognition in 99 first-episode medication-naïve patients with MDD.FINDINGS:
Average controllability was significantly correlated with clinical features. The average controllability of the dorsal attention network (DAN) and visual network had the highest correlations with clinical variables. Among clinical variables, depressed mood, suicidal ideation and behaviour, impaired work and activities, and gastrointestinal symptoms were significantly negatively associated with average controllability, and reduced cognitive flexibility was associated with reduced average controllability.INTERPRETATION:
These findings highlight the importance of brain regions in modulating activity across brain networks in MDD, given their associations with symptoms and cognitive impairments observed in our study. Disrupted control of brain reconfiguration of DAN and visual network during their state transitions may represent a core brain mechanism for the behavioural impairments observed in MDD.FUNDING:
National Natural Science Foundation of China (82001795 and 82027808), National Key R&D Program (2022YFC2009900), and Sichuan Science and Technology Program (2024NSFSC0653).Palabras clave
Texto completo:
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Base de datos:
MEDLINE
Asunto principal:
Encéfalo
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Cognición
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Trastorno Depresivo Mayor
Límite:
Adult
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
EBioMedicine
Año:
2024
Tipo del documento:
Article