Transdiagnostic depression severity and its relationship to global and prefrontal-amygdala structural properties in people with major depression and post-traumatic stress disorder.
Cereb Cortex
; 34(9)2024 Sep 03.
Article
en En
| MEDLINE
| ID: mdl-39315647
ABSTRACT
While some studies have used a transdiagnostic approach to relate depression to metabolic or functional brain alterations, the structural substrate of depression across clinical diagnostic categories is underexplored. In a cross-sectional study of 52 patients with major depressive disorder and 51 with post-traumatic stress disorder, drug-naïve, and spanning mild to severe depression severity, we examined transdiagnostic depressive correlates with regional gray matter volume and the topological properties of gray matter-based networks. Locally, transdiagnostic depression severity correlated positively with gray matter volume in the right middle frontal gyrus and negatively with nodal topological properties of gray matter-based networks in the right amygdala. Globally, transdiagnostic depression severity correlated positively with normalized characteristic path length, a measure implying brain integration ability. Compared with 62 healthy control participants, both major depressive disorder and post-traumatic stress disorder patients showed altered nodal properties in regions of the fronto-limbic-striatal circuit, and global topological organization in major depressive disorder in particular was characterized by decreased integration and segregation. These findings provide evidence for a gray matter-based structural substrate underpinning depression, with the prefrontal-amygdala circuit a potential predictive marker for depressive symptoms across clinical diagnostic categories.
Palabras clave
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Trastornos por Estrés Postraumático
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Imagen por Resonancia Magnética
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Corteza Prefrontal
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Trastorno Depresivo Mayor
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Sustancia Gris
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Amígdala del Cerebelo
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:
Cereb Cortex
Asunto de la revista:
CEREBRO
Año:
2024
Tipo del documento:
Article
País de afiliación:
China