Alterations in brain structural covariance networks in adolescent depression with suicide behaviors

Cereb Cortex. 2025 Oct 2;35(10):bhaf282. doi: 10.1093/cercor/bhaf282.

ABSTRACT

Adolescent depression presented higher risk of suicide than adult depression. However, the neurophysiological mechanisms underlying this phenomenon have not been elucidated. We aimed to identify structural covariance network alterations in depressed adolescents with suicidal behaviors to provide novel neuroimaging evidence for this condition. 64 first-episode, treatment-naïve depressed adolescent patients with suicidal behaviors and 48 healthy controls were enrolled. Nonnegative matrix factorization was used to identify the structural covariance networks. The Kullback-Leibler divergence method was applied to estimate the interregional relationships between the altered brain networks. Correlation analyses were conducted between altered brain networks and clinical characteristics. Patients had lower gray matter volumes in the anterior default mode network (DMN), visual network, sensorimotor network, and right executive control network than healthy controls. Morphological connections were altered in the anterior DMN, visual network, and right executive control network in patients. Correlation analyses revealed negative associations between morphological connections in anterior DMN-visual networks and illness duration in the patient group. This study revealed abnormal gray matter attributes in the anterior DMN, visual network, sensorimotor network, and executive control network in first-episode and treatment-naïve adolescent depression with suicide, which might reflect disease traits and provide essential neurobiological evidence for behavioral disturbances in depression.

PMID:41082379 | DOI:10.1093/cercor/bhaf282