Divergent suicidal symptomatic activations converge on somato-cognitive action network in depression

• Published in: Molecular psychiatry Vol. 29; no. 7; pp. 1980 - 1989
• Main Authors: Li, Jiao, Wang, Dajing, Xia, Jie, Zhang, Chao, Meng, Yao, Xu, Shuo, Chen, Huafu, Liao, Wei
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.07.2024; Nature Publishing Group
• Subjects: 59/36; 692/53/2421; 692/699/476/1414; Behavioral Sciences; Biological Psychology; Disease control; Functional magnetic resonance imaging; Gene expression; Medicine; Medicine & Public Health; Mental depression; Neural networks; Neuroimaging; Neurosciences; Norepinephrine; Pharmacotherapy; Psychiatry; Suicide; Suicides & suicide attempts; Transcriptomics; γ-Aminobutyric acid
• ISSN: 1359-4184; 1476-5578; 1476-5578
• DOI: 10.1038/s41380-024-02450-7

Individuals with depression have the highest lifetime prevalence of suicide attempts (SA) among mental illnesses. Numerous neuroimaging studies have developed biomarkers from task-related neural activation in depressive patients with SA, but the findings are inconsistent. Empowered by the contemporary interconnected view of depression as a neural system disorder, we sought to identify a specific brain circuit utilizing published heterogeneous neural activations. We systematically reviewed all published cognitive and emotional task-related functional MRI studies that investigated differences in the location of neural activations between depressive patients with and without SA. We subsequently mapped an underlying brain circuit functionally connecting to each experimental activation using a large normative connectome database ( n  = 1000). The identified SA-related functional network was compared to the network derived from the disease control group. Finally, we decoded this convergent functional connectivity network using microscale transcriptomic and chemo-architectures, and macroscale psychological processes. We enrolled 11 experimental tasks from eight studies, including depressive patients with SA ( n  = 147) and without SA ( n  = 196). The heterogeneous SA-related neural activations localized to the somato-cognitive action network (SCAN), exhibiting robustness to little perturbations and specificity for depression. Furthermore, the SA-related functional network was colocalized with brain-wide gene expression involved in inflammatory and immunity-related biological processes and aligned with the distribution of the GABA and noradrenaline neurotransmitter systems. The findings demonstrate that the SA-related functional network of depression is predominantly located at the SCAN, which is an essential implication for understanding depressive patients with SA.