Unveiling convergent and divergent intrinsic brain network alternations in depressed adolescents engaged in non-suicidal self-injurious behaviors with and without suicidal attempts

Author:

Li Linling1,Liang Zhen1,Li Guohua2,Xu Hong2,Yang Xing2,Liu Xia2,Zhang Xin2,Wang Jianhong2,Zhang Zhiguo3,Zhou Yongjie2

Affiliation:

1. Shenzhen University

2. Shenzhen Kangning Hospital

3. Harbin Institute of Technology

Abstract

Abstract Nonsuicidal self-injury (NSSI) and suicidal attempt (SA) frequently occur during depressed adolescents, but the underlying neurobiological mechanisms are poorly understood. The maturation of network connectivity is a central feature of brain development during adolescence. However, few researchers have investigated the similarities and differences in the intrinsic brain networks between NSSI with NSSI + SA in depressed adolescent populations. We collected self-reported questionnaires and resting-state functional magnetic resonance imaging data from a sample of depressed adolescents, categorized into three groups: clinical control (non-self-harm), NSSI-only, and NSSI + SA based on self-harm history. The alternations of FC patterns were identified through support vector machine-based classification. The alternations of intra-/inter-network FCs among the Control, SalVAtten, Limbic, and Default networks were observed as the convergent alternations between adolescent NSSI with or without a history of SA. Divergent alternations were also observed for depressed adolescents with a history of SA, involving the Limbic, DorsAttn, Visual, and Subcortical networks. The severity of depressive symptoms only showed a significant correlation with altered FCs in Limbic-DorAttn and Limbic-Visual networks, strengthening the fact that these observed alternations of FC could not all be explained by increased depression severity. The observed convergent alternations may explain an underlying neurobiological mechanism pertaining to the continuum of self-destructiveness; the discovery of divergent alternations could help to identify biomarkers that will aid in differentiating those at risk for SA and contribute to the development of neurobiologically informed interventions.

Publisher

Research Square Platform LLC

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