Mehmood Anam, Xu Shuyue, Mehmood Siddiqi Sultan, Zhang Li, Huang Gan, Zhou Yongjie, Liang Zhen
School of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, China.
Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen, China.
Dialogues Clin Neurosci. 2025 Dec;27(1):265-275. doi: 10.1080/19585969.2025.2550953. Epub 2025 Aug 31.
BACKGROUND: Non suicidal self injury (NSSI) is a public health concern, and its prevalence has increased significantly following the COVID-19 pandemic. Despite its rising incidence, the neurobiological mechanisms underlying NSSI behaviour in adolescents remain poorly understood. METHODS: A sample of 89 adolescents (46 NSSI positive, 43 NSSI negative) aged 15.39 ± 1.77 years was recruited from clinical settings. NSSI behaviour and psychological resilience were evaluated. Resting-state functional magnetic resonance imaging (Rs-fMRI) was conducted to examine brain connectivity patterns. Data analysis incorporated descriptive and inferential statistics, as well as support vector machine algorithms, to identify the neural correlates of NSSI and resilience. RESULTS: The NSSI positive group had significantly lower resilience scores ( = 23.41, = 7.95). Connectivity between the sensorimotor and limbic networks was negatively associated with NSSI ( = -0.222, < 0.05), while connectivity between the sensorimotor and subcortical networks showed a positive association ( = 0.201, < 0.05). Stronger connectivity between dorsal attention and default mode networks indirectly reduced NSSI by enhancing psychological resilience, highlighting resilience as a critical protective factor. CONCLUSION: These findings underscore the importance of targeting specific brain connectivity patterns and enhancing psychological resilience as crucial components of neurobiologically informed interventions.
背景:非自杀性自伤(NSSI)是一个公共卫生问题,在新冠疫情之后其患病率显著上升。尽管其发病率不断上升,但青少年NSSI行为背后的神经生物学机制仍知之甚少。 方法:从临床环境中招募了89名年龄在15.39±1.77岁的青少年样本(46名NSSI阳性,43名NSSI阴性)。评估了NSSI行为和心理复原力。进行静息态功能磁共振成像(Rs-fMRI)以检查脑连接模式。数据分析纳入了描述性和推断性统计以及支持向量机算法,以确定NSSI和复原力的神经关联。 结果:NSSI阳性组的复原力得分显著更低(=23.41,=7.95)。感觉运动网络和边缘系统网络之间的连接与NSSI呈负相关(=-0.222,<0.05),而感觉运动网络和皮质下网络之间的连接呈正相关(=0.201,<0.05)。背侧注意网络和默认模式网络之间更强的连接通过增强心理复原力间接减少了NSSI,突出了复原力作为关键保护因素的作用。 结论:这些发现强调了针对特定脑连接模式和增强心理复原力作为基于神经生物学的干预措施的关键组成部分的重要性。
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