伴或不伴早年不良应激青少年非自杀性自伤的多维评估、疗效预测与机制研究

非自杀性自伤行为（NSSI）影响约20%的青少年，严重危害青少年身心健康，成为当前重大公共卫生问题中的重点和难点领域，对其有效的早期识别与干预已刻不容缓。当前从神经生物学层面对NSSI的发生机制认识仍远远不足，导致缺乏有效的，基于生物学的预警、评估和临床干预手段，也缺乏明确的药物干预靶点。本项目拟从早年不良应激、HPA轴重要调节基因、多模态脑环路和神经心理等多维度，采用课题组近两年以机器学习稀疏表示算法为基础开发的时空双稀疏表示，构建青少年NSSI风险预测和评估模型；深入探究NSSI多维度神经生物学机制；通过临床随访，对上述模型进行验证和评价，筛选预测NSSI疗效的生物学标记，建立基于生物学的青少年NSSI综合干预模式。研究成果可为开展有循证医学基础的个体化精准干预、治疗提供科学依据或研究线索，对我国青少年NSSI精准干预及预后研究有重要的理论和现实指导意义。

Non-suicidal self-injury (NSSI) affects around 20% of adolescents, it is a serious problem to their physical and mental health, and becoming a serious public health problem. Thus, early identify and treatment of NSSI is urgently needed. At present, however, the biological mechanism of NSSI is still far from clear, leading to the lack of effective and biology-based early warning, evaluation and clinical intervention, and lack of clear medicine interment targets. . The proposal intends to explore multidimensional information, including the early adverse stress, methylation level of HPA axis regulatory gene, structure and function of brain neural circuits, psychological characteristics of NSSI. The Dual Temporal and Spatial Sparse Representation will be used, which was developed form the sparse representation algorithm based on online dictionary learning by our group recently, to construct the risk prediction and assessment model, and to explore the multi-dimensional neurobiological mechanism of NSSI. Through clinical follow-up, the above-mentioned models will be verified and evaluated to determine the biomarkers that can predict the efficacy of NSSI, and to establish a comprehensive management and disposal model of adolescent NSSI based on biology..The proposal will provide scientific basis or research clues for carrying out evidence-based individualized intervention and treatment, it will also provide important theoretical and practical reference in the NSSI of adolescents for the future study.