中枢介导的腹痛综合征，即功能性腹痛综合征，是指缺乏器质性疾病基础且与肠道功能无关的持续性或频发的腹部疼痛。除持续的腹痛困扰外，患者常同时伴随其他躯体不适及精神心理问题，生活质量和社会功能常受到显著影响。但是其中枢参与的病理机制迄今只能借鉴对伴腹痛症状的其它功能性胃肠病研究结果进行推测，即持续的腹痛可能与不同神经元系统间相互作用的紊乱有关。然而，由于CAPS中消化道来源的时相性、生理性内脏传入的作用明显较小，其中枢结构和功能损伤的方式尚未可知。因此，本课题拟基于大脑多模态磁共振数据和复杂网络分析方法探索CAPS全脑大尺度结构和功能网络连接损伤特征，及其受应激相关情绪激活任务驱动后脑功能网络的拓扑模式的变化，和与临床症状和精神心理特征的相关性。这对阐明CAPS这一功能性疾病的病理机制、提供客观神经影像学标记物、也促使未来更深入地理解人脑结构和功能网络及其相互关联具有重要意义。

Centrally meditated abdominal pain syndrome (CAPS), formerly named as functional abdominal pain syndrome, is characterized by continuous or frequently recurrent abdominal pain that cannot be explained by a structural or metabolic disease, and is relative independent from motility disturbances. Patients with FAPS were severely troubled by the persistent abdominal pain, as well as other functional somatic symptoms and psychological distress, which leaded to significant adverse impact on their quality of life and social function. However, so far, the centrally mediated pathological mechanisms can only be inferred from the findings of other functional gastrointestinal disorders with abdominal pain. That is the persistent abdominal pain may be related to the dysfunctional interactions between different neuronal systems. Nevertheless, since the impact of the imminent and physiological visceral afferent input from the digestive tract was remarkably small in CAPS, the brain structural and functional network disturbance was unclear. Therefore, this project is planned to explore the characteristics of the whole brain large-scale structural and functional network connectivity, the changes of the topological model of the brain functional network caused by the stress-related emotional activation task, and their correlations with clinical symptoms and psychological characteristics based on the data from the multimodal magnetic resonance imaging and complex network analysis. This is meaningful for illustrating the pathological mechanisms of CAPS, providing objective neuroimaging markers for this functional disorder, and promoting a deeper understanding of the structural and functional network of human brain and their relationship in the future.