Mayer Emeran A, Gupta Arpana, Kilpatrick Lisa A, Hong Jui-Yang
Oppenheimer Center for Neurobiology of Stress at UCLA, Los Angeles, CA USA Departments of Medicine at UCLA Physiology at UCLA and Psychiatry at UCLA, Los Angeles, CA, USA UCLA CURE Digestive Diseases Research Center, Los Angeles, CA, USA Department of Bioengineering at UCLA, Los Angeles, CA, USA.
Pain. 2015 Apr;156 Suppl 1(0 1):S50-S63. doi: 10.1097/j.pain.0000000000000106.
Chronic visceral pain syndromes are important clinical problems with largely unmet medical needs. Based on the common overlap with other chronic disorders of visceral or somatic pain, mood and affect, and their responsiveness to centrally targeted treatments, an important role of central nervous system in their pathophysiology is likely. A growing number of brain imaging studies in irritable bowel syndrome, functional dyspepsia, and bladder pain syndrome/interstitial cystitis has identified abnormalities in evoked brain responses, resting state activity, and connectivity, as well as in gray and white matter properties. Structural and functional alterations in brain regions of the salience, emotional arousal, and sensorimotor networks, as well as in prefrontal regions, are the most consistently reported findings. Some of these changes show moderate correlations with behavioral and clinical measures. Most recently, data-driven machine-learning approaches to larger data sets have been able to classify visceral pain syndromes from healthy control subjects. Future studies need to identify the mechanisms underlying the altered brain signatures of chronic visceral pain and identify targets for therapeutic interventions.
慢性内脏疼痛综合征是重要的临床问题,其医疗需求在很大程度上未得到满足。基于与其他慢性内脏或躯体疼痛、情绪和情感障碍的常见重叠,以及它们对中枢靶向治疗的反应性,中枢神经系统在其病理生理学中可能起着重要作用。越来越多针对肠易激综合征、功能性消化不良和膀胱疼痛综合征/间质性膀胱炎的脑成像研究已经确定了诱发脑反应、静息态活动和连通性以及灰质和白质特性方面的异常。在突显、情绪唤醒和感觉运动网络以及前额叶区域的脑区中,结构和功能改变是最一致的报告发现。其中一些变化与行为和临床指标显示出中等程度的相关性。最近,针对更大数据集的数据驱动机器学习方法已经能够将内脏疼痛综合征与健康对照受试者区分开来。未来的研究需要确定慢性内脏疼痛脑特征改变的潜在机制,并确定治疗干预的靶点。