The Clinical Hospital of the Chengdu Brain Science Institute, School of Life Science and Technology, MOE Key Laboratory for Neuroinformation, High-Field Magnetic Resonance Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China.
Neuroradiology Department, Fondazione Istituto Neurologico Carlo Besta, Milan, Italy.
Hum Brain Mapp. 2022 Feb 15;43(3):998-1010. doi: 10.1002/hbm.25702. Epub 2021 Nov 3.
Neurobiological pain models propose that chronic pain is accompanied by neurofunctional changes that mediate pain processing dysfunctions. In contrast, meta-analyses of neuroimaging studies in chronic pain conditions have not revealed convergent evidence for robust alterations during experimental pain induction. Against this background, the present neuroimaging meta-analysis combined three different meta-analytic approaches with stringent study selection criteria for case-control functional magnetic resonance imaging experiments during acute pain processing with a focus on chronic pain disorders. Convergent neurofunctional dysregulations in chronic pain patients were observed in the left anterior insula cortex. Seed-based resting-state functional connectivity based on a large publicly available dataset combined with a meta-analytic task-based approach identified the anterior insular region as a key node of an extended bilateral insula-fronto-cingular network, resembling the salience network. Moreover, the meta-analytic decoding showed that this region presents a high probability to be specifically activated during pain-related processes, although we cannot exclude an involvement in autonomic processes. Together, the present findings indicate that dysregulated left anterior insular activity represents a robust neurofunctional maladaptation and potential treatment target in chronic pain disorders.
神经生物学疼痛模型提出,慢性疼痛伴随着介导疼痛处理功能障碍的神经功能变化。相比之下,慢性疼痛情况下的神经影像学研究的荟萃分析并没有为实验性疼痛诱导过程中的稳健改变提供一致的证据。在此背景下,本神经影像学荟萃分析结合了三种不同的荟萃分析方法,严格选择了慢性疼痛障碍急性疼痛处理过程中的病例对照功能磁共振成像实验的研究标准。在慢性疼痛患者中观察到左侧前岛叶皮层的神经功能失调。基于大型公开数据集的基于种子的静息状态功能连接,结合基于任务的荟萃分析方法,确定前岛叶区域为扩展的双侧岛叶-额-扣带网络的关键节点,类似于突显网络。此外,荟萃分析解码表明,该区域在与疼痛相关的过程中具有高度的特异性激活概率,尽管我们不能排除其与自主过程的关系。总之,这些发现表明,左侧前岛叶活动的失调代表了慢性疼痛障碍中一种稳健的神经功能适应不良和潜在的治疗靶点。