Electrophysiology as a Tool to Decipher the Network Mechanism of Visceral Pain in Functional Gastrointestinal Disorders.
Electrophysiology as a Tool to Decipher the Network Mechanism of Visceral Pain in Functional Gastrointestinal Disorders.
复制标题
DOI：
10.3390/diagnostics13040627
复制
发表时间：
2023-02-08
期刊：
影响因子：
3.6
通讯作者：
Chen, Jiande D. Z.
中科院分区：
文献类型：
--
作者：
Alam, Md Jahangir;Chen, Jiande D. Z.
关键词：
腹痛，包括内脏痛，在功能性胃肠(GI)障碍(FGID)中普遍存在，影响患者的整体生活质量。大脑中的神经回路编码、存储和跨大脑区域传输疼痛信息。上行疼痛信号主动塑造大脑动力学；反过来，下行系统通过神经元抑制对疼痛做出反应。目前主要用神经成像技术研究患者的疼痛处理机制，但这些技术的时间分辨率相对较低。需要一种高时间分辨率的方法来解码疼痛处理机制的动力学。在这里，我们回顾了关键的大脑区域，这些区域以上升和下降的方式显示出疼痛调制效应。此外，我们还讨论了一种唯一适合的方法，即细胞外电生理学，它以高时空分辨率从大脑中捕获自然语言。这种方法允许并行记录相互连接的大脑区域中的大量神经元，并允许监测神经元的放电模式和大脑振荡的比较特征。此外，我们还讨论了这些振荡对疼痛状态的贡献。总之，使用创新的、最先进的方法，对多个神经元的大规模记录将引导我们更好地理解FGID的疼痛机制。
Abdominal pain, including visceral pain, is prevalent in functional gastrointestinal (GI) disorders (FGIDs), affecting the overall quality of a patient’s life. Neural circuits in the brain encode, store, and transfer pain information across brain regions. Ascending pain signals actively shape brain dynamics; in turn, the descending system responds to the pain through neuronal inhibition. Pain processing mechanisms in patients are currently mainly studied with neuroimaging techniques; however, these techniques have a relatively poor temporal resolution. A high temporal resolution method is warranted to decode the dynamics of the pain processing mechanisms. Here, we reviewed crucial brain regions that exhibited pain-modulatory effects in an ascending and descending manner. Moreover, we discussed a uniquely well-suited method, namely extracellular electrophysiology, that captures natural language from the brain with high spatiotemporal resolution. This approach allows parallel recording of large populations of neurons in interconnected brain areas and permits the monitoring of neuronal firing patterns and comparative characterization of the brain oscillations. In addition, we discussed the contribution of these oscillations to pain states. In summary, using innovative, state-of-the-art methods, the large-scale recordings of multiple neurons will guide us to better understanding of pain mechanisms in FGIDs.
登录
查看更多内容
影响因子：
5.3
作者：
Baliki, Marwan N.;Chialvo, Dante R.;Apkarian, A. Vania
通讯作者：
Apkarian, A. Vania
影响因子：
29.4
作者：
Cao, Zhijun;Wu, Xiaoyin;Li, Ying
通讯作者：
Li, Ying
克罗恩病患者大脑灰质结构的改变及其与心理困扰的相关性。
影响因子：
8
作者：
Bao, Chun Hui;Liu, Peng;Wu, Huan Gan
通讯作者：
Wu, Huan Gan
影响因子：
1.9
作者：
Bannerman, DM;Matthews, P;Rawlins, JNP
通讯作者：
Rawlins, JNP
影响因子：
5.3
作者：
Cao, Bing;Wang, Jun;Li, Ying
通讯作者：
Li, Ying