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电生理学作为一种工具,用于解读功能性胃肠疾病中内脏痛的网络机制。

Electrophysiology as a Tool to Decipher the Network Mechanism of Visceral Pain in Functional Gastrointestinal Disorders.

作者信息

Alam Md Jahangir, Chen Jiande D Z

机构信息

Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.

出版信息

Diagnostics (Basel). 2023 Feb 8;13(4):627. doi: 10.3390/diagnostics13040627.

Abstract

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.

摘要

腹痛,包括内脏痛,在功能性胃肠疾病(FGIDs)中很常见,会影响患者的整体生活质量。大脑中的神经回路对疼痛信息进行编码、存储并在不同脑区之间传递。上行疼痛信号积极塑造脑动力学;反过来,下行系统通过神经元抑制对疼痛做出反应。目前主要通过神经成像技术研究患者的疼痛处理机制;然而,这些技术的时间分辨率相对较差。需要一种高时间分辨率的方法来解码疼痛处理机制的动态过程。在此,我们回顾了以升序和降序方式表现出疼痛调节作用的关键脑区。此外,我们讨论了一种特别合适的方法,即细胞外电生理学,它能以高时空分辨率捕捉来自大脑的自然语言。这种方法允许在相互连接的脑区并行记录大量神经元,并能监测神经元放电模式以及对脑振荡进行比较表征。此外,我们还讨论了这些振荡对疼痛状态的影响。总之,使用创新的、最先进的方法,对多个神经元进行大规模记录将有助于我们更好地理解FGIDs中的疼痛机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2727/9955347/f30776b7e2a4/diagnostics-13-00627-g001.jpg

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