Department of Health Science and Technology, Integrative Neuroscience Group, Center for Neuroplasticity and Pain (CNAP), Aalborg University, Aalborg, Denmark.
Institute for Research and Development in Bioengineering and Bioinformatics (IBB), CONICET-UNER, Oro Verde, Argentina.
Brain Topogr. 2021 Mar;34(2):192-206. doi: 10.1007/s10548-020-00815-z. Epub 2021 Jan 5.
Musculoskeletal pain is a clinical condition that is characterized by ongoing pain and discomfort in the deep tissues such as muscle, bones, ligaments, nerves, and tendons. In the last decades, it was subject to extensive research due to its high prevalence. Still, a quantitative description of the electrical brain activity during musculoskeletal pain is lacking. This study aimed to characterize intracranial current source density (CSD) estimations during sustained deep-tissue experimental pain. Twenty-three healthy volunteers received three types of tonic stimuli for three minutes each: computer-controlled cuff pressure (1) below pain threshold (sustained deep-tissue no-pain, SDTnP), (2) above pain threshold (sustained deep-tissue pain, SDTP) and (3) vibrotactile stimulation (VT). The CSD in response to these stimuli was calculated in seven regions of interest (ROIs) likely involved in pain processing: contralateral anterior cingulate cortex, contralateral primary somatosensory cortex, bilateral anterior insula, contralateral dorsolateral prefrontal cortex, posterior parietal cortex and contralateral premotor cortex. Results showed that participants exhibited an overall increase in spectral power during SDTP in all seven ROIs compared to both SDTnP and VT, likely reflecting the differences in the salience of these stimuli. Moreover, we observed a difference is CSD due to the type of stimulus, likely reflecting somatosensory discrimination of stimulus intensity. These results describe the different contributions of neural oscillations within these brain regions in the processing of sustained deep-tissue pain.
肌肉骨骼疼痛是一种临床病症,其特征是肌肉、骨骼、韧带、神经和肌腱等深部组织持续疼痛和不适。在过去几十年中,由于其高发病率,它受到了广泛的研究。然而,对于肌肉骨骼疼痛期间大脑电活动的定量描述仍然缺乏。本研究旨在描述持续深部组织实验性疼痛期间颅内电流源密度(CSD)的估计。23 名健康志愿者接受了三种类型的持续三分钟的紧张刺激:(1)低于疼痛阈值的计算机控制袖带压力(持续深部无疼痛,SDTnP),(2)高于疼痛阈值的计算机控制袖带压力(持续深部疼痛,SDTP)和(3)振动刺激(VT)。在七个可能参与疼痛处理的感兴趣区域(ROI)中计算了这些刺激的 CSD:对侧前扣带皮层、对侧初级体感皮层、双侧前岛叶、对侧背外侧前额叶皮层、后顶叶皮层和对侧运动前皮层。结果表明,与 SDTnP 和 VT 相比,参与者在 SDTP 期间在所有七个 ROI 中均表现出光谱功率的总体增加,这可能反映了这些刺激的显着性差异。此外,我们观察到由于刺激类型的不同而导致 CSD 不同,这可能反映了对刺激强度的躯体感觉辨别。这些结果描述了这些脑区中神经振荡在处理持续深部组织疼痛中的不同贡献。