预测(人工智能)
心理学
止痛药
默认模式网络
脑电图
感知
神经科学
听力学
刺激
麻醉
医学
认知
计算机科学
人工智能
作者
Xiaoyun Li,Zhouan Liu,Yuzhen Hu,Richu Jin,Wutao Lou,Weiwei Peng
标识
DOI:10.1038/s42003-024-07129-x
摘要
Previous studies suggest that pain perception is greatly shaped by anticipation, with M1 and DLPFC involved in this process. We hypothesized that high-frequency rTMS targeting these regions could alter pain anticipation and thereby reduce pain perception. In a double-blind, sham-controlled study, healthy participants received 10 Hz rTMS to M1, DLPFC, or a sham treatment. Assessments were conducted before, immediately after, and 60 min after stimulation, including laser-evoked potentials, pain ratings, and anticipatory EEG. M1-rTMS immediately reduced laser-evoked P2 amplitude, increased sensorimotor high-frequency α-oscillation power, and accelerated peak alpha frequency in the midfrontal region during pain anticipation. In contrast, DLPFC-rTMS reduced the N2-P2 complex and pain ratings 60 min post-stimulation, an effect associated with prolonged microstate C duration during pain anticipation—a microstate linked to default mode network activity. Thus, M1-rTMS immediately modulates anticipatory α-oscillations and laser-evoked potentials, while DLPFC-rTMS induces delayed analgesic effects partially by modulating default mode network activity. High-frequency rTMS to M1 and DLPFC modulates pain anticipation and perception. M1-rTMS immediately reduced pain via α-oscillation modulation, while DLPFC-rTMS produced delayed analgesia through default mode network modulation.
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