使用内记录,对人类二进制和分级强力疼痛的时空动态进行表征
Rose M Caston1,2, Elliot H Smith2,3, Tyler S Davis2
1Department of Biomedical Engineering, University of Utah, Salt Lake City, Utah, United States of America.
PloS one
|October 16, 2023
概括
这项研究揭示了大脑活动,特别是高频局域潜在幅度 (HFA),如何随着时间的推移预测疼痛感知. 不同的大脑区域在刺激开始时与抵消时编码疼痛,为疼痛处理提供了新的见解.
科学领域:
- 神经科学是一个神经科学.
- 疼痛研究 疼痛研究
- 计算精神病学是一种计算精神病学.
背景情况:
- 疼痛是一种复杂的感官,情感和认知体验.
- 了解疼痛感知的神经基础对于开发有效的慢性疼痛治疗至关重要.
- 有限的研究使用了高分辨率的方法来研究疼痛的神经编码及其心理物理相关性.
研究的目的:
- 为了研究在强烈的热刺激期间疼痛感知的时空神经编码.
- 检查神经活动 (HFA) 和心理物理疼痛评估之间的关系.
- 确定参与编码二进制 (疼痛/不疼痛) 和分级 (疼痛强度) 疼痛反应的大脑区域.
主要方法:
- 20名患者在16个大脑区域内进行了内立体EEG (sEEG) 记录.
- 心理物理疼痛测试使用强化剂热刺激应用于手.
- 使用通用线性混合效应模型 (GLME) 分析宽带高频局域潜在幅度 (HFA;70-150 Hz).
主要成果:
- 在下回 (ITG),上额回 (SFG) 和上回 (STG) 中的HFA预测了刺激开始时的疼痛反应.
- 在轨道前皮层 (OFC),SFG和条纹体中增加的HFA预测了刺激抵消时的疼痛反应.
- 多个区域在发病时预测了疼痛评级,而只有杏仁体和状环在偏移时预测了评级,这表明了动态神经编码.
结论:
- 在强化刺激的过程中,心理物理疼痛的神经编码在动态上发生变化.
- 不同的大脑区域参与在刺激的不同时间阶段表示疼痛.
- 这些发现为人类大脑疼痛处理的时空动态提供了关键的见解.
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