Characterization of spatiotemporal dynamics of binary and graded tonic pain in humans using intracranial recordings.
Characterization of spatiotemporal dynamics of binary and graded tonic pain in humans using intracranial recordings.
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使用颅内记录表征人类二元和分级强直性疼痛的时空动力学。
DOI：
10.1101/2023.03.08.531576
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Rolston,JohnD
中科院分区：
文献类型：
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作者：
Caston,RoseM;Smith,ElliotH;Davis,TylerS;Singh,Hargunbir;Rahimpour,Shervin;Rolston,JohnD
疼痛是一种复杂的体验，涉及感官，情感和认知方面，多个网络管理其在大脑中的处理。研究疼痛如何转化为行为反应可以揭示网络的关系，并促进治疗慢性疼痛的干预措施。然而，使用高空间和时间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的研究一直有限。我们记录从颅内立体脑电图（sEEG）电极植入16个不同的大脑区域的20例患者进行心理物理疼痛测试，包括紧张性热刺激的手。宽带高频局部场电位振幅（HFA; 70-150 Hz）被隔离，以研究正在进行的神经活动和由此产生的心理物理疼痛评价之间的关系。两种不同的广义线性混合效应模型（GLME）进行评估的神经表征基础的二元和分级疼痛心理物理学。第一个模型检查了HFA与患者对试验是否疼痛的反应是“是”还是“否”之间的关系。第二个模型研究了HFA和刺激疼痛程度之间的关系。GLME显示，颞下回（ITG），上级额回（SFG）和上级颞回（STG）的HFA预测刺激开始时的疼痛反应。眶额皮质（OFC），SFG和纹状体中HFA的增加预测刺激偏移时的疼痛反应。许多区域，包括前扣带皮层、海马、IFG、MTG、OFC和纹状体，预测刺激开始时的疼痛等级。然而，只有杏仁核和梭状回预测增加疼痛评级在刺激抵消。我们的特点是紧张性疼痛刺激过程中的二元和分级疼痛反应的时空表示。我们的研究提供了来自颅内记录的证据，即在紧张性热刺激期间，心理物理疼痛的神经编码随时间而变化，不同的大脑区域在刺激开始和结束时预测疼痛。
Pain is a complex experience involving sensory, emotional, and cognitive aspects, and multiple networks manage its processing in the brain. Examining how pain transforms into a behavioral response can shed light on the networks’ relationships and facilitate interventions to treat chronic pain. However, studies using high spatial and temporal resolution methods to investigate the neural encoding of pain and its psychophysical correlates have been limited. We recorded from intracranial stereo-EEG (sEEG) electrodes implanted in sixteen different brain regions of twenty patients who underwent psychophysical pain testing consisting of a tonic thermal stimulus to the hand. Broadband high-frequency local field potential amplitude (HFA; 70–150 Hz) was isolated to investigate the relationship between the ongoing neural activity and the resulting psychophysical pain evaluations. Two different generalized linear mixed-effects models (GLME) were employed to assess the neural representations underlying binary and graded pain psychophysics. The first model examined the relationship between HFA and whether the patient responded "yes" or "no" to whether the trial was painful. The second model investigated the relationship between HFA and how painful the stimulus was rated on a visual analog scale. GLMEs revealed that HFA in the inferior temporal gyrus (ITG), superior frontal gyrus (SFG), and superior temporal gyrus (STG) predicted painful responses at stimulus onset. An increase in HFA in the orbitofrontal cortex (OFC), SFG, and striatum predicted pain responses at stimulus offset. Numerous regions, including the anterior cingulate cortex, hippocampus, IFG, MTG, OFC, and striatum, predicted the pain rating at stimulus onset. However, only the amygdala and fusiform gyrus predicted increased pain ratings at stimulus offset. We characterized the spatiotemporal representations of binary and graded painful responses during tonic pain stimuli. Our study provides evidence from intracranial recordings that the neural encoding of psychophysical pain changes over time during a tonic thermal stimulus, with different brain regions being predictive of pain at the beginning and end of the stimulus.