与疼痛-注意力相互作用行为表型相关的α波和θ波振荡
Alpha and Theta Oscillations Associated With Behavioral Phenotypes of Pain-Attention Interaction.
作者信息
Kelardashti Nikou, Dunkley Benjamin T, El-Sayed Rima, Sanmugananthan Vaidhehi Veena, Kim Junseok Andrew, Osborne Natalie Rae, Cheng Joshua C, Rogachov Anton, Bosma Rachael L, Besik Ariana E, Davis Karen Deborah
机构信息
Division of Brain, Imaging and Behavior, Krembil Brain Institute, Krembil Research Institute, University Health Network, Toronto, Ontario, Canada.
Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada.
出版信息
Brain Behav. 2025 Jan;15(1):e70190. doi: 10.1002/brb3.70190.
PURPOSE
Pain is inherently salient and so draws our attention in addition to impacting performance on attention-demanding tasks. Individual variability in pain-attention interactions can be assessed by two kinds of behavioral phenotypes that quantify how individuals prioritize pain versus attentional needs. The intrinsic attention to pain (IAP) measure quantifies the degree to which a person attends to pain (high-IAP) or mind-wanders away from pain (low-IAP). The A/P categorization quantifies how pain impacts cognitive performance during an attention-demanding task classifying individuals into P type (pain dominates, worse performance during pain in comparison to no pain) and A type (attention to task dominates, better performance during pain in comparison to no pain). Although previous MRI-based studies have linked these phenotypes with the dynamic pain connectome (DPC), the underlying neural oscillations are not known. This paper aims to examine the brain-behavior relationship between alpha and theta oscillations within nodes of the DPC and pain-attention phenotypes.
METHOD
Fifty participants (27 F, 23 M) underwent resting-state magnetoencephalography (MEG). Individual IAP scores were determined by assessing mind-wandering during pain and A/P type was based on interference of pain with cognitive task performance.
FINDING
The main findings were: (1) peak alpha frequency (PAF) power did not differ between low/high-IAP individuals or A/P-type individuals within the nodes of the DPC; (2) compared to high-IAP individuals, those with low-IAP have slower PAF in the left primary somatosensory cortex, posterior cingulate cortex and precuneus and higher theta power in the ascending nociceptive pathway and default mode network; (3) males with low-IAP, compared to females, had higher PAF power throughout the DPC.
CONCLUSION
Alpha and theta oscillations within the DPC may underlie aspects of attentional focus and pain-attention interactions.
目的
疼痛本质上是显著的，除了影响需要注意力的任务表现外，还会吸引我们的注意力。疼痛与注意力相互作用中的个体差异可以通过两种行为表型来评估，这两种表型量化了个体如何在疼痛与注意力需求之间进行优先级排序。对疼痛的内在注意力（IAP）测量量化了一个人关注疼痛的程度（高IAP）或从疼痛中走神的程度（低IAP）。A/P分类量化了在一项需要注意力的任务中疼痛如何影响认知表现，将个体分为P型（疼痛占主导，与无疼痛相比，疼痛时表现更差）和A 型（对任务的注意力占主导，与无疼痛相比，疼痛时表现更好）。尽管先前基于磁共振成像（MRI）的研究已将这些表型与动态疼痛连接组（DPC）联系起来，但潜在的神经振荡尚不清楚。本文旨在研究DPC节点内α和θ振荡与疼痛注意力表型之间的脑-行为关系。
方法
50名参与者（27名女性，23名男性）接受了静息态脑磁图（MEG）检查。个体IAP分数通过评估疼痛期间的走神情况来确定，A/P类型基于疼痛对认知任务表现的干扰。
结果
主要发现如下：（1）在DPC节点内，低/高IAP个体或A/P类型个体之间的α峰值频率（PAF）功率没有差异；（2）与高IAP个体相比，低IAP个体在左侧初级体感皮层、后扣带回皮层和楔前叶的PAF较慢，在伤害性上行通路和默认模式网络中的θ功率较高；（3）与女性相比，低IAP男性在整个DPC中的PAF功率更高。
结论
DPC内的α和θ振荡可能是注意力焦点和疼痛-注意力相互作用方面的基础。
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