Alpha and Theta Oscillations Associated With Behavioral Phenotypes of Pain–Attention Interaction

IF 2.6 3区心理学 Q2 BEHAVIORAL SCIENCES Brain and Behavior Pub Date : 2025-01-19 DOI:10.1002/brb3.70190

Nikou Kelardashti, Benjamin T. Dunkley, Rima El-Sayed, Vaidhehi Veena Sanmugananthan, Junseok Andrew Kim, Natalie Rae Osborne, Joshua C. Cheng, Anton Rogachov, Rachael L. Bosma, Ariana E. Besik, Karen Deborah Davis

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Abstract

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.

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与疼痛-注意相互作用行为表型相关的α和θ振荡。

目的：疼痛本质上是突出的，因此除了影响注意力要求任务的表现外，还会吸引我们的注意力。疼痛-注意力相互作用的个体差异可以通过两种行为表型来评估，这两种行为表型量化了个体如何优先考虑疼痛和注意力需求。对疼痛的内在关注（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分类量化了疼痛如何影响注意力要求任务中的认知表现，将个体分为P型（疼痛占主导地位，与不疼痛相比疼痛时表现更差）和A型（对任务的注意力占主导地位，与不疼痛相比疼痛时表现更好）。尽管先前基于mri的研究已经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-注意表型之间的脑行为关系。方法：对50例被试（27例F， 23例M）进行静息状态脑磁图检查。个体IAP得分是通过评估疼痛时的走神来确定的，A/P类型是基于疼痛对认知任务表现的干扰。结果：主要发现：(1)低/高iap个体和A/ p型个体在DPC节点内的α峰频率（PAF）功率无显著差异；(2)与高iap个体相比，低iap个体左侧初级体感皮层、后扣带皮层和楔前叶的PAF较慢，上行伤害感受通路和默认模式网络的θ波功率较高；(3) iap低的雄性在整个DPC过程中具有更高的PAF能力。结论：DPC内的α和θ振荡可能是注意焦点和疼痛-注意相互作用的基础。

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来源期刊

Brain and Behavior BEHAVIORAL SCIENCES-NEUROSCIENCES

CiteScore

5.30

自引率

0.00%

发文量

352

审稿时长

14 weeks

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