帕金森病患者在认知控制过程中的电生理非周期性活动变化。

IF 4.1 Q1 CLINICAL NEUROLOGY
Brain communications Pub Date : 2024-09-07 eCollection Date: 2024-01-01 DOI:10.1093/braincomms/fcae306
Noémie Monchy, Julien Modolo, Jean-François Houvenaghel, Bradley Voytek, Joan Duprez
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引用次数: 0

摘要

帕金森病的认知症状很常见,会严重影响患者的生活质量。因此,临床上迫切需要从行为和/或神经影像学指标中找出一种特征,以预测哪些患者早期认知能力快速下降的风险会增加。最近,越来越多的证据表明,脑电图的非周期性活动反映了与年龄、发育、认知和感知状态或病理相关的有意义的生理信息。在本研究中,我们旨在调查帕金森病患者在认知控制过程中的非周期性活动,并描述其与行为之间可能存在的关联。在此,我们记录了 30 名健康对照组和 30 名帕金森病患者在执行西蒙任务时的高密度脑电图。我们在激活抑制模型的背景下分析了与任务相关的行为数据,并提取了头皮和源水平的非周期性参数(偏移、指数)。我们的研究结果表明,帕金森病患者在认知控制方面的行为表现较差,而顶枕区的偏移量较高,这表明帕金森病患者的兴奋性增高。研究还发现,前中枢和后中枢脑区的非周期性参数存在微小的一致性效应,这可能与任务执行有关。在整个大脑中,静息状态、刺激前和刺激后阶段的非周期性参数存在显著差异,这证实了观察到的非周期性活动变化与任务执行有关。非周期性活动与行为或临床特征之间没有相关性。我们的研究结果提供了证据,证明帕金森病患者的脑电图非周期性活动以更大的偏移为特征,并且非周期性参数因唤醒状态而异。然而,我们的研究结果并不支持帕金森病中观察到的行为相关差异与非周期变化有关的假设。总之,这项研究强调了考虑非周期性活动对脑部疾病的贡献以及进一步研究非周期性活动与行为之间关系的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Changes in electrophysiological aperiodic activity during cognitive control in Parkinson's disease.

Cognitive symptoms in Parkinson's disease are common and can significantly affect patients' quality of life. Therefore, there is an urgent clinical need to identify a signature derived from behavioural and/or neuroimaging indicators that could predict which patients are at increased risk for early and rapid cognitive decline. Recently, converging evidence identified that aperiodic activity of the EEG reflects meaningful physiological information associated with age, development, cognitive and perceptual states or pathologies. In this study, we aimed to investigate aperiodic activity in Parkinson's disease during cognitive control and characterize its possible association with behaviour. Here, we recorded high-density EEG in 30 healthy controls and 30 Parkinson's disease patients during a Simon task. We analysed task-related behavioural data in the context of the activation-suppression model and extracted aperiodic parameters (offset, exponent) at both scalp and source levels. Our results showed lower behavioural performances in cognitive control as well as higher offsets in patients in the parieto-occipital areas, suggesting increased excitability in Parkinson's disease. A small congruence effect on aperiodic parameters in pre- and post-central brain areas was also found, possibly associated with task execution. Significant differences in aperiodic parameters between the resting-state, pre- and post-stimulus phases were seen across the whole brain, which confirmed that the observed changes in aperiodic activity are linked to task execution. No correlation was found between aperiodic activity and behaviour or clinical features. Our findings provide evidence that EEG aperiodic activity in Parkinson's disease is characterized by greater offsets, and that aperiodic parameters differ depending on arousal state. However, our results do not support the hypothesis that the behaviour-related differences observed in Parkinson's disease are related to aperiodic changes. Overall, this study highlights the importance of considering aperiodic activity contributions in brain disorders and further investigating the relationship between aperiodic activity and behaviour.

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