帕金森病患者药物不变的静息非周期性和周期性神经活动。

Psychophysiology Pub Date : 2024-04-01 Epub Date: 2023-11-08 DOI:10.1111/psyp.14478
Daniel J McKeown, Manon Jones, Camilla Pihl, Anna J Finley, Nicholas Kelley, Oliver Baumann, Victor R Schinazi, Ahmed A Moustafa, James F Cavanagh, Douglas J Angus
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摘要

帕金森病(PD)与静息脑电图(EEG)的标准频带(即α、β)中的总功率更大有关。然而,PD也与所有频带的总功率比例的降低有关。这种差异可以通过所有频带上存在的非周期性活动(指数和偏移)来解释。在这里,我们研究了PD参与者(N = 26)开药和停药以及年龄匹配的健康对照(CTL;N = 26)。我们使用传统方法从规范频带中提取功率(总α和β功率),并提取周期性(参数化α和β功)和非周期性活动(指数和偏移)的单独参数。基于空间和频率维度的聚类排列测试表明,PD参与者的总α和β功率、非周期指数和偏移量更大,与药物状态无关。在去除指数和偏移后,PD中的α功率(相对于CTL)仅存在于EO记录中,并且没有观察到β功率的可靠差异。静息脑电图中PD和CTL之间的差异可能是由非周期性活动驱动的,这表明相对抑制性神经活动更大,神经元尖峰更大。我们的研究结果表明,PD的静息脑电图活动以非周期性活动的药物不变差异为特征,这与EO的α功率增加无关。这突出了考虑非周期性活动对大脑疾病神经相关性的贡献的重要性。
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Medication-invariant resting aperiodic and periodic neural activity in Parkinson's disease.

Parkinson's disease (PD) has been associated with greater total power in canonical frequency bands (i.e., alpha, beta) of the resting electroencephalogram (EEG). However, PD has also been associated with a reduction in the proportion of total power across all frequency bands. This discrepancy may be explained by aperiodic activity (exponent and offset) present across all frequency bands. Here, we examined differences in the eyes-open (EO) and eyes-closed (EC) resting EEG of PD participants (N = 26) on and off medication, and age-matched healthy controls (CTL; N = 26). We extracted power from canonical frequency bands using traditional methods (total alpha and beta power) and extracted separate parameters for periodic (parameterized alpha and beta power) and aperiodic activity (exponent and offset). Cluster-based permutation tests over spatial and frequency dimensions indicated that total alpha and beta power, and aperiodic exponent and offset were greater in PD participants, independent of medication status. After removing the exponent and offset, greater alpha power in PD (vs. CTL) was only present in EO recordings and no reliable differences in beta power were observed. Differences between PD and CTL in the resting EEG are likely driven by aperiodic activity, suggestive of greater relative inhibitory neural activity and greater neuronal spiking. Our findings suggest that resting EEG activity in PD is characterized by medication-invariant differences in aperiodic activity which is independent of the increase in alpha power with EO. This highlights the importance of considering aperiodic activity contributions to the neural correlates of brain disorders.

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