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Study of EEG microstates in Parkinson’s disease: a potential biomarker?
Cognitive Neurodynamics ( IF 3.1 ) Pub Date : 2020-10-19 , DOI: 10.1007/s11571-020-09643-0
Anita Pal 1 , Madhuri Behari 2 , Vinay Goyal 2 , Ratna Sharma 1
Affiliation  

The spontaneous activity of the brain is dynamic even at rest and the deviation from this normal pattern of dynamics can lead to different pathological states. EEG microstate analysis of resting-state neuronal activity in Parkinson’s disease (PD) could provide insight into altered brain dynamics of patients exhibiting dementia. Resting-state EEG microstate maps were derived from 128 channel EEG data in 20 PD without dementia (PDND), 18 PD with dementia (PDD) and 20 Healthy controls (CON) using Cartool and sLORETA softwares. Microstate map parameters including global explained variance, mean duration, frequency of occurrence (TF) and time coverage were compared statistically among the groups. Eight maps that explained 72% of the topographic variance were identified and only three maps differed significantly across the groups. TF of Map1 was lower in both PDND and PDD (p < 0.001) and that of Map3 (p = 0.02) in PDND compared to control. Cortical sources showed higher activation in precuneus, cuneus and superior parietal lobe (Threshold: Log-F = 1.74, p < 0.05) with maximum activity in the precuneus region (MNI co-ordinates: − 25, − 75, − 40; Log-F = 1.9) in PDND compared to control only for Map1. Lower TF of Map1 (prototypical microstate D) may potentially serve as a biomarker for PD with or without dementia whereas higher activation of precuneus, cuneus and superior parietal lobe at resting-state could favour signal processing, lack of which could be associated with dementia in Parkinson’s disorder.



中文翻译:

帕金森病脑电图微状态研究:潜在的生物标志物?

即使在休息时,大脑的自发活动也是动态的,偏离这种正常的动态模式会导致不同的病理状态。对帕金森病 (PD) 中静息状态神经元活动的脑电图微状态分析可以提供对痴呆患者大脑动力学改变的洞察。使用 Cartool 和 sLORETA 软件,从 20 名无痴呆 (PDND)、18 名患有痴呆的 PD (PDD) 和 20 名健康对照 (CON) 的 128 通道脑电图数据中得出静息状态脑电图微状态图。微观状态图参数包括全局解释方差、平均持续时间、发生频率 (TF) 和时间覆盖率在各组之间进行统计比较。确定了解释 72% 地形变化的八张地图,只有三张地图在各组之间存在显着差异。与对照相比,PDND 中的p  < 0.001) 和 Map3 ( p  = 0.02)。皮质源显示楔前叶、楔叶和顶叶上叶的激活程度更高(阈值:Log-F = 1.74,p  < 0.05),楔前叶区域的活动最大(MNI 坐标:- 25,- 75,- 40;Log- F = 1.9) 在 PDND 中与仅 Map1 的对照相比。Map1 的较低 TF(原型微状态 D)可能作为 PD 伴或不伴痴呆的生物标志物,而在静息状态下楔前叶、楔叶和顶叶上叶的较高激活可能有利于信号处理,缺乏这些可能与痴呆相关帕金森症。

更新日期:2020-10-20
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