High delta and gamma EEG power in resting state characterise dementia in Parkinson’s patients

Q2 Medicine
Anita Pal , Nishi Pegwal , Madhuri Behari , Ratna Sharma
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引用次数: 8

Abstract

Background

Parkinson’s disease (PD) is a chronic neurodegenerative disease with appearance of dementia as the disease progresses. Dementia in PD worsens the quality of life and poses a burden on caregivers. Objective markers of the presence and as well as onset of dementia needs to be explored to improve the quality of life.

We attempted to identify EEG abnormalities that differentiate PD patients with or without dementia using high density EEG. The differential changes in the EEG spectral activity could mark the early stage as well as onset of dementia in Parkinson’s disease (PD).

Methods

The present study was designed to find out the resting eyes-closed (EC) EEG characteristics in PD with dementia (PDD) and without dementia (PDND) compared to healthy controls (CON) of both gender using high density EEG. Absolute power of seven frequency bands based on individual alpha frequency was estimated by Fast Fourier transform algorithm in 58 PD patients (30 PDND and 28 PDD) and 26 CON.

Results

Compared to CON, PDND had higher power in theta and lower alpha1 bands while PDD had higher power in delta, theta, lower alpha1 and beta bands. Higher delta and gamma power with no difference in theta and lower alpha 1 power was the characteristic feature of PD patients with dementia compared to non-dementia.

Conclusions

This cross-sectional study proposes to use these differential changes in power as EEG signatures of appearance of dementia in PD. Absence of high delta power, but presence of high theta and lower alpha 1 power defined PDND group compared to CON.

静息状态高δ和γ脑电图功率是帕金森病患者痴呆的特征
帕金森氏病(PD)是一种慢性神经退行性疾病,随着疾病的进展会出现痴呆。PD患者的痴呆使生活质量恶化,并给护理人员带来负担。需要探索痴呆症存在和发病的客观标志,以提高生活质量。我们试图用高密度脑电图来鉴别PD患者是否患有痴呆的脑电图异常。脑电图谱活动的差异变化可以标志帕金森病(PD)的早期和痴呆的发作。方法采用高密度脑电图分析PD合并痴呆(PDD)和PD无痴呆(pnd)患者与健康对照(CON)的静息闭眼脑电图特征。采用快速傅里叶变换算法对58例PD患者(30例pnd和28例PDD)和26例CON患者基于个体α频率的7个频段的绝对功率进行了估计。结果与CON患者相比,pnd患者在θ和下α 1波段的功率更高,而PDD患者在δ、θ、下α 1和β波段的功率更高。与非痴呆患者相比,较高的δ和γ功率与θ无差异,较低的α 1功率是痴呆PD患者的特征。本横断面研究建议使用这些功率的差异变化作为PD痴呆外观的EEG特征。与CON相比,没有高δ功率,但存在高θ和低α 1功率定义pnd组。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biomarkers in Neuropsychiatry
Biomarkers in Neuropsychiatry Medicine-Psychiatry and Mental Health
CiteScore
4.00
自引率
0.00%
发文量
12
审稿时长
7 weeks
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