Pal Anita, Behari Madhuri, Sharma Ratna
Department of Physiology, All India Institute of Medical Sciences, New Delhi, India.
Department of Zoology, University of Allahabad, Prayagraj, Uttar Pradesh, India.
Ann Indian Acad Neurol. 2024 Nov 1;27(6):663-667. doi: 10.4103/aian.aian_198_24. Epub 2024 Dec 10.
Working memory (WM) impairment is a common and progressive abnormality in Parkinson's disease (PD), which ultimately leads to dementia. Individuals with PD exhibit altered electroencephalogram (EEG) patterns while engaging in tasks that require WM. The study examined the EEG patterns associated with WM maintenance in PD patients.
The study consisted of two groups of PD patients with a sign of dementia (PDD) who had a Mini Mental State Examination (MMSE) score ≤24, PD patients with no sign of dementia (PDND) with an MMSE score >24, and a group of healthy individuals serving as controls (CON). We obtained EEG during a word memorization task using a 128-channel system. The spectral power of the EEG was computed using the fast Fourier transformation algorithm.
Compared to both PDND and CON groups, PDD group exhibited higher power in the delta and beta frequency bands. Conversely, there was a notable decrease in power in the gamma band in both the PDD and PDND groups compared to the CON group. In addition, the PDD group exhibited higher power in the gamma band compared to the PDND group. Power in the alpha (LA1, LA2, and UA) and theta bands was greater in PDND and PDD compared to CON, but was similar between PDND and PDD groups.
While performing WM tasks, PDD exhibits increased delta and beta power. These findings can be used as a quantitative biomarker to evaluate the severity of initial WM impairments, which could potentially develop into dementia in the future.
工作记忆(WM)损害是帕金森病(PD)常见且进行性的异常表现,最终会导致痴呆。帕金森病患者在进行需要工作记忆的任务时,脑电图(EEG)模式会发生改变。本研究检测了帕金森病患者与工作记忆维持相关的脑电图模式。
本研究包括两组帕金森病患者,一组为有痴呆迹象的帕金森病痴呆患者(PDD),其简易精神状态检查表(MMSE)评分≤24;另一组为无痴呆迹象的帕金森病患者(PDND),其MMSE评分>24;还有一组健康个体作为对照组(CON)。我们使用128通道系统在单词记忆任务期间获取脑电图。脑电图的频谱功率通过快速傅里叶变换算法计算得出。
与PDND组和CON组相比,PDD组在δ和β频段具有更高的功率。相反,与CON组相比,PDD组和PDND组在γ频段的功率均显著降低。此外,与PDND组相比,PDD组在γ频段具有更高的功率。与CON组相比,PDND组和PDD组在α(LA1、LA2和UA)和θ频段的功率更大,但PDND组和PDD组之间相似。
在执行工作记忆任务时,PDD组的δ和β功率增加。这些发现可作为一种定量生物标志物,用于评估初始工作记忆损害的严重程度,这种损害未来可能发展为痴呆。