Department of Neurosciences, 37576"Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Cluj, Romania.
RoNeuro Institute for Neurological Research and Diagnostic, Cluj-Napoca, Cluj, Romania.
Clin EEG Neurosci. 2021 May;52(3):201-210. doi: 10.1177/1550059420971122. Epub 2020 Nov 8.
Quantitative electroencephalography (QEEG) has been documented as a helpful tool in the differential diagnosis of Alzheimer's disease (AD) with common forms of dementia. The main objective of the study was to assess the role of QEEG in AD differential diagnosis with other forms of dementia: Lewy body dementia (LBD), Parkinson's disease dementia (PDD), frontotemporal dementia (FTD), and vascular dementia (VaD).
We searched PubMed, Embase, and PsycNET, for articles in English published in peer-reviewed journals from January 1, 1980 to April 23, 2019 using adapted search strategies containing keywords and . The risk of bias was assessed by applying the QUADAS tool. The systematic review was conducted in line with the PRISMA methodology.
We identified 10 articles showcasing QEEG features used in diagnosing dementia, EEG slowing phenomena in AD and PDD, coherence changes in AD and VaD, the role of LORETA in dementia, and the controversial QEEG pattern in FTD. Results vary significantly in terms of sociodemographic features of the studied population, neuropsychological assessment, signal acquisition and processing, and methods of analysis.
This article provides a comparative synthesis of existing evidence on the role of QEEG in diagnosing dementia, highlighting some specific features for different types of dementia (eg, the slow-wave activity has been remarked in both AD and PDD, but more pronounced in PDD patients, a diminution in anterior and posterior alpha coherence was noticed in AD, and a lower alpha coherence in the left temporal-parietal-occipital regions was observed in VaD).
QEEG may be a useful investigation for settling the diagnosis of common forms of dementia. Further research of quantitative analyses is warranted, particularly on the association between QEEG, neuropsychological, and imaging features. In conjunction, these methods may provide superior diagnostic accuracy in the diagnosis of dementia.
定量脑电图（QEEG）已被证明是阿尔茨海默病（AD）与常见类型痴呆症鉴别诊断的有用工具。本研究的主要目的是评估 QEEG 在 AD 与其他类型痴呆症（路易体痴呆症[LBD]、帕金森病痴呆症[PDD]、额颞叶痴呆症[FTD]和血管性痴呆症[VaD]）鉴别诊断中的作用。
我们在 PubMed、Embase 和 PsycNET 中搜索了 1980 年 1 月 1 日至 2019 年 4 月 23 日发表在同行评议期刊上的英文文章，使用包含关键词的适应性搜索策略。应用 QUADAS 工具评估偏倚风险。系统评价符合 PRISMA 方法学。
我们确定了 10 篇文章，展示了用于诊断痴呆的 QEEG 特征、AD 和 PDD 的 EEG 减慢现象、AD 和 VaD 的相干性变化、LORETA 在痴呆中的作用以及 FTD 中存在争议的 QEEG 模式。研究人群的社会人口学特征、神经心理学评估、信号采集和处理以及分析方法的不同，导致结果差异显著。
本文比较综合了现有关于 QEEG 在诊断痴呆中的作用的证据，强调了不同类型痴呆症的一些特定特征（例如，慢波活动在 AD 和 PDD 中都有发现，但在 PDD 患者中更为明显，AD 患者的前、后部α相干性降低，VaD 患者左颞顶枕叶区的α相干性降低）。
QEEG 可能是诊断常见类型痴呆症的有用检查方法。需要进一步研究定量分析，特别是 QEEG、神经心理学和影像学特征之间的关系。这些方法结合使用可能会提高痴呆症诊断的准确性。
