Resting-state EEG spectral and fractal features in dementia with Lewy bodies with and without visual hallucinations

IF 3.7 3区医学 Q1 CLINICAL NEUROLOGY

Clinical Neurophysiology Pub Date : 2024-10-16 DOI:10.1016/j.clinph.2024.10.004

Antonino Vallesi , Camillo Porcaro , Antonino Visalli , Davide Fasolato , Francesco Rossato , Cinzia Bussè , Annachiara Cagnin

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引用次数: 0

Abstract

Objective

Complex visual hallucinations (VH) are a core feature of dementia with Lewy bodies (DLB), though they may not occur in all patients. Power spectral density (PSD) analysis of resting-state EEG (rs-EEG) shows associations between some frequency bands (e.g., theta), individual alpha frequency (IAF) and VH. However, new tools that improve early differential diagnosis and symptom-based stratification with higher sensitivity and specificity, even within the DLB population, are desirable. We aimed to assess differences in rs-EEG data between DLB patients with VH (DLB-VH+) and without VH (DLB-VH-), comparing innovative non-linear approaches with more traditional linear ones.

Methods

We retrospectively analyzed rs-EEG recordings of DLB-VH+, DLB-VH-, Alzheimer’s disease patients and age-matched healthy controls. EEG was analyzed using the nonlinear Higuchi’s Fractal Dimension (FD) measure, and the results were compared with those of entropy and standard linear methods based on PSD and IAF.

Results

Only the FD measure could discriminate between DLB-VH+ and DLB-VH-.

Conclusions

In conclusion, rs-EEG differences between DLB-VH+ and DLB-VH- are better characterized by FD analysis than by a more traditional power spectrum approach.

Significance

This suggests that the presence of complex VH is associated with less complex brain dynamics at rest, as reflected by the FD measure.

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伴有或不伴有视幻觉的路易体痴呆症静息态脑电图频谱和分形特征。

目的：复杂视幻觉（VH）是路易体痴呆（DLB）的一个核心特征，但并非所有患者都会出现。静息态脑电图（rs-EEG）的功率谱密度（PSD）分析表明，某些频段（如θ）、单个α频率（IAF）与VH之间存在关联。然而，即使是在 DLB 患者中，也需要能提高早期鉴别诊断和基于症状分层的灵敏度和特异性的新工具。我们旨在评估有 VH 的 DLB 患者（DLB-VH+）和无 VH 的 DLB 患者（DLB-VH-）之间的 rs-EEG 数据差异，比较创新的非线性方法和更传统的线性方法：我们回顾性分析了 DLB-VH+、DLB-VH-、阿尔茨海默病患者和年龄匹配的健康对照者的 rs-EEG 记录。使用非线性樋口分形维度（FD）测量法分析脑电图，并将结果与熵法以及基于 PSD 和 IAF 的标准线性方法进行比较：结果：只有 FD 测量能区分 DLB-VH+ 和 DLB-VH-：总之，与更传统的功率谱方法相比，FD分析能更好地描述DLB-VH+和DLB-VH-之间的rs-EEG差异：意义：这表明，复杂 VH 的存在与静息状态下较不复杂的大脑动力学有关，这一点在 FD 测量中得到了反映。

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

Clinical Neurophysiology 医学-临床神经学

CiteScore

8.70

自引率

6.40%

发文量

932

审稿时长

59 days

期刊介绍： As of January 1999, The journal Electroencephalography and Clinical Neurophysiology, and its two sections Electromyography and Motor Control and Evoked Potentials have amalgamated to become this journal - Clinical Neurophysiology. Clinical Neurophysiology is the official journal of the International Federation of Clinical Neurophysiology, the Brazilian Society of Clinical Neurophysiology, the Czech Society of Clinical Neurophysiology, the Italian Clinical Neurophysiology Society and the International Society of Intraoperative Neurophysiology.The journal is dedicated to fostering research and disseminating information on all aspects of both normal and abnormal functioning of the nervous system. The key aim of the publication is to disseminate scholarly reports on the pathophysiology underlying diseases of the central and peripheral nervous system of human patients. Clinical trials that use neurophysiological measures to document change are encouraged, as are manuscripts reporting data on integrated neuroimaging of central nervous function including, but not limited to, functional MRI, MEG, EEG, PET and other neuroimaging modalities.