阿尔茨海默病中神经活动动态特性的特征分析：探索 EEG 静息态活动的非平稳性和复发结构。

Characterization of the dynamic behavior of neural activity in Alzheimer's disease: exploring the non-stationarity and recurrence structure of EEG resting-state activity.

机构信息

Biomedical Engineering Group, University of Valladolid, Valladolid, Spain. Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina CIBER-BBN, Valladolid, Spain. Author to whom any correspondence should be addressed.

出版信息

J Neural Eng. 2020 Feb 25;17(1):016071. doi: 10.1088/1741-2552/ab71e9.

DOI:10.1088/1741-2552/ab71e9

PMID:32000144

Abstract

OBJECTIVE

Mild cognitive impairment (MCI) and dementia due to Alzheimer's disease (AD) have been shown to induce perturbations to normal neuronal behavior and disrupt neuronal networks. Recent work suggests that the dynamic properties of resting-state neuronal activity could be affected by MCI and AD-induced neurodegeneration. The aim of the study was to characterize these properties from different perspectives: (i) using the Kullback-Leibler divergence (KLD), a measure of non-stationarity derived from the continuous wavelet transform; and (ii) using the entropy of the recurrence point density ([Formula: see text]) and the median of the recurrence point density ([Formula: see text]), two novel metrics based on recurrence quantification analysis.

APPROACH

KLD, [Formula: see text] and [Formula: see text] were computed for 49 patients with dementia due to AD, 66 patients with MCI due to AD and 43 cognitively healthy controls from 60 s electroencephalographic (EEG) recordings with a 10 s sliding window with no overlap. Afterwards, we tested whether the measures reflected alterations to normal neuronal activity induced by MCI and AD.

MAIN RESULTS

Our results showed that frequency-dependent alterations to normal dynamic behavior can be found in patients with MCI and AD, both in non-stationarity and recurrence structure. Patients with MCI showed signs of patterns of abnormal state recurrence in the theta (4-8 Hz) and beta (13-30 Hz) frequency bands that became more marked in AD. Moreover, abnormal non-stationarity patterns were found in MCI patients, but not in patients with AD in delta (1-4 Hz), alpha (8-13 Hz), and gamma (30-70 Hz).

SIGNIFICANCE

The alterations in normal levels of non-stationarity in patients with MCI suggest an initial increase in cortical activity during the development of AD. This increase could possibly be due to an impairment in neuronal inhibition that is not present during later stages. MCI and AD induce alterations to the recurrence structure of cortical activity, suggesting that normal state switching during rest may be affected by these pathologies.

摘要

目的

轻度认知障碍（MCI）和阿尔茨海默病（AD）引起的痴呆已被证明会引起正常神经元行为的波动，并破坏神经元网络。最近的研究表明，静息状态神经元活动的动态特性可能受到 MCI 和 AD 引起的神经退行性变的影响。本研究的目的是从不同角度描述这些特性：（i）使用 Kullback-Leibler 散度（KLD），这是一种源自连续小波变换的非平稳性度量；（ii）使用递归点密度的熵（[Formula: see text]）和递归点密度的中位数（[Formula: see text]），这两个基于递归量化分析的新指标。

方法

对 49 例 AD 所致痴呆患者、66 例 AD 所致 MCI 患者和 43 例认知正常对照者的 60 s 脑电图（EEG）记录进行 KLD、[Formula: see text]和[Formula: see text]计算，滑动窗口为 10 s，无重叠。然后，我们测试这些指标是否反映了 MCI 和 AD 引起的正常神经元活动的改变。

主要结果

我们的结果表明，MCI 和 AD 患者的正常动态行为的频率依赖性改变可以在非平稳性和递归结构中找到。MCI 患者在θ（4-8 Hz）和β（13-30 Hz）频段表现出异常状态的递归模式的迹象，而在 AD 中则更为明显。此外，在 MCI 患者中发现了异常的非平稳性模式，但在 AD 患者中未发现 δ（1-4 Hz）、α（8-13 Hz）和γ（30-70 Hz）频段。