Suppr超能文献

利用一种新指标——分形维数对阿尔茨海默病患者枕叶脑电图变化进行量化分析。

Quantification of occipital EEG changes in Alzheimer's disease utilizing a new metric: the fractal dimension.

作者信息

Woyshville M J, Calabrese J R

机构信息

Mood Disorders Program, University Hospitals of Cleveland, OH 44106.

出版信息

Biol Psychiatry. 1994 Mar 15;35(6):381-7. doi: 10.1016/0006-3223(94)90004-3.

Abstract

In a retrospective preliminary investigation, the occipital electroencephalogram (EEG) changes associated with Alzheimer's disease (AD) were examined using a novel quantification metric: the fractal dimension. The mean occipital EEG fractal dimension was determined for each of three patient groups representing a spectrum of clinical and EEG pathology: controls, probable AD, and autopsy-confirmed AD. The fractal dimension was significantly reduced in each of the AD groups with respect to controls (p < 0.001); and within the AD groups, it was significantly reduced in autopsy-confirmed AD relative to probable AD (p < 0.01). The fractal dimension findings paralleled the manifest EEG abnormalities in a way that suggests it has potential clinical utility in metric studies on the EEG, especially when applied to the dementias. Additionally, the EEG pathology studied here was particularly well-described by the fractal dimension, providing further support for a nonlinear approach to the background activity of the EEG.

摘要

在一项回顾性初步研究中,使用一种新的量化指标:分形维数,研究了与阿尔茨海默病(AD)相关的枕叶脑电图(EEG)变化。为代表一系列临床和EEG病理学特征的三个患者组中的每一组确定了平均枕叶EEG分形维数:对照组、可能患有AD的患者组和尸检确诊为AD的患者组。与对照组相比,每个AD组的分形维数均显著降低(p < 0.001);在AD组中,尸检确诊的AD患者的分形维数相对于可能患有AD的患者组显著降低(p < 0.01)。分形维数的研究结果与明显的EEG异常情况相似,这表明它在EEG的量化研究中具有潜在的临床应用价值,尤其是在应用于痴呆症研究时。此外,这里研究的EEG病理学特征通过分形维数得到了特别好的描述,这为采用非线性方法研究EEG的背景活动提供了进一步的支持。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验