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正常和帕金森病患者短潜伏期体感诱发电位地形图的统计分析。

Statistical analysis of topographic maps of short-latency somatosensory evoked potentials in normal and parkinsonian subjects.

作者信息

Babiloni F, Babiloni C, Cecchi L, Onorati P, Salinari S, Urbano A

机构信息

Institute of Human Physiology, University of Rome, La Sapienza, Italy.

出版信息

IEEE Trans Biomed Eng. 1994 Jul;41(7):617-24. doi: 10.1109/10.301728.

DOI:10.1109/10.301728
PMID:7927382
Abstract

This work had the following objectives: i) to integrate temporal analysis (N30 peak) with power-spectrum topographic mapping of short-latency somatosensory evoked potentials (SEP's) recorded in parkinsonian and normal control subjects; and ii) to analyze with a new statistical approach the between-group topographical differences in both the time and frequency domains. The principal aim was to better determine the topography of the scalp frontal areas where the amplitude of the N30 wave was previously found to be significantly reduced in parkinsonians. The statistical procedure was based on the combined use of descriptive data analysis (DDA) and multivariate analysis. In the context of DDA, an improved version of significance probability mapping (SPM) was used by which it is possible to evaluate homo- and nonhomoscedastic data with parametric tests. The statistical evaluation of between-group differences was performed with the multivariate Hotelling's T2 test and the associated post hoc test. With this statistical procedure, it was possible to determine that the between-group statistical differences in both the temporal and power spectrum distributions were localized only in midline and contiguous contralateral frontal areas of the scalp.

摘要

这项工作有以下目标

i)将时间分析(N30波峰)与帕金森病患者和正常对照受试者记录的短潜伏期体感诱发电位(SEP)的功率谱地形图相结合;ii)用一种新的统计方法分析两组在时域和频域的地形差异。主要目的是更好地确定头皮额叶区域的地形图,此前发现帕金森病患者N30波的振幅在该区域显著降低。统计程序基于描述性数据分析(DDA)和多变量分析的联合使用。在DDA的背景下,使用了显著性概率映射(SPM)的改进版本,通过该版本可以用参数检验评估同方差和非同方差数据。用多变量Hotelling's T2检验和相关的事后检验对两组间差异进行统计评估。通过这种统计程序,可以确定两组在时间和功率谱分布上的统计差异仅局限于头皮的中线和相邻的对侧额叶区域。

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