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[对已确诊为精神分裂症、强迫症和抑郁症患者的事件相关电位的独立成分分析]

[Analysis of independent components for event-related potentials from patients with an established diagnosis of schizophrenia, obsessive-compulsive and depressive disorders].

作者信息

Evdokimov S A, Pronina M V, Poliakova G Iu, Ponomarev V A, Poliakov Iu I, Kropotov Iu D

出版信息

Zh Vyssh Nerv Deiat Im I P Pavlova. 2014 Sep-Oct;64(5):500-9.

Abstract

We investigated the possibility to classify data from patients with different psychiatric disorders on the base of physiological measures of the brain activity. Event-related potentials during the execution of GO/NOGO task were recorded from age matched groups of patients with schizophrenia, major depression and obsessive-compulsive disorder. Separation of independent components for event-related potentials was performed by applying Independent Component Analysis method. Picked out components were used in the method of discriminant analysis to classify the data according to clinical diagnosis. Discriminant analysis of components for event-related potentials allows classifying the data of patients with a suitable amount of matches with an established diagnosis.

摘要

我们研究了基于大脑活动的生理测量对患有不同精神疾病的患者数据进行分类的可能性。在执行“走/不走”任务期间,从年龄匹配的精神分裂症、重度抑郁症和强迫症患者组中记录了事件相关电位。通过应用独立成分分析方法对事件相关电位的独立成分进行分离。挑选出的成分用于判别分析方法,以根据临床诊断对数据进行分类。对事件相关电位成分的判别分析能够以与既定诊断相匹配的适当数量对患者数据进行分类。

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