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利用关联性负变对亨廷顿舞蹈症、精神分裂症和帕金森病患者进行计算机化鉴别的初步研究。

Pilot study of computerised differentiation of Huntington's disease, schizophrenic, and Parkinson's disease patients using the contingent negative variation.

作者信息

Jervis B W, Saatchi M R, Allen E M, Hudson N R, Oke S, Grimsley M

机构信息

Division of Electronic Engineering, School of Engineering Information Technology, Sheffield City Polytechnic, UK.

出版信息

Med Biol Eng Comput. 1993 Jan;31(1):31-8. doi: 10.1007/BF02446882.

Abstract

In this study a potential known as the contingent negative variation was used to differentiate between schizophrenic, Parkinson's disease (PD), Huntington's disease (HD) patients and normal control subjects. The aim was to assist diagnosis and the avoidance of false diagnosis. 20 schizophrenic, 16 PD, 11 HD and 43 normal control subjects were enrolled for this study. The discriminatory variables were generated by applying spectral analysis to pre- and post-stimulus sections of the CNV responses. The patient differentiation was achieved by using the measured variables in a discriminant analysis program. It was possible to accurately differentiate between HD, schizophrenic, PD patients and normal control subjects. It was also attempted to differentiate between HD and schizophrenic patients, HD and PD patients, and schizophrenic and PD patients. The test results indicated that the method is useful in differentiating between these patients. This study had a number of limitations. It was based on a limited number of individuals, and an analysis of medication effects on the test results and the test-retest reliability assessment could not be carried out.

摘要

在本研究中,一种名为关联性负变的电位被用于区分精神分裂症患者、帕金森病(PD)患者、亨廷顿病(HD)患者和正常对照受试者。目的是辅助诊断并避免误诊。本研究招募了20名精神分裂症患者、16名PD患者、11名HD患者和43名正常对照受试者。通过对关联性负变反应刺激前和刺激后的部分进行频谱分析来生成判别变量。通过在判别分析程序中使用测量变量来实现患者区分。能够准确区分HD患者、精神分裂症患者、PD患者和正常对照受试者。还尝试区分HD患者与精神分裂症患者、HD患者与PD患者以及精神分裂症患者与PD患者。测试结果表明该方法在区分这些患者方面是有用的。本研究存在一些局限性。它基于有限数量的个体,并且无法对药物对测试结果的影响以及重测信度评估进行分析。

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