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神经计量学:脑功能障碍的计算机辅助鉴别诊断

Neurometrics: computer-assisted differential diagnosis of brain dysfunctions.

作者信息

John E R, Prichep L S, Fridman J, Easton P

机构信息

Department of Psychiatry of New York University Medical Center, New York 10016.

出版信息

Science. 1988 Jan 8;239(4836):162-9. doi: 10.1126/science.3336779.

DOI:10.1126/science.3336779
PMID:3336779
Abstract

Normative developmental equations provide reliable descriptors of brain electrical activity in people 6 to 90 years old. Healthy persons display only chance deviations beyond predicted ranges. Patients with neurological impairment, subtle cognitive dysfunctions, or psychiatric disorders (including dementia and primary depression) show a high incidence of abnormal values. The magnitude of the deviations increases with clinical severity. Different disorders are characterized by distinctive profiles of abnormal values of brain electrical features. Computerized differential classification of some of these disorders can be achieved with high accuracy. Such classification, providing objective corroboration of brain dysfunctions, may be a useful adjunct to psychiatric diagnosis, which relies primarily on subjective clinical impressions. These methods may provide independent criteria for diagnostic validity, evaluations of treatment efficacy, and more individualized therapy.

摘要

规范性发育方程为6至90岁人群的脑电活动提供了可靠的描述指标。健康人仅在超出预测范围时出现偶然偏差。患有神经功能障碍、轻微认知功能障碍或精神疾病(包括痴呆和原发性抑郁症)的患者出现异常值的发生率较高。偏差的程度随临床严重程度增加。不同的疾病具有独特的脑电特征异常值分布。其中一些疾病的计算机化鉴别分类可以高精度实现。这种分类为脑功能障碍提供了客观的佐证,可能是对主要依赖主观临床印象的精神科诊断的有用辅助。这些方法可为诊断有效性、治疗效果评估和更个体化的治疗提供独立标准。

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