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一种结合认知和神经生理学评估老年人的方法。

A method to combine cognitive and neurophysiological assessments of the elderly.

机构信息

San Francisco Brain Research Institute and SAM Technology, San Francisco, CA 94117, USA.

出版信息

Dement Geriatr Cogn Disord. 2011;31(1):7-19. doi: 10.1159/000322108. Epub 2010 Nov 27.

Abstract

BACKGROUND

The development of better treatments for brain diseases of the elderly will necessitate more sensitive and efficient means of repeatedly assessing an individual's neurocognitive status.

AIM

To illustrate the development of an assessment combining episodic memory and working memory tasks with simultaneous electroencephalography and evoked potential (EP) brain function measures.

METHODS

Data from matched groups of elderly subjects with mildly impaired episodic verbal memory on neuropsychological tests and those with no objective signs of impairment were used for scale development. An exploratory multivariate divergence analysis selected task performance and neurophysiological variables that best recognized impairment. Discriminant validity was then initially assessed on separate impaired and unimpaired groups.

RESULTS

Decreased response accuracy and parietal late positive component EP amplitude in the episodic memory task best characterized impaired subjects. Sensitivity in recognizing impairment in the validation analysis was 89% with 79% specificity (area under the curve = 0.94). Retest reliability was 0.89 for the unimpaired and 0.74 for the impaired validation groups.

CONCLUSION

These promising initial results suggest that with further refinement and testing, an assessment combining cognitive task performance with simultaneous neurofunctional measures could eventually provide an important benefit for clinicians and researchers.

摘要

背景

为了开发出更好的老年脑部疾病治疗方法,我们需要更敏感、更高效的手段来反复评估个体的神经认知状态。

目的

介绍一种将情景记忆和工作记忆任务与同时的脑电图和诱发电位(EP)脑功能测量相结合的评估方法的开发。

方法

我们使用了认知测试中表现出轻度情景记忆障碍的老年受试者和无客观损害迹象的匹配组数据来进行量表开发。探索性多元发散分析选择了最能识别损害的任务表现和神经生理变量。然后,我们在单独的受损和未受损组中初步评估了判别效度。

结果

情景记忆任务中反应准确性和顶叶晚正成分 EP 振幅的降低能最好地描述受损者。验证分析中识别损害的敏感性为 89%,特异性为 79%(曲线下面积=0.94)。未受损验证组的重测信度为 0.89,受损验证组为 0.74。

结论

这些初步的研究结果很有希望,表明通过进一步的改进和测试,将认知任务表现与同时的神经功能测量相结合的评估方法最终可能会为临床医生和研究人员提供重要的帮助。

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