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SLEEP AND EEG DISCRIMINATION OF DEMENTIA FROM DEPRESSION

睡眠和脑电图区分痴呆和抑郁

基本信息

批准号：
3375436
负责人：
Patricia N Prinz
金额：
$ 15.23万
依托单位：
UNIVERSITY OF WASHINGTON
依托单位国家：
美国
项目类别：
财政年份：
1979
资助国家：
美国
起止时间：
1979-12-01 至 1988-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/3375436
关键词：
Alzheimer's disease REM sleep body temperature depression electroencephalography human old age (65+) human subject memory disorders mental disorder diagnosis sleep wakefulness

项目摘要

Dementia and depression are common problems in geriatric patients and account for many nursing home admissions each year. Mental function loss in the earliest stages of Alzheimer's dementia is often complicated by depression, creating a diagnostic dilemma that hampers treatment and effective coping strategies. Sleep and certain EEG measures are altered in Alzheimer's dementia, perhaps due to degeneration in cholinergic brain pathways. Our initial studies among non-depressed elderly revealed that sleep and EEG variables serve well as markers for early Alzheimer's dementia. This project seeks to confirm and expand these studies, examining these and other potential diagnostic markers in medically healthy communtiy elderly, with and without diagnosable mild Alzheimer's dementia. Sleep and EEG (frequency, power and coherence) measures will be evaluated for two desirable qualities: (1) ability to discriminate mild dementia from non-dementia and (2) ability to discriminate mild dementia from major depression. A major depression subject group will be studied in order to identify and eliminate all measures that are affected in the same way by both depression and dementia. Ability to discriminate mild dementia from non-dementia (or from major depression) will be evaluated using a series of discriminant analyses (DA). Predictor variables emerging in these DAs will be reexamined using previous subject groups in order to replicate results wherever possible. Sensitivity and specificity of the best predictor variables will be calculated. It is possible that useful diagnostic markers for the earliest stages of Alzheimer's dementia may result. A second objective is to further evaluate these predicator variables as correlates of cognitive loss using multiple regression analyses. A series of cognitive tests, covering both dementia and nondementia ranges of cognition will be examined. We hypothesize that primary neuronal degeneration may underlie both cognitive loss and also sleep and EEG changes; this hypothesis would predict that sleep and EEG markers for mild dementia diagnosis will also correlate highly with cognitive loss due to underlying organic changes.

痴呆症和抑郁症是老年患者的常见问题，每年都有很多人入住疗养院精神功能丧失在阿尔茨海默氏症的早期阶段，抑郁症，造成诊断困境，阻碍治疗，有效的应对策略。睡眠和某些脑电图测量会改变，阿尔茨海默氏痴呆症，可能是由于胆碱能脑的退化途径。我们对非抑郁老年人的初步研究显示，睡眠和脑电图变量是早期阿尔茨海默氏症的标志痴呆本项目旨在确认和扩大这些研究，检查这些和其他潜在的诊断标志物在医学健康社区老年人，有和没有诊断轻度阿尔茨海默氏痴呆症。将评价睡眠和EEG（频率、功率和相干性）指标两个理想的品质：（1）区分轻度痴呆的能力从非痴呆症和（2）区分轻度痴呆症的能力从重大萧条将研究一个重度抑郁症受试者组，查明并消除受到同样影响的所有措施，抑郁症和痴呆症区分轻度痴呆和非痴呆症（或重度抑郁症）将使用一系列判别分析（DA）。这些DA中出现的预测变量将使用以前的受试者组进行重新检查，以复制结果尽可能地。最佳预测因子的敏感性和特异性将计算变量。有可能有用的诊断阿尔茨海默氏痴呆症早期阶段的标志物可能会产生。一第二个目标是进一步评估这些预测变量，使用多元回归分析的认知丧失的相关性。一系列认知测试，涵盖痴呆和非痴呆的范围，认知将被检验。我们假设初级神经元退化可能是认知丧失以及睡眠和脑电图的基础变化;这一假设将预测睡眠和脑电图标志物轻度痴呆症的诊断也与认知丧失高度相关，潜在的有机变化。