MENTAL ILLNESS IN THE ELDERLY--DIAGNOSTIC TESTING

痴呆症临床诊断的准确性受到严重限制。 本计画拟发展电脑分析脑电描记术 （CEEG）作为一种临床试验，将有助于准确诊断 痴呆 它包括一个五站研究计划。 第一，九十 将对老年受试者进行检查，平均分为三组： 阿尔茨海默型痴呆（DAT）、多发性梗死性痴呆（MID）和 正常人 所有受试者将接受严格的临床试验， 评估，包括精神状态和神经心理测试， 神经系统检查和一系列相关的实验室检查。 其次，将对每项研究进行脑电图（EEG）检查 正常静息状态和低剂量给药后的受试者 司可巴比妥 将使用IBM Personal采集数字EEG数据 计算机（IBM-PC）连接到脑电图仪， 程序. 第三，将计算光谱和相干函数， 使用IBM-PC采集每个受试者的多个EEG通道。 四是 将对受试者进行尸检，神经病理诊断将 建立。 最后，多组逐步判别分析将 在“训练/测试”模式下进行。 使用光谱和 每个类别中一半受试者的连贯性变量， 将选择与这两者最强相关的参数 临床和尸检诊断（培训部分）。 判别 从第一次分析中开发的功能将用于 将另一半受试者前瞻性地分为两类， 临床和尸检诊断类别（测试部分）。 结果 将对该判别分析的结果进行分析，以确定灵敏度 CEEG作为痴呆症诊断工具的特异性。

The accuracy of the clinical diagnosis of dementia is severely limited. This project proposes to develop computer-analyzed electroencephalography (CEEG) as a clinical test that will aid in the accurate diagnosis of dementia. It consists of a five-stop research plan. First, ninety geriatric subjects will be examined, divided equally among three groups: those with Alzheimer-type dementia (DAT), multi-infarct dementia (MID), and non-demented normals. All subjects will undergo rigorous clinical evaluations, including mental status and neuropsychological testing, neurological examination, and a battery of relevant laboratory tests. Second, electroencephalograms (EEGs) will be performed on each of the study subjects in the normal resting state and after administration of low-dose secobarbital. Digital EEG data will be collected with an IBM Personal Computer (IBM-PC) attached to the electroencephalograph during the procedures. Third, spectra and coherence functions will be calculated for multiple EEG channels from each subject using the IBM-PC. Fourth, the subjects will be followed to autopsy, wehre neuropathologic diagnoses will be established. Finally, multi-group, stepwise discriminant analysis will be performed under a "training/testing" paradigm. Using the spectra and coherence variables from half of the subjects in each category, sets of parameters will be selected which correlate most strongly with both clinical and autopsy diagnoses (training portion). The discriminant functions developed from this first analysis will then be used to categorize prospectively the other half of the subjects into both their clinical and autopsy diagnostic categories (testing portion). The results of this discriminant analysis will be analyzed to determine the sensitivity and specificity of CEEG as a diagnostic tool for dementia.