MENTAL ILLNESS IN THE ELDERLY--DIAGNOSTIC TESTING

痴呆症临床诊断的准确性受到严重限制。 该项目计划开发计算机分析脑电图仪。 (CEEG)作为一项临床测试，将有助于准确诊断 痴呆症。它包括一个五站研究计划。第一，九十 老年研究对象将被平均分成三组进行检查： 阿尔茨海默型痴呆(DAT)、多梗死性痴呆(MID)和 非痴呆法线。所有受试者都将接受严格的临床检查 评估，包括精神状态和神经心理测试， 神经学检查，以及一系列相关的实验室测试。 其次，将对每一项研究进行脑电检查 正常静息状态和小剂量服药后受试者 舒巴比妥。数字脑电数据将通过IBM个人计算机采集 脑电图仪期间附接的计算机(IBM-PC) 程序。第三，将计算光谱和相干函数 每个受试者使用IBM-PC的多个脑电通道。第四， 受试者将接受尸检，我们的神经病理诊断将 被建立起来。最后，多组逐步判别分析将 在“培训/测试”模式下进行。使用光谱和 来自每个类别中一半受试者的一致性变量，集合 将选择与这两个参数关联最强的参数 临床和尸检诊断(培训部分)。判别式 从第一个分析中开发的函数将用于 前瞻性地将受试者的另一半归入他们的 临床和尸检诊断类别(测试部分)。结果是 对这种判别分析进行分析，以确定其敏感性 脑电地形图作为痴呆诊断工具的特异性。

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.