The application of EEG sleep for the differential diagnosis of affective disorders.
The application of EEG sleep for the differential diagnosis of affective disorders.
复制标题
睡眠脑电图在情感障碍鉴别诊断中的应用。
DOI：
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发表时间：
1978
影响因子：
17.7
通讯作者：
Richard F. Ulrich
中科院分区：
文献类型：
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作者：
Dj Kupfer;Foster Fg;P. Coble;R. McPartland;Richard F. Ulrich
根据REM潜伏期和REM活动这两个EEG睡眠标准，作者用判别分析方法对47例原发性抑郁症和48例继发性抑郁症患者进行了区分，准确率为81%。在原发性抑郁症组中，睡眠效率、δ睡眠百分比和REM睡眠百分比在精神病和非精神病亚组之间的区分准确率为75%。REM活动和间歇性夜间觉醒准确区分两种亚型的继发性抑郁症患者在81%的水平。这些结果表明，脑电图睡眠测量可以产生重要的数据，以帮助在精神病学的鉴别诊断。
On the basis of two EEG sleep criteria, REM latency and REM activity, the authors achieved 81% accuracy in distinguishing between 47 patients with primary depression and 48 patients with secondary depression using discriminant analysis. Sleep efficiency, the percentage of delta sleep, and the percentage of REM sleep discriminated between psychotic and nonpsychotic subgroups in the group with primary depression with 75% accuracy. REM activity and intermittent nocturnal awakening accurately discriminated two subtypes of patients with secondary depression at a level of 81%. These results suggest that EEG sleep measurements can yield significant data to aid in differential diagnosis in psychiatry.