Information processing in schizophrenia and bipolar disorder: a discriminant analysis.
Information processing in schizophrenia and bipolar disorder: a discriminant analysis.
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精神分裂症和双相情感障碍的信息处理：判别分析。
DOI：
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发表时间：
1998
影响因子：
1.9
通讯作者：
H. Deng
中科院分区：
文献类型：
--
作者：
W. Tam;K. Sewell;H. Deng
精神分裂症和双相情感障碍是DSM-IV中精神障碍的两个不同类别。然而，由于症状重叠，往往难以做出鉴别诊断。在精神分裂症和双相情感障碍的分类中，一个潜在的辅助因素是信息处理模型的应用，因为精神分裂症患者和可能的双相情感障碍患者都有信息处理缺陷。在一项研究中，对三组参与者进行了计算机化的信息处理任务（称为COGLAB）：精神分裂症患者、双相情感障碍患者和正常对照组。任务包括穆勒-莱尔错觉、反应时间、大小估计、威斯康星卡片分类测试的一个变体、向后掩蔽和Asarnow连续表现。采用判别分析探讨三组间的差异。结果表明，COGLAB对精神分裂症和双相情感障碍的正确分类率为75.5%。穆勒-莱尔错觉和卡片类型上的持续性错误数量最有力地区分了这两组。
Schizophrenia and bipolar disorder are two distinct categories of mental disorders in the DSM-IV. However, it is often difficult to make a differential diagnosis because of the overlapping symptoms. A potential adjunct in the classification of schizophrenia and bipolar disorder is the application of information processing models, as patients with schizophrenia and possibly those with bipolar disorder have information processing deficits. A study was conducted in which a computerized battery of information processing tasks (called COGLAB) was administered to three participant groups: patients with schizophrenia, patients with bipolar disorder, and normal controls. The tasks included the Mueller-Lyer illusion, reaction time, size estimation, a variant of the Wisconsin Card Sorting Test, backward masking, and Asarnow continuous performance. Discriminant analyses were used to investigate the differences among the three groups. Results indicated that COGLAB correctly classified 75.5% of the cases of schizophrenia and bipolar disorder. The Mueller-Lyer illusion and the number of perseverative errors on the card sort most powerfully discriminated the two groups.
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