m, tytQy INFORMATION PROCESSING IN SCHIZOPHRENIA AND BIPOLAR DISORDER: A DISCRIMINANT ANALYSIS STUDY DISSERTATION
نویسنده
چکیده
Schizophrenia and bipolar disorder are two distinct categories of mental disorders in the DSM-IV. However, it is sometimes difficult to make a differential diagnosis between the two because of the overlapping symptoms. One of the approaches for classification of schizophrenia and bipolar disorder is by means of information processing models, as patients with schizophrenia and possibly those with bipolar disorder appear to have information processing deficits. A study was conducted in which a computerized battery of information processing tasks (called the COGLAB) was administered to three subject groups: patients with schizophrenia, patients with bipolar disorder, and normal controls. The tasks included Mueller-Lyer illusion, reaction time, size estimation, Wisconsin Card Sort, backward masking. and Asarnow Continuous Performance. Discriminant analysis was used to investigate the differences among the three groups. Results indicated that the COGLAB correctly classified 75.5% of the cases of schizophrenia and bipolar disorder. The results of univariate ANOVAs showed that Mueller—Lver illusion and the number of perseverative errors of Wisconsin Card Sort manifested significant differences between the two groups. The implications and limitations of this study are also discussed.
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تاریخ انتشار 2014