Intermittent degradation in performance in schizophrenia.

In a series of repeated trials, schizophrenic patients often fluctuate in performance. Our data suggest that it may be useful, not just to report an increased variance relative to nonschizophrenics, but to model these fluctuations concretely as transitions between a relatively normal and an abnormal cognitive state - an intermittent degradation in performance that may be related to transient abnormalities in CNS functioning. We define 'dialipsis' as a temporary substitution of a less efficient process of task performance. This phenomenon is mentioned in the literature, but the descriptions of dialipsis are heuristic rather than based on a statistical model. We present a mixture model in which the ordinary and degraded states are described by distinct ANOVA structures, each with its own task, subject and interaction effects, with transitions between them occurring at random times. We discuss ways of detecting dialipsis and comparing the mixture model statistically with alternative models.