28 research outputs found

    White matter integrity as a predictor of response to treatment in first episode psychosis

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    The integrity of brain white matter connections is central to a patient's ability to respond to pharmacological interventions. This study tested this hypothesis using a specific measure of white matter integrity, and examining its relationship to treatment response using a prospective design in patients within their first episode of psychosis. Diffusion tensor imaging data were acquired in 63 patients with first episode psychosis and 52 healthy control subjects (baseline). Response was assessed after 12 weeks and patients were classified as responders or non-responders according to treatment outcome. At this second time-point, they also underwent a second diffusion tensor imaging scan. Tract-based spatial statistics were used to assess fractional anisotropy as a marker of white matter integrity. At baseline, non-responders showed lower fractional anisotropy than both responders and healthy control subjects (P < 0.05; family-wise error-corrected), mainly in the uncinate, cingulum and corpus callosum, whereas responders were indistinguishable from healthy control subjects. After 12 weeks, there was an increase in fractional anisotropy in both responders and non-responders, positively correlated with antipsychotic exposure. This represents one of the largest, controlled investigations of white matter integrity and response to antipsychotic treatment early in psychosis. These data, together with earlier findings on cortical grey matter, suggest that grey and white matter integrity at the start of treatment is an important moderator of response to antipsychotics. These findings can inform patient stratification to anticipate care needs, and raise the possibility that antipsychotics may restore white matter integrity as part of the therapeutic response

    Neuropsychological, clinical and cognitive insight predictors of outcome in a first episode psychosis study

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    The outcome of first episode psychosis (FEP) is highly variable and difficult to predict. We studied prospectively the impact of poor insight and neuropsychological deficits on outcomes in a longitudinal cohort of 127 FEP patients. Participants were assessed on 5 domains of cognitive function and 2 domains of insight (clinical and cognitive). At 12. months, patients were assessed again for symptom severity and psychosocial function. Regression analyses revealed that cognitive insight (a measure of self-reflectiveness and self-certainty) was the best baseline predictor of overall psychopathology at 12. months whereas executive function performance at admission to the study indicated later severity of negative symptoms. Other neuropsychological and insight measures were poor predictors of psychosocial function at 1. year. The results suggest that specific neuropsychological and insight factors have separate predictive capacities indicating that they are distinct psychological processes in psychosis. Cognitive insight proved to be a useful prognostic indicator, and should be considered for future studies and as a potential focus for treatment. \ua9 2013 Elsevier B.V
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