Abstract
In 41 patients with schizophrenia, we used neuroanatomical information derived from structural imaging to identify patients with more severe illness, characterised by high symptom burden, low processing speed, high degree of illness persistence and lower social and occupational functional capacity. Cortical folding, but not thickness or volume, showed a high discriminatory ability in correctly identifying patients with more severe illness.
Highlights
Declaration of interest L.P.: travel fellowship from Eli Lilly; support in kind from Magstim Co Ltd for a conference presentation
The use of multivariate pattern classification in neuroimaging has enabled diagnostic separation at a single patient level.[3]. We investigated whether this approach can reliably discriminate a patient with less severe illness from one with more severe illness
A sample of 41 patients with a DSM-IV diagnosis[7] of schizophrenia or schizoaffective disorder was recruited for this study
Summary
Declaration of interest L.P.: travel fellowship from Eli Lilly; support in kind from Magstim Co Ltd for a conference presentation. Prognostic prediction, in particular the ability to identify those who will do well in the long term, has proved to be a great challenge in schizophrenia.[1] Neuroimaging offers the great promise of providing objective measures of clinical utility in managing psychosis.[2] Recently, the use of multivariate pattern classification in neuroimaging has enabled diagnostic separation at a single patient level.[3] In this study, we investigated whether this approach can reliably discriminate a patient with less severe illness from one with more severe illness.
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