Predicting the brain response to treatment using a Bayesian hierarchical model with application to a study of schizophrenia.

ABSTRACT: In vivo functional neuroimaging, including functional magnetic resonance imaging (fMRI) and positron emission tomography (PET), is becoming increasingly important in defining the pathophysiology of psychiatric disorders such as schizophrenia, major depression, and Alzheimer's disease. Furthermore, recent studies have begun to investigate the possibility of using functional neuroimaging to guide treatment selection for individual patients. By studying the changes between a patient's pre- and post-treatment brain activity, investigators are gaining insights into the impact of treatment on behavior-related neural processing traits associated with particular psychiatric disorders. Furthermore, these studies may shed light on the neural basis of response and nonresponse to specific treatments.

SUBMITTER: Guo Y 

PROVIDER: S-EPMC2757106 | biostudies-literature | 2008 Sep

REPOSITORIES: biostudies-literature