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

Human Brain Mapping

Volumn 29, Issue 9, 2008, Pages 1092-1109

  Guo, Ying ^a,c   Bowman, F DuBois ^a   Kilts, Clinton ^b  

^a EMORY UNIVERSITY   (United States)

^b EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c NONE   (United States)

Author keywords

Bayesian hierarchical model; fMRI; K fold cross validation; PET; Post treatment; Prediction; Schizophrenia; Treatment decision; Treatment response

Indexed keywords

OLANZAPINE; OXYGEN 15; RISPERIDONE; WATER;

ACCURACY; ALGORITHM; ARTICLE; BAYES THEOREM; BRAIN BLOOD FLOW; BRAIN FUNCTION; CLINICAL PRACTICE; DECISION MAKING; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INFORMATION PROCESSING; MENTAL DISEASE; NEUROIMAGING; POSITRON EMISSION TOMOGRAPHY; PREDICTION; PRIORITY JOURNAL; SCHIZOPHRENIA; STATISTICAL MODEL; TASK PERFORMANCE; TREATMENT OUTCOME; WORKING MEMORY;

BAYES THEOREM; BRAIN; HUMANS; MODELS, BIOLOGICAL; POSITRON-EMISSION TOMOGRAPHY; PREDICTIVE VALUE OF TESTS; SCHIZOPHRENIA;

EID: 51449118420     PISSN: 10659471     EISSN: None     Source Type: Journal    
DOI: 10.1002/hbm.20450     Document Type: Article

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