NA-MIC National Alliance for Medical Image Computing Mental Illness and Neuroscience Discovery (MIND) Consortium Data Randy L. Gollub,

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Presentation transcript:

NA-MIC National Alliance for Medical Image Computing Mental Illness and Neuroscience Discovery (MIND) Consortium Data Randy L. Gollub, MD, PhD Training Core PI, MGH

National Alliance for Medical Image Computing This dataset in perspective Clinical N~380 subjects Schizophrenics + Matched controls Reliability N = 10 MGH DTI

National Alliance for Medical Image Computing MIND Who? MCIC) Partner Sites MIND Clinical Imaging Consortium (MCIC) Partner Sites Harvard/Massachusetts General Hospital University of New Mexico University of Minnesota University of Iowa DOE Grant No. DE-FG02-99ER62764

National Alliance for Medical Image Computing MIND MCIC Why? A federally funded multi-site consortium created to advance our understanding of schizophrenia by supporting the acquisition of clinical, cognitive, genetic, morphometric, diffusion weighted and functional neuroimaging data from schizophrenia patients and matched controls using a common experimental protocol.

National Alliance for Medical Image Computing MIND What? Two data sets –Reliability n =10 travelers to all 4 sites –Clinical n = 300+ Chronic and First Episode (FE) schizophrenics and matched controls FE subjects and matched controls have follow-up data at 1 year (n = 46)

National Alliance for Medical Image Computing MIND Reliability Healthy control subjects (n = 10, age 27-60, 5 female) Scanned twice at each site within 24 hour interval T1, T2, DTI, and 4 fMRI task paradigms Goal: calibrate for clinical study

National Alliance for Medical Image Computing MIND Reliability DTI …

National Alliance for Medical Image Computing MIND CICS Over 300 subjects, Chronic and FE pts with matched controls

National Alliance for Medical Image Computing MIND MCIC DTI Patients (FE + chronic) n = 115 Controls n = 138 Demographics available upon request

National Alliance for Medical Image Computing MIND CICS DTI …

National Alliance for Medical Image Computing MIND CICS Preliminary Results Freesurfer segmentation: Putamen Thalamus Hippocampus Amygdala Caudate Morrow, et al International Congress on Schizophrenia Research, 2007

National Alliance for Medical Image Computing Freesurfer Hippocampal segmentation 1= Controls, 2= Chronic schizophrenia Log normalized volume vs. age

National Alliance for Medical Image Computing For Marty and Andy with * * * Robust differences in fMRI activation indices between schizophrenic patients and controlsGollub et al, SFN 2007