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Multicenter Study
. 2013 Jul;11(3):367-88.
doi: 10.1007/s12021-013-9184-3.

The MCIC Collection: A Shared Repository of Multi-Modal, Multi-Site Brain Image Data From a Clinical Investigation of Schizophrenia

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Free PMC article
Multicenter Study

The MCIC Collection: A Shared Repository of Multi-Modal, Multi-Site Brain Image Data From a Clinical Investigation of Schizophrenia

Randy L Gollub et al. Neuroinformatics. .
Free PMC article

Abstract

Expertly collected, well-curated data sets consisting of comprehensive clinical characterization and raw structural, functional and diffusion-weighted DICOM images in schizophrenia patients and sex and age-matched controls are now accessible to the scientific community through an on-line data repository (coins.mrn.org). The Mental Illness and Neuroscience Discovery Institute, now the Mind Research Network (MRN, http://www.mrn.org/ ), comprised of investigators at the University of New Mexico, the University of Minnesota, Massachusetts General Hospital, and the University of Iowa, conducted a cross-sectional study to identify quantitative neuroimaging biomarkers of schizophrenia. Data acquisition across multiple sites permitted the integration and cross-validation of clinical, cognitive, morphometric, and functional neuroimaging results gathered from unique samples of schizophrenia patients and controls using a common protocol across sites. Particular effort was made to recruit patients early in the course of their illness, at the onset of their symptoms. There is a relatively even sampling of illness duration in chronic patients. This data repository will be useful to 1) scientists who can study schizophrenia by further analysis of this cohort and/or by pooling with other data; 2) computer scientists and software algorithm developers for testing and validating novel registration, segmentation, and other analysis software; and 3) educators in the fields of neuroimaging, medical image analysis and medical imaging informatics who need exemplar data sets for courses and workshops. Sharing provides the opportunity for independent replication of already published results from this data set and novel exploration. This manuscript describes the inclusion/exclusion criteria, imaging parameters and other information that will assist those wishing to use this data repository.

Figures

Figure 1
Figure 1
Relation between age and Illness Duration (ID) by site and sex. As would be expected, duration of illness and age are closely related. The scatterplot graphically illustrates that the cohorts enrolled at each of the four centers had highly overlapping age, sex and illness duration distributions.
Figure 2
Figure 2
Freesurfer segmented right and left hippocampal volumes plotted by diagnosis for each acquisition site separately. The volumes are controlled for intracranial volume using the covariance method (unstandardized residuals added to sample mean) (O’Brien et al. 2006). HC, healthy controls; SCZ, schizophrenia patients.
Figure 3
Figure 3
The SIRP reaction time (RT) data showed a significant main effect for load and diagnosis as well as their interaction (all p<0.001) reflecting the fact that patients were disproportionately affected by increases in WM load. Red markers and lines indicate schizophrenia patients and the blue matched controls (mean ± SD), averaged across subjects from three of the four sites. No RT data were available from one site due to a technical error during acquisition. Green broken lines are pointwise 95% confidence intervals.
Figure 4
Figure 4
Left hemisphere DLPFC activation during performance of the SIRP task, indexed by maximum percentage signal change averaged across all loads, plotted by diagnosis and acquisition site demonstrates the slightly greater activity in patients over controls (F(1,302)=13.28; p<0.001) controlling for the effects of site, sex and age. There were also significant effects of site F(3,302)=11.83; p<0.001) and age F(1,302)=6.99; p=0.009). Error bars represent two standard errors. HC, healthy controls; SCZ, schizophrenia patients.

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