An Overview, Challenges, and Future Directions - SAMSI

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Experiments Models Connectivity Prediction Summary Data Example Working Memory in Schizophrenia Patients N=28 subjects: 15 schizophrenia patients and 13 healthy controls fMRI Tasks: Serial Item Recognition Paradigm (SIRP) Encoding set: Subjects asked to memorize 1, 3, or 5 target digits. Probing set: Subjects sequentially shown single digit probes and asked to press a button: with their index finger, if the probe matched with their middle finger, if not. 6 runs per subject: (177 scans per run for each subject) 3 runs of working memory tasks on each of 2 days Objective: Compare working memory-related brain activity between patients and controls Data from the Biomedical Informatics Research Network (BIRN) [1]: Potkin et al. (2002), Proc. 41st Annu. Meeting Am. College Neuropsychopharm. F. D. Bowman (Emory University) SAMSI: NDA RTP, NC 10 / 77
Experiments Models Connectivity Prediction Summary Notable fMRI Data Characteristics Massive Data Sets Roughly 300,000 brain voxels for each scan at time of analysis S = 177 scans per run 6 runs (sessions) per subject T=1062 scans total per subject Over 300 million spatio-temporal data points per subject! Over 5 billion for all subjects!! Temporal correlations Scan to scan correlations Between session correlations Complex spatial correlations Correlations between neighboring voxels Long-range correlations between different brain regions Roughly 45 billion voxel pairs F. D. Bowman (Emory University) SAMSI: NDA RTP, NC 11 / 77
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An Overview, Challenges, and Future Directions - SAMSI

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