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Abstract #2270

Reproducible Differentiation of Individual Subjects with Minimal Acquisition Time Via Resting State FMRI

Raag D. Airan1, Joshua Vogelstein2, 3, Brian S. Caffo4, James J. Pekar1, 5, Haris I. Sair1

1Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, MD, United States; 2Statistical Sciences, Duke University, Durham, NC, United States; 3Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, United States; 4Biostatistics, Johns Hopkins University, Baltimore, MD, United States; 5F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States

Resting state fMRI (rs-fMRI) has received much recent attention as a complement to task-based fMRI. While reproducibility of rs-fMRI has been well established at the group level, individual subject level analysis is desired for most clinical applications and is less well characterized. Here we establish the reproducibility of subject-level rs-fMRI data and determine that 7 minutes is sufficient to acquire the maximal rs-fMRI information for differentiating individual subjects. We see strong reproducibility of individual subject data with only 1 minute of acquisition time. Additionally, we find that brain regions yielding the most individual differentiation correspond to higher cortical processing centers.