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.