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James Pekar, Ph.D.

Associated Investigator
E-mail: pekar@jhu.edu

Publications

  • Mejia A, Nebel M, Barber A, Choe A, Pekar JJ, Caffo B, Lindquist M. Improved estimation of subject-level functional connectivity using full and partial correlation with empirical Bayes shrinkage. Neuroimage 2018; 172: 478-491.
  • Choe AS, Jones CK, Joel SE, Muschelli J, Belegu V, Caffo BS, Lindquist MA, van Zijl PC, Pekar JJ. Reproducibility and temporal structure in weekly resting-state fMRI over a period of 3.5 years. PLoS One 2015; 10: e0140134.
  • Shou H, Eloyan A, Nebel MB, Mejia A, Pekar JJ, Mostofsky S, Caffo B, Lindquist MA, Crainiceanu CM. Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI. Neuroimage 2014; 102 Pt 2: 938-944.
  • Li S, Eloyan A, Joel S, Mostofsky S, Pekar J, Bassett S, Caffo B. Analysis of group ICA-based connectivity measures from fMRI: application to Alzheimer’s disease. PLoS One 2012; 7: e49340.
  • Caffo B, Crainiceanu C, Vercuzco G, Mostofsky J, Bassett S, Pekar J. Two-stage decomposition for the analysis of functional connectivity for fMRI with application to Alzheimer’s disease risk. Neuroimage 2010 51: 1140-1149.