3 papers
stat.AP2015
Stability and Localization of inter-individual differences in functional connectivity
Raag D. Airan, Joshua T. Vogelstein, Jay J. Pillai +3
Much recent attention has been paid to quantifying anatomic and functional neuroimaging on the individual subject level. For optimal individual subject characterization, specific a…
stat.ME2014
Improving Reliability of Subject-Level Resting-State fMRI Parcellation with Shrinkage Estimators
Amanda F. Mejia, Mary Beth Nebel, Haochang Shou +5
A recent interest in resting state functional magnetic resonance imaging (rsfMRI) lies in subdividing the human brain into anatomically and functionally distinct regions of interes…
stat.AP2013
Homotopic Group ICA for Multi-Subject Brain Imaging Data
Juemin Yang, Ani Eloyan, Anita Barber +5
Independent Component Analysis (ICA) is a computational technique for revealing latent factors that underlie sets of measurements or signals. It has become a standard technique in…