title: fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity.
abstract: The inter-subject alignment of functional MRI (fMRI) data is important for improving the statistical power of fMRI group analyses. In contrast to existing anatomically-based methods, we propose a novel multi-subject algorithm that derives a functional correspondence by aligning spatial patterns of functional connectivity across a set of subjects. We test our method on fMRI data collected during a movie viewing experiment. By cross-validating the results of our algorithm, we show that the correspondence successfully generalizes to a secondary movie dataset not used to derive the alignment.
authors.affiliation: Department of Electrical Engineering, Princeton University.
authors.forename: Bryan R
authors.initials: BR
authors.lastname: Conroy
authors.affiliation: Neuroscience Institute, Princeton University.
authors.forename: Benjamin D
authors.initials: BD
authors.lastname: Singer
authors.affiliation: Department of Psychology, Dartmouth College.
authors.forename: James V
authors.initials: JV
authors.lastname: Haxby
authors.affiliation: Department of Electrical Engineering, Princeton University.
authors.forename: Peter J
authors.initials: PJ
authors.lastname: Ramadge