fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity

Part of Advances in Neural Information Processing Systems 22 (NIPS 2009)

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Bryan Conroy, Ben Singer, James Haxby, Peter J. Ramadge


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.