fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity.
Year: 2009
Type: article
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.
Source: PubMed
Authors: Bryan R Conroy, Benjamin D Singer, James V Haxby, Peter J Ramadge
Institutions: Princeton University, Dartmouth College
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
Funder: National Institutes of Health
OpenAlex ID: W2143411278