fMRI-based inter-subject cortical alignment using functional connectivity

Bryan R. Conroy, Benjamin D. Singer, James V. Haxby, Peter Jeffrey Ramadge

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationAdvances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference
Pages378-386
Number of pages9
StatePublished - Dec 1 2009
Externally publishedYes
Event23rd Annual Conference on Neural Information Processing Systems, NIPS 2009 - Vancouver, BC, Canada
Duration: Dec 7 2009Dec 10 2009

Other

Other23rd Annual Conference on Neural Information Processing Systems, NIPS 2009
CountryCanada
CityVancouver, BC
Period12/7/0912/10/09

All Science Journal Classification (ASJC) codes

  • Information Systems

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  • Cite this

    Conroy, B. R., Singer, B. D., Haxby, J. V., & Ramadge, P. J. (2009). fMRI-based inter-subject cortical alignment using functional connectivity. In Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference (pp. 378-386)