Exploring functional connectivity of the human brain using multivariate information analysis

Barry Chai, Dirk B. Walther, Diane M. Beck, Fei Fei Li

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

Abstract

In this study, we present a new method for establishing fMRI pattern-based functional connectivity between brain regions by estimating their multivariate mutual information. Recent advances in the numerical approximation of high-dimensional probability distributions allow us to successfully estimate mutual information from scarce fMRI data. We also show that selecting voxels based on the multivariate mutual information of local activity patterns with respect to ground truth labels leads to higher decoding accuracy than established voxel selection methods. We validate our approach with a 6-way scene categorization fMRI experiment. Multivariate information analysis is able to find strong information sharing between PPA and RSC, consistent with existing neuroscience studies on scenes. Furthermore, an exploratory whole-brain analysis uncovered other brain regions that share information with the PPA-RSC scene network.

Original languageEnglish (US)
Title of host publicationAdvances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference
Pages270-278
Number of pages9
StatePublished - Dec 1 2009
Event23rd Annual Conference on Neural Information Processing Systems, NIPS 2009 - Vancouver, BC, Canada
Duration: Dec 7 2009Dec 10 2009

Publication series

NameAdvances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference

Other

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

Fingerprint

Information analysis
Brain
Probability distributions
Decoding
Labels
Magnetic Resonance Imaging
Experiments

ASJC Scopus subject areas

  • Information Systems

Cite this

Chai, B., Walther, D. B., Beck, D. M., & Li, F. F. (2009). Exploring functional connectivity of the human brain using multivariate information analysis. In Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference (pp. 270-278). (Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference).

Exploring functional connectivity of the human brain using multivariate information analysis. / Chai, Barry; Walther, Dirk B.; Beck, Diane M.; Li, Fei Fei.

Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 2009. p. 270-278 (Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference).

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

Chai, B, Walther, DB, Beck, DM & Li, FF 2009, Exploring functional connectivity of the human brain using multivariate information analysis. in Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference, pp. 270-278, 23rd Annual Conference on Neural Information Processing Systems, NIPS 2009, Vancouver, BC, Canada, 12/7/09.
Chai B, Walther DB, Beck DM, Li FF. Exploring functional connectivity of the human brain using multivariate information analysis. In Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 2009. p. 270-278. (Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference).
Chai, Barry ; Walther, Dirk B. ; Beck, Diane M. ; Li, Fei Fei. / Exploring functional connectivity of the human brain using multivariate information analysis. Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 2009. pp. 270-278 (Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference).
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