Functional geometry alignment and localization of brain areas
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Golland_Functional Geometry.pdf
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Author(s)
Langs, Georg
Golland, Polina
Tie, Yanmei
Rigolo, Laura
Golby, Alexandra J.
Date Issued
December 2010
Journal
Proceedings of the 24th Annual Conference on Neural Information Processing Systems (NIPS 2010)
Citation
Langs G., Golland P., Tie Y., Rigolo L., Golby A.J.. Functional Geometry Alignment and Localization of Brain Areas. Proceedings of the 24th Annual Conference on Neural Information Processing Systems 2010; 1:1225-1233.
Version
Author's final manuscript
Abstract
Matching functional brain regions across individuals is a challenging task, largely due to the variability in their location and extent. It is particularly difficult, but highly relevant, for patients with pathologies such as brain tumors, which can cause substantial reorganization of functional systems. In such cases spatial registration based on anatomical data is only of limited value if the goal is to establish correspondences of functional areas among different individuals, or to localize potentially displaced active regions. Rather than rely on spatial alignment, we propose to perform registration in an alternative space whose geometry is governed by the functional interaction patterns in the brain. We first embed each brain into a functional map that reflects connectivity patterns during a fMRI experiment. The resulting functional maps are then registered, and the obtained correspondences are propagated back to the two brains. In application to a language fMRI experiment, our preliminary results suggest that the proposed method yields improved functional correspondences across subjects. This advantage is pronounced for subjects with tumors that affect the language areas and thus cause spatial reorganization of the functional regions.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
http://nips.cc/Conferences/2010/Program/accepted-papers.php
