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dc.contributor.authorLangs, Georg
dc.contributor.authorGolland, Polina
dc.contributor.authorTie, Yanmei
dc.contributor.authorRigolo, Laura
dc.contributor.authorGolby, Alexandra J.
dc.date.accessioned2012-09-21T18:20:42Z
dc.date.available2012-09-21T18:20:42Z
dc.date.issued2010-12
dc.identifier.urihttp://hdl.handle.net/1721.1/73107
dc.description.abstractMatching 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.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (P01 CA067165)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (U41RR019703)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (NIBIB NAMIC U54- EB005149)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (NCRR NAC P41-RR13218)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (CAREER Grant 0642971)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant IIS/CRCNS 0904625)en_US
dc.language.isoen_US
dc.relation.isversionofhttp://nips.cc/Conferences/2010/Program/accepted-papers.phpen_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceMIT web domainen_US
dc.titleFunctional geometry alignment and localization of brain areasen_US
dc.typeArticleen_US
dc.identifier.citationLangs 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.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorLangs, Georg
dc.contributor.mitauthorGolland, Polina
dc.relation.journalProceedings of the 24th Annual Conference on Neural Information Processing Systems (NIPS 2010)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-2516-731X
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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