Hippocampus-Specific fMRI group activation analysis with continuous m-reps

Authors:
Paul A. Yushkevich;John A. Detre;Kathy Z. Tang;Angela Hoang;Dawn Mechanic-Hamilton;María A. Fernández-Seara;Marc Korczykowski;Hui Zhang;James C. Gee
Affiliations:
Penn Image Computing and Science Laboratory, University of Pennsylvania;Center for Functional Neuroimaging, University of Pennsylvania;Center for Functional Neuroimaging, University of Pennsylvania;Center for Functional Neuroimaging, University of Pennsylvania;Center for Functional Neuroimaging, University of Pennsylvania;Center for Functional Neuroimaging, University of Pennsylvania;Center for Functional Neuroimaging, University of Pennsylvania;Penn Image Computing and Science Laboratory, University of Pennsylvania;Penn Image Computing and Science Laboratory, University of Pennsylvania
Venue:
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Year:
2006

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Abstract

A new approach to group activation analysis in fMRI studies that test hypotheses focused on specific brain structures is presented and used to analyze hippocampal activation in a visual scene encoding study. The approach leverages the cm-rep method [10] to normalize hippocampal anatomy and project intra-subject hippocampal activation maps into a common reference space, eliminating normalization errors inherent in whole-brain approaches and guaranteeing that peaks detected in the random effects activation map are indeed associated with the hippocampus. When applied to real fMRI data, the method detects more significant hippocampal activation than the established whole-brain method.