Abstract Details
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Activity Number:
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398
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Type:
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Invited
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Date/Time:
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Tuesday, August 6, 2013 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Nonparametric Statistics
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| Abstract - #307378 |
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Title:
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Exploring Brain Activation Networks with Matrix Volume
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Author(s):
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Vadim Zipunnikov*+ and Ani Eloyan and Brian Caffo
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Companies:
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Johns Hopkins Bloomberg School of Public Health and Johns Hopkins Bloomberg School of Public Health and Johns Hopkins University
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Keywords:
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fMRI ;
matrix decompositions ;
randomized algorithms ;
brain imaging
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Abstract:
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In this talk, we discuss matrix volume, a generalization of the determinant to rectangular matrices. This relatively unexplored tool in statistical field has a lot of potential for finding scientifically vital signatures in massive data. Based on matrix volume concept, we develop a family of randomized matrix volume algorithms (RMV) to identify the most "activated" submatrices. We apply RMV to a resting state fMRI study and identify "seed" voxels, a compressed network of activated brain regions.
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Authors who are presenting talks have a * after their name.
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