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Activity Number:
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63
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Type:
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Contributed
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Date/Time:
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Sunday, August 6, 2006 : 4:00 PM to 5:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #307535 |
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Title:
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Detecting Cerebral Activation from Functional Magnetic Resonance Imaging Data
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Author(s):
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William Baumann*+ and Ranjan Maitra
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Companies:
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Iowa State University and Iowa State University
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Address:
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1405 Maxwell Ave., Ames, IA, 50010,
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Keywords:
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Abstract:
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Functional Magnetic Resonance Imaging (fMRI) is a non-invasive radiologic tool used to detect activity in the human brain. An usual approach is to perform hypothesis-testing on a general linear model which fits the time-course sequence at a voxel to the input sequence. Multiple comparisons are then used to identify activation regions. We propose, instead, an estimation approach which fits a mixture model to the distribution of the p-value at each voxel. Mixing proportions and the parameters of the non-central t-density are estimated in a hierarchical setting which incorporates spatial context. These are then used to identify regions of activated voxels with high probability.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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