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Activity Number:
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463
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 1, 2007 : 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 - #309928 |
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Title:
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Thresholding Methods Applied on fMRI Data
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Author(s):
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Martina Pavlicova*+
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Companies:
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Columbia University
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Address:
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722 W 168th str 6th fl, New York, NY, 10032,
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Keywords:
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Abstract:
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Voxel-wise analyses are common methods for processing fMRI data. Because of the large number of hypotheses involved, finding an activation threshold is a multiple-comparisons problem. Bonferroni comparisons and cluster-based thresholding are frequently used for this purpose. We propose using a modification of a procedure that controls the proportion of false positives among the voxels declared to be activated, namely the False Discovery Rate (FDR).
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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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