JSM 2005 - Toronto

Abstract #304707

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Activity Number: 131
Type: Topic Contributed
Date/Time: Monday, August 8, 2005 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #304707
Title: P-value Adaptive Thresholding Procedure
Author(s): Martina Pavlicova*+
Companies: Columbia University
Address: 722 W 168th St, New York, NY, 10032, United States
Keywords: thresholding ; functional MRI ; false discovery rate ; multiple-comparison
Abstract:

The aim of many Functional Magnetic Resonance Imaging (FMRI) experiments is to locate regions of the brain activated by a specific visual, audio, or cognitive task. Voxelwise determination of activation is a common method for locating active regions. Because the decision is made for each (of a large number of) voxels, finding an activation threshold is a multiple-comparisons problem. We propose using modifications of the Benjamini and Hochberg (1995) procedure (BH) that account for the fact that observed images are strongly spatially correlated; the proposed procedures control the expected proportion of false positives among the voxels declared to be activated. To examine the effectiveness of the new thresholding procedure on FMRI data, we performed a simulation involving artificial-activation datasets consisting of noise plus a signal component.

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Revised March 2005