JSM 2005 - Toronto

Abstract #303846

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 473
Type: Topic Contributed
Date/Time: Thursday, August 11, 2005 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #303846
Title: Determining Significant Connectivity by 3D Spatiotemporal Wavelet Packet Resampling of Functional Neuroimaging Data
Author(s): Rajan Patel*+ and F. DuBois Bowman
Companies: Emory University and Emory University
Address: Department of Biostatistics, Atlanta, GA, 30084, United States
Keywords: fMRI ; functional connectivity ; wavelet transform ; bootstrapping ; resampling
Abstract:

An active area of functional neuroimaging research involves examining functional relationships between spatially remote brain regions. When determining whether two brain regions exhibit significant correlation due to true functional connectivity, we must account for the background spatial correlation inherent in neuroimaging data. We define background correlation as spatiotemporal correlation in the data caused by factors other than neurophysiologically-based functional associations. We develop a 3D spatiotemporal wavelet packet resampling method, which generates surrogate data that preserves only the average background spatial correlation within an axial slice, across axial slices, and through each voxel time series while excluding the specific correlations due to true functional relationships. Our method improves upon existing wavelet-based resampling methods and extends them to 3D. We examine multisubject functional MRI data from a study that examines resting state connectivity and a study that explores functional connectivity associated with the Prisoner's Dilemma game, which is an experimental paradigm that engages neural systems involved in social cooperation.

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Revised March 2005