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Activity Number: 185
Type: Contributed
Date/Time: Monday, August 4, 2014 : 10:30 AM to 11:15 AM
Sponsor: Section on Statistics in Imaging
Abstract #314098
Title: Simultaneous Confidence Regions for fMRI Activations
Author(s): David Degras*+ and Martin Lindquist
Companies: DePaul University and Johns Hopkins Bloomberg School of Public Health
Keywords: brain imaging ; fMRI ; spatio-temporal modeling ; adaptive smoothing ; simultaneous confidence regions
Abstract:

This research develops a spatio-temporal modeling framework for group-level fMRI data analysis. It extends previous work of the authors in two major ways. First, an adaptive spatial smoothing procedure is introduced to regularize estimates of the group-level hemodynamic response function (HRF) obtained independently at each voxel. By taking advantage of the spatial correlation in brain activity, this regularization step can sensibly improve the estimation accuracy, in particular at the boundaries of active and inactive brain regions. Second, the authors indicate how to build simultaneous confidence regions for key model parameters (or contrasts thereof) such as the HRF amplitude viewed as a function of space. These confidence regions exploit the spatial continuity of the MR signal to circumvent the central problem of multiple comparisons.


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