Surface-based versus volume-based fMRI group analysis: a case study

Abstract : Being able to detect reliably functional activity in a popula- tion of subjects is crucial in human brain mapping, both for the under- standing of cognitive functions in normal subjects and for the analysis of patient data. The usual approach proceeds by normalizing brain volumes to a common 3D template. However, a large part of the data acquired in fMRI aims at localizing cortical activity, and methods working on the cortical surface may provide better inter-subject registration than the standard procedures that process the data in 3D. Nevertheless, few as- sessments of the performance of surface-based (2D) versus volume-based (3D) procedures have been shown so far, mostly because inter-subject cortical surface maps are not easily obtained. In this paper we present a systematic comparison of 2D versus 3D group-level inference procedures, by using cluster-level and voxel-level statistics assessed by permutation, in random e ects (RFX) and mixed-e ects analyses (MFX). We nd that, using a voxel-level thresholding, and to some extent, cluster-level thresholding, the surface-based approach generally detects more, but smaller active regions than the corresponding volume-based approach for both RFX and MFX procedures, and that surface-based supra-threshold regions are more reproducible by bootstrap.
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Communication dans un congrès
MICCAI 2009 Functional NeuroImaging Workshop, Sep 2009, Londres, United Kingdom. 2009
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Alan Tucholka, Merlin Keller, Jean-Baptiste Poline, Alexis Roche, Bertrand Thirion. Surface-based versus volume-based fMRI group analysis: a case study. MICCAI 2009 Functional NeuroImaging Workshop, Sep 2009, Londres, United Kingdom. 2009. 〈hal-00776637〉

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