Paper Info
Title
Structural analysis of fMRI data: a surface-based framework for multi-subject studies.
Abstract
We present a method for fMRI data group analysis that makes the link between two distinct frameworks: surface-based techniques, which process data in the domain defined by the surface of the cortex, and structural techniques, which use object-based representations of the data as opposed to voxel-based ones. This work is a natural surface-based extension of the volume-based structural approach presented in a previous paper. A multi-scale surface-based representation of individual activation maps is first computed for each subject. Then the inter-subject matching and the activation detection decision are performed jointly by optimization of a Markovian model. Finally, a significance measure is computed in a non-parametric way for the results, in order to assess their relevance and control the risk of type I error. The method is applied on simulated and real data and the results are compared to those produced by standard analyses. The surface-based structural analysis is shown to be particularly robust to inter-subject spatial variability and to produce relevant results with good specificity and sensitivity. We also demonstrate the advantages of the surface-based approach by comparing with the results of a 3D structural analysis.
Year
DOI
Venue
2012
10.1016/j.media.2012.02.007
Medical Image Analysis
Keywords
Field
DocType
Functional magnetic resonance imaging (fMRI),Cortical analyses,Structural methods,Surface-based methods,Group analysis
Voxel,Computer vision,Markov process,Pattern recognition,Spatial variability,Artificial intelligence,Type I and type II errors,Group analysis,Activation detection,Mathematics,Structural approach
Journal
Volume
Issue
ISSN
16
5
1361-8415
Citations 
PageRank 
References 
2
0.36
32
Authors
6
Name
Order
Citations
PageRank
Grégory Operto151.46
Denis Rivière249038.17
Bernard Fertil39713.32
Rémy Bulot463.27
Jean-François Mangin586371.48
Olivier Coulon622034.76