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• W1999677673 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." @default.
• W1999677673 created "2016-06-24" @default.
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• W1999677673 date "2012-07-01" @default.
• W1999677673 modified "2023-09-24" @default.
• W1999677673 title "Structural analysis of fMRI data: A surface-based framework for multi-subject studies" @default.
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• W1999677673 doi "https://doi.org/10.1016/j.media.2012.02.007" @default.
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