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Interindividual functional mapping: a nonlinear local approach.

Isabelle Corouge 1, * Pierre Hellier 1 Bernard Gibaud 2 Christian Barillot 1 
* Corresponding author
1 VISTA - Vision spatio-temporelle et active
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Within the scope of three-dimensional brain imaging, we propose an interindividual fusion scheme to register functional activations according to anatomical cortical structures, the sulci. This paper is based on the assumption that an important part of functional intersubject variability is encoded in anatomical variability. The aim of this paper is therefore to propose a generic framework to register functional activations according to the relevant anatomical landmarks. Compared to "classical" interindividual fusion schemes, this approach is local. It relies on a statistical sulci shape model accounting for the interindividual variability of a population of subjects and providing deformation modes relative to a reference shape (a mean sulcus). The deformation field obtained between a given sulcus and the reference sulcus is extended to a neighborhood of the given sulcus by using the thin-plate spline interpolation. It is then applied to functional activations located in the vicinity of this sulcus. This approach is compared with rigid and nonrigid registration methods. In this paper, we present results on MEG somatosensory data acquired on 18 subjects. We show that the nonlinear local fusion scheme significantly reduces the observed functional variability.
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Submitted on : Monday, January 7, 2013 - 6:17:34 PM
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Isabelle Corouge, Pierre Hellier, Bernard Gibaud, Christian Barillot. Interindividual functional mapping: a nonlinear local approach.. NeuroImage, Elsevier, 2003, 19 (4), pp.1337-48. ⟨10.1016/S1053-8119(03)00158-7⟩. ⟨inserm-00770972⟩



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