Conditional integration as a way of measuring mediated interactions between large-scale brain networks in functional MRI

  • Authors:

  • D. CoyneI;G. Marrelec;V. Perlbarg;J. Doyon;H. Benali

  • Affiliations:

  • Inserm and UPMC Univ Paris 06, UMR, Laboratoire d'Imagerie Fonctionnelle, Paris, France and Inserm, University of Montreal, and UPMC Univ Paris 06, Laboratoire International de Neuroimagerie et Mo ...;Inserm and UPMC Univ Paris 06, UMR, Laboratoire d'Imagerie Fonctionnelle, Paris, France and Inserm, University of Montreal, and UPMC Univ Paris 06, Laboratoire International de Neuroimagerie et Mo ...;Inserm and UPMC Univ Paris 06, UMR, Laboratoire d'Imagerie Fonctionnelle, Paris, France and Inserm, University of Montreal, and UPMC Univ Paris 06, Laboratoire International de Neuroimagerie et Mo ...;Inserm and UPMC Univ Paris 06, UMR, Lab. d'Imagerie Fonctionnelle, France and Inserm, Univ. of Montreal, and UPMC Univ Paris 06, Lab. International de Neuroimagerie et Modélisation, France an ...;Inserm and UPMC Univ Paris 06, UMR, Lab. d'Imagerie Fonctionnelle, France and Inserm, Univ. of Montreal, and UPMC Univ Paris 06, Lab. International de Neuroimagerie et Modélisation, France an ...

  • Venue:
  • ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

Brain regions are thought to be organized in large-scale networks, and studying interactions within and between such networks using functional magnetic resonance imaging (fMRI) could prove relevant for understanding brain's functional organization. Such interactions can be quantified by looking at their integration, a generalized measure of correlation. However, such a measure of integration cannot distinguish between mediated and direct interactions. In this paper, we introduce the concept of conditional integration, in order to provide an index of mediated interactions between networks. We first define conditional integration, and then apply it to both simulated and real fMRI datasets. In both cases results show that mediated interactions can be identified, demonstrating the contribution of conditional integration in functional connectivity studies.