Node accessibility in cortical networks during motor tasks.

Mario Chavez 1 Fabrizio De Vico Fallani 1 Miguel Valencia 2 Julio Artieda Donatella Mattia Vito Latora Fabio Babiloni
1 ARAMIS - Algorithms, models and methods for images and signals of the human brain
Inria Paris-Rocquencourt, UPMC - Université Pierre et Marie Curie - Paris 6, ICM - Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute
2 NEMESIS-CRICM - Equipe NEMESIS - Centre de Recherches de l'Institut du Cerveau et de la Moelle épinière
CRICM - Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière
Abstract : Recent findings suggest that the preparation and execution of voluntary self-paced movements are accompanied by the coordination of the oscillatory activities of distributed brain regions. Here, we use electroencephalographic source imaging methods to estimate the cortical movement-related oscillatory activity during finger extension movements. Then, we apply network theory to investigate changes (expressed as differences from the baseline) in the connectivity structure of cortical networks related to the preparation and execution of the movement. We compute the topological accessibility of different cortical areas, measuring how well an area can be reached by the rest of the network. Analysis of cortical networks reveals specific agglomerates of cortical sources that become less accessible during the preparation and the execution of the finger movements. The observed changes neither could be explained by other measures based on geodesics or on multiple paths, nor by power changes in the cortical oscillations.
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Article dans une revue
Neuroinformatics, Humana Press, 2013, 11 (3), pp.355-66. 〈10.1007/s12021-013-9185-2〉
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https://hal.inria.fr/hal-00938680
Contributeur : Olivier Colliot <>
Soumis le : mercredi 29 janvier 2014 - 15:14:17
Dernière modification le : jeudi 11 janvier 2018 - 06:25:29

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Mario Chavez, Fabrizio De Vico Fallani, Miguel Valencia, Julio Artieda, Donatella Mattia, et al.. Node accessibility in cortical networks during motor tasks.. Neuroinformatics, Humana Press, 2013, 11 (3), pp.355-66. 〈10.1007/s12021-013-9185-2〉. 〈hal-00938680〉

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