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Sci Rep. 2018 Jul 6;8(1):10246. doi: 10.1038/s41598-018-28467-x.

Role of inter-hemispheric connections in functional brain networks.

Author information

INSERM-Institute du Cerveau et de la Moelle Épinière, Paris, France.
Grupo Interdisciplinar de Sistemas Complejos (GISC), Madrid, Spain.
Complex System Group & GISC, Universidad Rey Juan Carlos, Madrid, Spain.
Laboratory of Biological Networks, Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid, Spain.
SCALab UMR CNRS 9193, Université de Lille 3, Villeneuve-d'Ascq, France.
INSERM-Institute du Cerveau et de la Moelle Épinière, Paris, France.
INRIA Paris, UPMC Univ. Paris 06, Paris, France.
CNRS-UMR 7225, Hôpital Pitié-Salpetrière, Paris, France.


Today the human brain can be modeled as a graph where nodes represent different regions and links stand for statistical interactions between their activities as recorded by different neuroimaging techniques. Empirical studies have lead to the hypothesis that brain functions rely on the coordination of a scattered mosaic of functionally specialized brain regions (modules or sub-networks), forming a web-like structure of coordinated assemblies (a network of networks. NoN). The study of brain dynamics would therefore benefit from an inspection of how functional sub-networks interact between them. In this paper, we model the brain as an interconnected system composed of two specific sub-networks, the left (L) and right (R) hemispheres, which compete with each other for centrality, a topological measure of importance in a networked system. Specifically, we considered functional scalp EEG networks (SEN) derived from high-density electroencephalographic (EEG) recordings and investigated how node centrality is shaped by interhemispheric connections. Our results show that the distribution of centrality strongly depends on the number of functional connections between hemispheres and the way these connections are distributed. Additionally, we investigated the consequences of node failure on hemispherical centrality, and showed how the abundance of inter-hemispheric links favors the functional balance of centrality distribution between the hemispheres.

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