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Anatomical Connectivity Influences both Intra- and Inter-Brain Synchronizations

Overview of attention for article published in PLOS ONE, May 2012
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Title
Anatomical Connectivity Influences both Intra- and Inter-Brain Synchronizations
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0036414
Pubmed ID
Authors

Guillaume Dumas, Mario Chavez, Jacqueline Nadel, Jacques Martinerie

Abstract

Recent development in diffusion spectrum brain imaging combined to functional simulation has the potential to further our understanding of how structure and dynamics are intertwined in the human brain. At the intra-individual scale, neurocomputational models have already started to uncover how the human connectome constrains the coordination of brain activity across distributed brain regions. In parallel, at the inter-individual scale, nascent social neuroscience provides a new dynamical vista of the coupling between two embodied cognitive agents. Using EEG hyperscanning to record simultaneously the brain activities of subjects during their ongoing interaction, we have previously demonstrated that behavioral synchrony correlates with the emergence of inter-brain synchronization. However, the functional meaning of such synchronization remains to be specified. Here, we use a biophysical model to quantify to what extent inter-brain synchronizations are related to the anatomical and functional similarity of the two brains in interaction. Pairs of interacting brains were numerically simulated and compared to real data. Results show a potential dynamical property of the human connectome to facilitate inter-individual synchronizations and thus may partly account for our propensity to generate dynamical couplings with others.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 262 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 2%
Italy 2 <1%
Canada 2 <1%
Spain 2 <1%
United States 2 <1%
Finland 2 <1%
United Kingdom 2 <1%
Czechia 1 <1%
France 1 <1%
Other 5 2%
Unknown 239 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 70 27%
Researcher 69 26%
Student > Master 34 13%
Professor > Associate Professor 10 4%
Professor 10 4%
Other 37 14%
Unknown 32 12%
Readers by discipline Count As %
Psychology 75 29%
Neuroscience 42 16%
Agricultural and Biological Sciences 29 11%
Computer Science 20 8%
Engineering 15 6%
Other 36 14%
Unknown 45 17%