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Emergence of β and γ networks following multisensory training

View ORCID ProfileDaria La Rocca, View ORCID ProfilePhilippe Ciuciu, View ORCID ProfileDenis Alexander Engemann, View ORCID ProfileVirginie van Wassenhove
doi: https://doi.org/10.1101/560235
Daria La Rocca
aCEA/DRF/Joliot, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
bINRIA, Parietal team, Université Paris-Saclay, 91120 Palaiseau, France
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  • ORCID record for Daria La Rocca
Philippe Ciuciu
aCEA/DRF/Joliot, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
bINRIA, Parietal team, Université Paris-Saclay, 91120 Palaiseau, France
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Denis Alexander Engemann
aCEA/DRF/Joliot, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
bINRIA, Parietal team, Université Paris-Saclay, 91120 Palaiseau, France
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Virginie van Wassenhove
aCEA/DRF/Joliot, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
cCognitive Neuroimaging Unit, INSERM, Université Paris-Sud, Université Paris-Saclay, NeuroSpin center, 91191 Gif-sur-Yvette, France
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  • ORCID record for Virginie van Wassenhove
  • For correspondence: virginie.van.wassenhove@gmail.com
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Abstract

Our perceptual reality relies on inferences about the causal structure of the world given by multiple sensory inputs. In ecological settings, multisensory events that cohere in time and space benefit inferential processes: hearing and seeing a speaker enhances speech comprehension, and the acoustic changes of flapping wings naturally pace the motion of a flock of birds. Here, we asked how a few minutes of (multi)sensory training could shape cortical interactions in a subsequent perceptual task, and investigated oscillatory activity and functional connectivity as a function of sensory history in training. Human participants performed a visual motion coherence discrimination task while being recorded with magnetoencephalography (MEG). Three groups of participants performed the same task with visual stimuli only, while listening to acoustic textures temporally comodulated with the strength of visual motion coherence, or with auditory noise uncorrelated with visual motion. The functional connectivity patterns before and after training were contrasted to resting-state networks to assess the variability of common task-relevant networks, and the emergence of new functional inter-actions following training. One main finding is the emergence of a large-scale synchronization in the high γ (gamma: 60−120Hz) and β (beta:15−30Hz) bands for individuals who underwent comodulated multisensory training. The post-training network involved prefrontal, parietal, and visual cortices. Our results suggest that the integration of evidence and decision-making strategies become more efficient following congruent multisensory training through plasticity in network routing and oscillatory regimes.

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Posted February 25, 2019.
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Emergence of β and γ networks following multisensory training
Daria La Rocca, Philippe Ciuciu, Denis Alexander Engemann, Virginie van Wassenhove
bioRxiv 560235; doi: https://doi.org/10.1101/560235
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Emergence of β and γ networks following multisensory training
Daria La Rocca, Philippe Ciuciu, Denis Alexander Engemann, Virginie van Wassenhove
bioRxiv 560235; doi: https://doi.org/10.1101/560235

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