Abstract

An outstanding challenge for consciousness research is to characterize the neural signature of conscious access independently of any decisional processes. Here we present a model-based approach that uses inter-trial variability to identify the brain dynamics associated with stimulus processing. We demonstrate that, even in the absence of any task or behavior, the electroencephalographic response to auditory stimuli shows bifurcation dynamics around 250–300 milliseconds post-stimulus. Namely, the same stimulus gives rise to late sustained activity on some trials, and not on others. This late neural activity is predictive of task-related reports, and also of reports of conscious contents that are randomly sampled during task-free listening. Source localization further suggests that task-free conscious access recruits the same neural networks as those associated with explicit report, except for frontal executive components. Studying brain dynamics through variability could thus play a key role for identifying the core signatures of conscious access, independent of report.

Current knowledge on the neural basis of consciousness mostly relies on situations where people report their perception. Here, the authors provide evidence for the idea that bifurcation in brain dynamics reflects conscious perception independent of report.

Details

Title
Bifurcation in brain dynamics reveals a signature of conscious processing independent of report
Author
Sergent, Claire 1   VIAFID ORCID Logo  ; Corazzol Martina 2 ; Labouret Ghislaine 3   VIAFID ORCID Logo  ; Stockart François 4   VIAFID ORCID Logo  ; Wexler, Mark 2 ; King Jean-Rémi 5   VIAFID ORCID Logo  ; Meyniel Florent 6   VIAFID ORCID Logo  ; Pressnitzer, Daniel 5   VIAFID ORCID Logo 

 Université de Paris, INCC UMR 8002, Paris, France; CNRS, INCC UMR 8002, Paris, France (GRID:grid.4444.0) (ISNI:0000 0001 2112 9282) 
 Université de Paris, INCC UMR 8002, Paris, France (GRID:grid.4444.0); CNRS, INCC UMR 8002, Paris, France (GRID:grid.4444.0) (ISNI:0000 0001 2112 9282) 
 Université de Paris, INCC UMR 8002, Paris, France (GRID:grid.4444.0); CNRS, INCC UMR 8002, Paris, France (GRID:grid.4444.0) (ISNI:0000 0001 2112 9282); PSL University, Laboratoire de Sciences Cognitives et Psycholinguistique, Département d’Etudes Cognitives, École normale supérieure, EHESS, CNRS, Paris, France (GRID:grid.440907.e) (ISNI:0000 0004 1784 3645) 
 Université de Paris, INCC UMR 8002, Paris, France (GRID:grid.440907.e); CNRS, INCC UMR 8002, Paris, France (GRID:grid.4444.0) (ISNI:0000 0001 2112 9282) 
 PSL University, CNRS, Laboratoire des Systèmes Perceptifs, Département d’études cognitives, École normale supérieure, Paris, France (GRID:grid.4444.0) (ISNI:0000 0001 2112 9282) 
 Université Paris-Sud, Université Paris-Saclay, NeuroSpin Center, Cognitive Neuroimaging Unit, CEA, INSERM, Gif/Yvette, France (GRID:grid.5842.b) (ISNI:0000 0001 2171 2558) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2491437611
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.