The signatures of conscious access and phenomenology are consistent with large-scale brain communication at criticality

TL;DR

This paper presents a computational model linking conscious access to critical brain network dynamics, showing maximal information integration at criticality and identifying key regions involved in conscious awareness.

Contribution

It introduces a novel model connecting conscious access with critical brain network percolation, highlighting maximal information integration and specific regional activity during consciousness.

Findings

Maximal integrated information occurs at the critical threshold.

A posterior hotspot of high information sharing is identified.

Model replicates phenomena like backward masking and binocular rivalry.

Abstract

Conscious awareness refers to the association of information processing in the brain that is accompanied by subjective, reportable experiences. Current models of conscious access propose that sufficiently strong sensory stimuli ignite a global network of regions allowing further processing. The immense number of possible experiences indicates that brain activity associated with conscious awareness must be highly differentiated. However, information must also be integrated to account for the unitary nature of consciousness. We present a conceptual computational model that identifies conscious access with self-sustained percolation in an anatomical network. We show that if activity propagates at the critical threshold, the amount of integrated information (Phi) is maximal after conscious access, as well as other related markers. We also identify a posterior hotspot of regions with high levels of information sharing during conscious access. Finally, competitive activity spreading qualitatively describes the results of paradigms such as backward masking and binocular rivalry.