{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Toker D"],"funding":["HHS | National Institutes of Health","HHS | NIH | National Institute of Neurological Disorders and Stroke"],"pagination":["e2024455119"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8851554"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["119(7)"],"pubmed_abstract":["Mounting evidence suggests that during conscious states, the electrodynamics of the cortex are poised near a critical point or phase transition and that this near-critical behavior supports the vast flow of information through cortical networks during conscious states. Here, we empirically identify a mathematically specific critical point near which waking cortical oscillatory dynamics operate, which is known as the edge-of-chaos critical point, or the boundary between stability and chaos. We do so by applying the recently developed modified 0-1 chaos test to electrocorticography (ECoG) and magnetoencephalography (MEG) recordings from the cortices of humans and macaques across normal waking, generalized seizure, anesthesia, and psychedelic states. Our evidence suggests that cortical inform"],"journal":["Proceedings of the National Academy of Sciences of the United States of America"],"pubmed_title":["Consciousness is supported by near-critical slow cortical electrodynamics."],"pmcid":["PMC8851554"],"funding_grant_id":["NS21135","MH111737"],"pubmed_authors":["Muthukumaraswamy S","Mateos DM","Carhart-Harris R","Vespa PM","Toker D","Monti MM","Frohlich J","D'Esposito M","Paff M","Lendner JD","Sommer FT","Knight RT","Pappas I"],"additional_accession":[]},"is_claimable":false,"name":"Consciousness is supported by near-critical slow cortical electrodynamics.","description":"Mounting evidence suggests that during conscious states, the electrodynamics of the cortex are poised near a critical point or phase transition and that this near-critical behavior supports the vast flow of information through cortical networks during conscious states. Here, we empirically identify a mathematically specific critical point near which waking cortical oscillatory dynamics operate, which is known as the edge-of-chaos critical point, or the boundary between stability and chaos. We do so by applying the recently developed modified 0-1 chaos test to electrocorticography (ECoG) and magnetoencephalography (MEG) recordings from the cortices of humans and macaques across normal waking, generalized seizure, anesthesia, and psychedelic states. Our evidence suggests that cortical inform","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Feb","modification":"2025-04-22T09:57:43.339Z","creation":"2025-04-05T23:23:06.018Z"},"accession":"S-EPMC8851554","cross_references":{"pubmed":["35145021"],"doi":["10.1073/pnas.2024455119"]}}