Consciousness is supported by near-critical slow cortical electrodynamics

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 information processing is disrupted during unconscious states because of a transition of low-frequency cortical electric oscillations away from this critical point; conversely, we show that psychedelics may increase the information richness of cortical activity by tuning low-frequency cortical oscillations closer to this critical point. Finally, we analyze clinical electroencephalography (EEG) recordings from patients with disorders of consciousness (DOC) and show that assessing the proximity of slow cortical oscillatory electrodynamics to the edge-of-chaos critical point may be useful as an index of consciousness in the clinical setting.

Authors:

• Daniel Toker

• Ioannis Pappas

• Janna D Lendner

• Joel Frohlich

• Diego M Mateos

• Suresh Muthukumaraswamy

• Robin Carhart-Harris

• Michelle Paff

• Paul M Vespa

• Martin M Monti

• Friedrich T Sommer

• Robert T Knight

• Mark D’Esposito

Date: 2022

DOI: https://doi.org/10.1073/pnas.2024455119

View PDF

Consciousness is supported by near-critical slow cortical electrodynamics

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 information processing is disrupted during unconscious states because of a transition of low-frequency cortical electric oscillations away from this critical point; conversely, we show that psychedelics may increase the information richness of cortical activity by tuning low-frequency cortical oscillations closer to this critical point. Finally, we analyze clinical electroencephalography (EEG) recordings from patients with disorders of consciousness (DOC) and show that assessing the proximity of slow cortical oscillatory electrodynamics to the edge-of-chaos critical point may be useful as an index of consciousness in the clinical setting.

Authors:

• Daniel Toker

• Ioannis Pappas

• Janna D. Lendner

• Joel Frohlich

• Diego M. Mateos

• Suresh Muthukumaraswamy

• Robin Carhart-Harris

• Michelle Paff

• Paul M. Vespa

• Martin M. Monti

• Friedrich T. Sommer

• Robert T. Knight

• Mark D’Esposito

Date: 2022

DOI: https://doi.org/10.1073/pnas.2024455119

View PDF

Aperiodic sleep networks promote memory consolidation

Abstract:

Hierarchical synchronization of sleep oscillations establishes communication pathways to support memory reactivation, transfer, and consolidation. From an information-theoretical perspective, oscillations constitute highly structured network states that provide limited information-coding capacity. Recent findings indicate that sleep oscillations occur in transient bursts that are interleaved with aperiodic network states, which were previously considered to be random noise. We argue that aperiodic activity exhibits unique and variable spatiotemporal patterns, providing an ideal information-rich neurophysiological substrate for imprinting new mnemonic patterns onto existing circuits. We discuss novel avenues in conceptualizing and quantifying aperiodic network states during sleep to further understand their relevance and interplay with sleep oscillations in support of memory consolidation.

Authors:

• Randolph F Helfrich

• Janna D Lendner

• Robert T Knight

Date: 2021

DOI: https://doi.org/10.1016/j.tics.2021.04.009

View PDF

An electrophysiological marker of arousal level in humans

Abstract:

Deep non-rapid eye movement sleep (NREM) and general anesthesia with propofol are prominent states of reduced arousal linked to the occurrence of synchronized oscillations in the electroencephalogram (EEG). Although rapid eye movement (REM) sleep is also associated with diminished arousal levels, it is characterized by a desynchronized, ‘wake-like’ EEG. This observation implies that reduced arousal states are not necessarily only defined by synchronous oscillatory activity. Using intracranial and surface EEG recordings in four independent data sets, we demonstrate that the 1/f spectral slope of the electrophysiological power spectrum, which reflects the non-oscillatory, scale-free component of neural activity, delineates wakefulness from propofol anesthesia, NREM and REM sleep. Critically, the spectral slope discriminates wakefulness from REM sleep solely based on the neurophysiological brain state. Taken together, our findings describe a common electrophysiological marker that tracks states of reduced arousal, including different sleep stages as well as anesthesia in humans.

Authors:

• Janna D Lendner

• Randolph F Helfrich

• Bryce A Mander

• Luis Romundstad

• Jack J Lin

• Matthew P Walker

• Pal G Larsson

• Robert T Knight

Date: 2020

DOI: https://doi.org/10.7554/eLife.55092

View PDF

Bidirectional prefrontal-hippocampal dynamics organize information transfer during sleep in humans

Abstract:

How are memories transferred from short-term to long-term storage? Systems-level memory consolidation is thought to be dependent on the coordinated interplay of cortical slow waves, thalamo-cortical sleep spindles and hippocampal ripple oscillations. However, it is currently unclear how the selective interaction of these cardinal sleep oscillations is organized to support information reactivation and transfer. Here, using human intracranial recordings, we demonstrate that the prefrontal cortex plays a key role in organizing the ripple-mediated information transfer during non-rapid eye movement (NREM) sleep. We reveal a temporally precise form of coupling between prefrontal slow-wave and spindle oscillations, which actively dictates the hippocampal-neocortical dialogue and information transfer. Our results suggest a model of the human sleeping brain in which rapid bidirectional interactions, triggered by the prefrontal cortex, mediate hippocampal activation to optimally time subsequent information transfer to the neocortex during NREM sleep.

Authors:

• Randolph F Helfrich

• Janna D Lendner

• Bryce A Mander

• Heriberto Guillen

• Michelle Paff

• Lilit Mnatsakanyan

• Sumeet Vadera

• Matthew P Walker

• Jack J Lin

• Robert T Knight

Date: 2019

DOI: https://doi.org/10.1038/s41467-019-11444-x

View PDF