Shifts in Brain Dynamics and Drivers of Consciousness State Transitions
Joseph Bodenheimer, Paul Bogdan, Sérgio Pequito, Arian Ashourvan
arXiv Preprint Archive July 9, 2024 preprint
Study at a glance
AI-extracted from the abstract| Characteristics | Observational cohort |
|---|---|
| Population | Human participants undergoing fMRI under varying levels of consciousness (awake, light sedation, deep sedation, recovery) |
| Intervention | sedation |
| Topics | Philosophy of mind |
| Keywords | Q-bio.nc Q-bio.qm Brain states |
| Key findings | The spectral profile of brain dynamics, particularly the stability and frequency of oscillatory modes, changes distinctly across consciousness states, and model-identified external inputs show how stimulus-induced co-activity propagation differs across these states. |
Abstract
Understanding the neural mechanisms underlying the transitions between different states of consciousness is a fundamental challenge in neuroscience. Thus, we investigate the underlying drivers of changes during the resting-state dynamics of the human brain, as captured by functional magnetic resonance imaging (fMRI) across varying levels of consciousness (awake, light sedation, deep sedation, and recovery). We deploy a model-based approach relying on linear time-invariant (LTI) dynamical systems under unknown inputs (UI). Our findings reveal distinct changes in the spectral profile of brain dynamics - particularly regarding the stability and frequency of the system's oscillatory modes during transitions between consciousness states. These models further enable us to identify external drivers influencing large-scale brain activity during naturalistic auditory stimulation. Our findings suggest that these identified inputs delineate how stimulus-induced co-activity propagation differs across consciousness states. Notably, our approach showcases the effectiveness of LTI models under UI in capturing large-scale brain dynamic changes and drivers in complex paradigms, such as naturalistic stimulation, which are not conducive to conventional general linear model analysis. Importantly, our findings shed light on how brain-wide dynamics and drivers evolve as the brain transitions towards conscious states, holding promise for developing more accurate biomarkers of consciousness recovery in disorders of consciousness.
Comparable studies
Other observational and cohort studies on philosophy of mind, most cited first.
| Study | Year | Design | Participants |
|---|---|---|---|
| The phenomenology of near-death experiences Subjects who reported near-death experiences | 1980 | Retrospective study | n = 78 |
| Visual Phenomenology of the LSD Flashback Persons with a history of LSD use | 1983 | Observational cohort | n = 123 |
| The neurophenomenology of neutral hypnosis. Individuals of high, medium, and low hypnotizability | 2013 | Observational cohort | n = 37 |
| The Phenomenology of Acute Organic Psychosis Patients with acute organic psychosis and acute schizophrenics | 1987 | Observational cohort | n = 148 |
| EEG oscillatory states as neuro-phenomenology of consciousness as revealed from patients in vegetative and minimally conscious states. Brain-damaged patients with disorders of consciousness and healthy-conscious subjects | 2012 | Observational cohort |