ArticleNature communications2022
Quantifying arousal and awareness in altered states of consciousness using interpretable deep learning.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.
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Who cites it
41 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Research hotspots and trends in the application of electroencephalography for assessment of disorders of consciousness: a bibliometric analysis.Frontiers in neurology · 2024Pooled it
- The neurobiology of functional neurological disorders characterised by impaired awareness.Frontiers in psychiatry · 2023Pooled it
- EEG-based Brain-Computer Interfaces for people with Disorders of Consciousness: Features and applications. A systematic review.Frontiers in human neuroscience · 2022Pooled it
- Decreased Thalamic Activity Is a Correlate for Disconnectedness during Anesthesia with Propofol, Dexmedetomidine and Sevoflurane But Not S-Ketamine.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Trial
- The Sentinel Sleep Theory: Unweaving the biological function of REM sleep.Sleep medicine: X · 2026Article
- Detecting EEG index of arousal in sleeping patients with unresponsive wakefulness syndrome.iScience · 2026Article
- Comprehensive profiling of brain dynamics during anesthesia across phylogeny.Nature neuroscience · 2026Article
- Dynamic Global and Local Enhancement of Theta-Band Functional Networks as Neural Markers of Spinal Cord Stimulation Efficacy in Disorders of Consciousness.CNS neuroscience & therapeutics · 2026Article
- Global neural oscillations underlie performance variability and attentional state fluctuations in humans.Scientific reports · 2026Article
- Quantifying State-Dependent Control Properties of Brain Dynamics from Perturbation Responses.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Reflections on Consciousness in Intensive Care.Acta paediatrica (Oslo, Norway : 1992) · 2026Review
- Histopathologic basis of a deep learning pelvic computed tomography model for prognostic prediction among patients with advanced high-grade serous ovarian carcinoma.Quantitative imaging in medicine and surgery · 2026Article
- A thalamic perspective of (un)consciousness in pharmacological and pathological states in humans.Brain communications · 2026Article
- Differential engagement of thalamic nuclei orchestrates consciousness states across anesthesia, sleep, and disorders of consciousness.Communications biology · 2025Article
- A shared central thalamus mechanism underlying diverse recoveries in disorders of consciousness.Nature communications · 2025Article
- Nonequilibrium brain dynamics elicited as the origin of perturbative complexity.PLoS computational biology · 2025Article
- Cortical signatures linked to behavior quantitatively track arousal levels.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Neural models for detection and classification of brain states and transitions.Communications biology · 2025Article
- Article
- Artificial intelligence revolutionizing anesthesia management: advances and prospects in intelligent anesthesia technology.Frontiers in medicine · 2025Review
Corrections and comments
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Authors and funding
18 authors.
Funding
Abstract
Consciousness can be defined by two components: arousal (wakefulness) and awareness (subjective experience). However, neurophysiological consciousness metrics able to disentangle between these components have not been reported. Here, we propose an explainable consciousness indicator (ECI) using deep learning to disentangle the components of consciousness. We employ electroencephalographic (EEG) responses to transcranial magnetic stimulation under various conditions, including sleep (n = 6), general anesthesia (n = 16), and severe brain injury (n = 34). We also test our framework using resting-state EEG under general anesthesia (n = 15) and severe brain injury (n = 34). ECI simultaneously quantifies arousal and awareness under physiological, pharmacological, and pathological conditions. Particularly, ketamine-induced anesthesia and rapid eye movement sleep with low arousal and high awareness are clearly distinguished from other states. In addition, parietal regions appear most relevant for quantifying arousal and awareness. This indicator provides insights into the neural correlates of altered states of consciousness.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.