ArticleCortex; a journal devoted to the study of the nervous system and behavior2022
Electrophysiological correlates of thalamocortical function in acute severe traumatic brain injury.
Article in Cortex; a journal devoted to the study of the nervous system and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06321146 (Evaluation of EEG Power Spectrum in Patients With Traumatic Coma), which is not on this map. Cited by 21 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Evaluation of EEG Power Spectrum in Patients With Traumatic Coma
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A methodological guideline for consciousness assessment via neural electrophysiological activity.Military Medical Research · 2025Guideline
- Resting-state EEG for continuous prognostic monitoring and prediction of coma recovery after acute brain injury.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026Article
- Temporal Interference Stimulation of Centromedian-Parafascicular Complex in Disorders of Consciousness: A Pilot Study.Annals of clinical and translational neurology · 2026Article
- Updates in Management of Acute Disorders of Consciousness After Traumatic Injury.Brain sciences · 2026Review
- Outcomes in Traumatic Brain Injury: Can Electroencephalography Predict the Unpredictable?Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026Article
- Stepwise clinical and diagnostic strategy for coma of unknown origin.Intensive care medicine · 2026Review
- Disorders of consciousness diagnosis, interventions, and prognostication for the intensivist: Report of the 2025 ISICEM roundtable.Intensive care medicine · 2026Review
- EEG Response to Sedation Interruption Complements Behavioral Assessment After Severe Brain Injury.Annals of clinical and translational neurology · 2025Article
- Revolutionizing treatment for disorders of consciousness: a multidisciplinary review of advancements in deep brain stimulation.Military Medical Research · 2024Review
- Recovery of consciousness after acute brain injury: a narrative review.Journal of intensive care · 2024Review
- Restoring consciousness with pharmacologic therapy: Mechanisms, targets, and future directions.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024Review
- Disclosing Results of Tests for Covert Consciousness: A Framework for Ethical Translation.Neurocritical care · 2024Review
- Review
- Cognitive Motor Dissociation: Gap Analysis and Future Directions.Neurocritical care · 2024Article
- Twenty-four-hour rhythmicities in disorders of consciousness are associated with a favourable outcome.Communications biology · 2023Article
- Injury patterns associated with cognitive motor dissociation.Brain : a journal of neurology · 2023Article
- Measuring Consciousness in the Intensive Care Unit.Neurocritical care · 2023Article
- Prognosis of consciousness disorders in the intensive care unit.Presse medicale (Paris, France : 1983) · 2023Review
- Conventional and Investigational Approaches Leveraging Clinical EEG for Prognosis in Acute Disorders of Consciousness.Seminars in neurology · 2022Review
- Behavioral Assessment of Patients with Disorders of Consciousness.Seminars in neurology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Tools assaying the neural networks that modulate consciousness may facilitate tracking of recovery after acute severe brain injury. The ABCD framework classifies resting-state EEG into categories reflecting levels of thalamocortical network function that correlate with outcome in post-cardiac arrest coma. In this longitudinal cohort study, we applied the ABCD framework to 20 patients with acute severe traumatic brain injury requiring intensive care (12 of whom were also studied at ≥6-months post-injury) and 16 healthy controls. We tested four hypotheses: 1) EEG ABCD classifications are spatially heterogeneous and temporally variable; 2) ABCD classifications improve longitudinally, commensurate with the degree of behavioral recovery; 3) ABCD classifications correlate with behavioral level of consciousness; and 4) the Coma Recovery Scale-Revised arousal facilitation protocol yields improved ABCD classifications. Channel-level EEG power spectra were classified based on spectral peaks within pre-defined frequency bands: 'A' = no peaks above delta (<4 Hz) range (complete thalamocortical disruption); 'B' = theta (4-8 Hz) peak (severe thalamocortical disruption); 'C' = theta and beta (13-24 Hz) peaks (moderate thalamocortical disruption); or 'D' = alpha (8-13 Hz) and beta peaks (normal thalamocortical function). Acutely, 95% of patients demonstrated 'D' signals in at least one channel but exhibited within-session temporal variability and spatial heterogeneity in the proportion of different channel-level ABCD classifications. By contrast, healthy participants and patients at follow-up consistently demonstrated signals corresponding to intact thalamocortical network function. Patients demonstrated longitudinal improvement in ABCD classifications (p < .05) and ABCD classification distinguished patients with and without command-following in the subacute-to-chronic phase of recovery (p < .01). In patients studied acutely, ABCD classifications improved after the Coma Recovery Scale-Revised arousal facilitation protocol (p < .05) but did not correspond with behavioral level of consciousness. These findings support the use of the ABCD framework to characterize channel-level EEG dynamics and track fluctuations in functional thalamocortical network integrity in spatial detail.
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Registered trials
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