ArticleAnnals of clinical and translational neurology2017
Dynamic regimes of neocortical activity linked to corticothalamic integrity correlate with outcomes in acute anoxic brain injury after cardiac arrest.
Article in Annals of clinical and translational neurology, 2017. 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 56 papers.
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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
56 citing papers in PubMed, 111 citations in OpenAlex.
- Multimodal prediction of residual consciousness in the intensive care unit: the CONNECT-ME study.Brain : a journal of neurology · 2023Trial
- Covert brain complexity in the intensive care unit.Cortex; a journal devoted to the study of the nervous system and behavior · 2026Article
- Stepwise clinical and diagnostic strategy for coma of unknown origin.Intensive care medicine · 2026Review
- Fast and Slow Recovery of Consciousness Following Traumatic Brain Injury.Neurocritical care · 2026Article
- Multidimensional EEG mechanisms and explainable prediction of responsiveness to posterior parietal HD-tDCS in chronic disorders of consciousness.Frontiers in neuroscience · 2026Article
- Graph-Theoretical Signature from Neural and Vascular Signals Reveals Spinal Cord Stimulation Frequency-Specific Brain Network in Disorders of Consciousness Patients.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- Temporal network instability and low-frequency overconnectivity underlie disorders of consciousness in severe brain injury.Scientific reports · 2025Article
- Individual trajectories for recovery of neocortical activity in disorders of consciousness.PLoS computational biology · 2025Article
- EEG Response to Sedation Interruption Complements Behavioral Assessment After Severe Brain Injury.Annals of clinical and translational neurology · 2025Article
- Sleep spindles as a predictor of cognitive motor dissociation and recovery of consciousness after acute brain injury.Nature medicine · 2025Observational
- The Neural Correlates of Consciousness: A Spectral Exponent Approach to Diagnosing Disorders of Consciousness.Brain sciences · 2025Article
- Can artificial intelligence improve the diagnosis and prognosis of disorders of consciousness? A scoping review.Frontiers in artificial intelligence · 2025Review
- Revolutionizing treatment for disorders of consciousness: a multidisciplinary review of advancements in deep brain stimulation.Military Medical Research · 2024Review
- Spinal Cord Stimulation for Prolonged Disorders of Consciousness: A Study on Scalp Electroencephalography.CNS neuroscience & therapeutics · 2024Article
- Sleep-like cortical dynamics during wakefulness and their network effects following brain injury.Nature communications · 2024Review
- Restoring consciousness with pharmacologic therapy: Mechanisms, targets, and future directions.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024Review
- Review
- Multimodal Prediction of 3- and 12-Month Outcomes in ICU Patients with Acute Disorders of Consciousness.Neurocritical care · 2024Article
- Covert Tracking to Immersive Stimuli in Traumatic Brain Injury Subjects With Disorders of Consciousness.Journal of neurotrauma · 2024Article
- Common Data Elements for Disorders of Consciousness: Recommendations from the Working Group in the Pediatric Population.Neurocritical care · 2024Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveRecognition of potential for neurological recovery in patients who remain comatose after cardiac arrest is challenging and strains clinical decision making. Here, we utilize an approach that is based on physiological principles underlying recovery of consciousness and show correlation with clinical recovery after acute anoxic brain injury.
methodsA cohort study of 54 patients admitted to an Intensive Care Unit after cardiac arrest who underwent standardized bedside behavioral testing (Coma Recovery Scale - Revised [CRS-R]) during EEG monitoring. Blinded to all clinical variables, artifact-free EEG segments were selected around maximally aroused states and analyzed using a multi-taper method to assess frequency spectral content. EEG spectral features were assessed based on pre-defined categories that are linked to anterior forebrain corticothalamic integrity. Clinical outcomes were determined at the time of hospital discharge, using Cerebral Performance Categories (CPC).
resultsTen patients with ongoing seizures, myogenic artifacts or technical limitations obscuring recognition of underlying cortical dynamic activity were excluded from primary analysis. Of the 44 remaining patients with distinct EEG spectral features, 39 (88%) fit into our predefined categories. In these patients, spectral features corresponding to higher levels of anterior forebrain corticothalamic integrity correlated with higher levels of consciousness and favorable clinical outcome at the time of hospital discharge (
interpretationPredicted transitions of neocortical dynamics that indicate functional integrity of anterior forebrain corticothalamic circuitry correlate with clinical outcomes in postcardiac-arrest patients. Our results support a new biologically driven approach toward better understanding of neurological recovery after cardiac arrest.
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Registered trials
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.