Evidence map›Paper›PMID 35569326›Full record

ArticleCortex; a journal devoted to the study of the nervous system and behavior2022

Electrophysiological correlates of thalamocortical function in acute severe traumatic brain injury.

William H Curley, Yelena G Bodien, David W Zhou, Mary M Conte, Andrea S Foulkes, Joseph T Giacino, Jonathan D Victor, Nicholas D Schiff, Brian L Edlow

Registry-linked trialAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

NCT06321146 unknown statusnot on this mapstarted 2024, after this paper: background citation

Evaluation of EEG Power Spectrum in Patients With Traumatic Coma

TypeobservationalSponsorRenJi HospitalRan2024 to 2026Enrolled210ConditionsComa, Brain Injuries, Traumatic
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. 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 · 2026
    Article
  3. Article
  4. Review
  5. 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 · 2026
    Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Restoring consciousness with pharmacologic therapy: Mechanisms, targets, and future directions.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024
    Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Prognosis of consciousness disorders in the intensive care unit.Presse medicale (Paris, France : 1983) · 2023
    Review
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

William H CurleyHarvard Medical School, Boston, MA, USA; Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Yelena G BodienCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and Harvard Medical School, Charlestown, MA, USA.
David W ZhouCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Mary M ConteFeil Family Brain and Mind Research Institute, Weill Cornell Medical College, New York, NY, USA.
Andrea S FoulkesDepartment of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Joseph T GiacinoDepartment of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and Harvard Medical School, Charlestown, MA, USA; Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Jonathan D VictorFeil Family Brain and Mind Research Institute, Weill Cornell Medical College, New York, NY, USA; Department of Neurology, New York Presbyterian Hospital, New York, NY, USA.
Nicholas D SchiffFeil Family Brain and Mind Research Institute, Weill Cornell Medical College, New York, NY, USA; Department of Neurology, New York Presbyterian Hospital, New York, NY, USA.
Brian L EdlowCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA. Electronic address: bedlow@mgh.harvard.edu.

Funding

The Late Effects of TBI (LETBI) Study: Injury Patterns and Biological Markers of Post-Traumatic NeurodegenerationRF1NS115268 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Kristen Dams-O'Connor · 2019 to 2026
$10.3M
A Connectome-Based Clinical Trial Platform to Promote Early Recovery of Consciousness after Traumatic ComaDP2HD101400 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI EDLOW, BRIAN L. · 2019 to 2019
$2.5M
SILICON GRAPHICS PRISM EXTREME 128P/1TBS10RR023043 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI SORENSEN, ALMA GREGORY · 2006 to 2006
$1.5M
Brainstem Connectome Mapping to Guide Targeted Stimulant Therapy in Patients with Traumatic ComaR21NS109627 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI EDLOW, BRIAN L. · 2019 to 2020
$480k
NCCDPHP CDC HHS U48 DP000039NCRR NIH HHS S10 RR023043NICHD NIH HHS DP2 HD101400NINDS NIH HHS R21 NS109627NINDS NIH HHS RF1 NS115268
6 · The paper itself

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.

Indexed as

Brain InjuriesBrain Injuries, TraumaticComaElectroencephalographyHumansLongitudinal StudiesConsciousnessEEGIntensive care unitTraumatic brain injury

Identifiers

PMID35569326
PMCPMC9759728

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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.