Evidence map›Paper›PMID 38811512›Full record

ArticleNeurocritical care2024

Resting-State EEG Signature of Early Consciousness Recovery in Comatose Patients with Traumatic Brain Injury.

Ayham Alkhachroum, Emilia Fló, Brian Manolovitz, Holly Cohan, Berje Shammassian, Danielle Bass, Gabriela Aklepi, Esther Monexe, Pardis Ghamasaee, Evie Sobczak and 12 more

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Neurocritical care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07544602 (Music Therapy for Comatose Brain Injured Patients), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT07544602 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Music Therapy for Comatose Brain Injured Patients

Typeobservational_patient_registrySponsorMercy Health OhioRan2026 to 2028Enrolled35ConditionsTraumatic Brain Injury
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Trial
  3. Article
  4. Electroencephalography and Bispectral Index Reactivity to Predict Outcome in Unconscious Patients with Acute Severe Traumatic Brain Injury: A Prospective Observational Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026
    Article
  5. Article
  6. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Ayham AlkhachroumDivision of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA. axa2610@med.miami.edu.ORCID 0000-0003-0352-5913
Emilia FlóInstitut du Cerveau-Paris Brain Institute, Sorbonne Université, Paris, France.
Brian ManolovitzDivision of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA.
Holly CohanDivision of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA.
Berje ShammassianDivision of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA.
Danielle BassDivision of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA.
Gabriela AklepiDivision of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA.
Esther MonexeDivision of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA.
Pardis GhamasaeeDivision of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA.
Evie SobczakDivision of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA.
Daniel SamanoDivision of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA.
Ana Bolaños SaavedraDivision of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA.
Nina MassadDivision of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA.
Mohan KottapallyDivision of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA.
Amedeo MerendaDivision of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA.
Joacir Graciolli CordeiroDepartment of Neurosurgery, University of Miami, Miami, FL, USA.
Jonathan JagidDepartment of Neurosurgery, University of Miami, Miami, FL, USA.
Andres M KannerDivision of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA.
Tatjana RundekDivision of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA.
Kristine O'PhelanDivision of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA.
Jan ClaassenDepartment of Neurology, Columbia University, New York, NY, USA.
Jacobo D SittInstitut du Cerveau-Paris Brain Institute, Sorbonne Université, Paris, France.

Funding

MUSICA - MUsic and Speech Induced Cerebral ActivationK23NS126577 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Ayham Alkhachroum · 2022 to 2026
$910k
NIH/NINDS K23NS126577NINDS NIH HHS K23 NS126577
6 · The paper itself

Abstract

backgroundResting-state electroencephalography (rsEEG) is usually obtained to assess seizures in comatose patients with traumatic brain injury (TBI). We aim to investigate rsEEG measures and their prediction of early recovery of consciousness in patients with TBI.

methodsThis is a retrospective study of comatose patients with TBI who were admitted to a trauma center (October 2013 to January 2022). Demographics, basic clinical data, imaging characteristics, and EEGs were collected. We calculated the following using 10-min rsEEGs: power spectral density, permutation entropy (complexity measure), weighted symbolic mutual information (wSMI, global information sharing measure), Kolmogorov complexity (Kolcom, complexity measure), and heart-evoked potentials (the averaged EEG signal relative to the corresponding QRS complex on electrocardiography). We evaluated the prediction of consciousness recovery before hospital discharge using clinical, imaging, and rsEEG data via a support vector machine.

resultsWe studied 113 of 134 (84%) patients with rsEEGs. A total of 73 (65%) patients recovered consciousness before discharge. Patients who recovered consciousness were younger (40 vs. 50 years, p = 0.01). Patients who recovered also had higher Kolcom (U = 1688, p = 0.01), increased beta power (U = 1,652 p = 0.003) with higher variability across channels (U = 1534, p = 0.034) and epochs (U = 1711, p = 0.004), lower delta power (U = 981, p = 0.04), and higher connectivity across time and channels as measured by wSMI in the theta band (U = 1636, p = 0.026; U = 1639, p = 0.024) than those who did not recover. The area under the receiver operating characteristic curve for rsEEG was higher than that for clinical data (using age, motor response, pupil reactivity) and higher than that for the Marshall computed tomography classification (0.69 vs. 0.66 vs. 0.56, respectively; p < 0.001).

conclusionsWe describe the rsEEG signature in recovery of consciousness prior to discharge in comatose patients with TBI. rsEEG measures performed modestly better than the clinical and imaging data in predicting recovery.

Indexed as

Brain Injuries, TraumaticComaElectroencephalographyRecovery of FunctionAdultAgedConsciousnessFemaleHumansMaleMiddle AgedRetrospective StudiesYoung AdultComaElectroencephalogramResting stateTraumatic brain injury

Identifiers

PMID38811512

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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.