Evidence map›Paper›PMID 38352430›Full record

ArticleResearch square2024

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

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

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In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Emilia Flo
Brian Manolovitz
Holly Marie Stradecki-Cohan
Berje Shammassian
Danielle Bass
Gabriela Aklepi
Esther Monexe
Pardis Ghamasaee
Evie Sobczak
Daniel Samano
Ana Bolaños Saavedra
Nina Massad
Mohan Kottapally
Amedeo Merenda
Joacir Graciolli Cordeiro
Jonathan Jagid
Andres M Kanner
Tatjana Rundek
Kristine O'Phelan
Jan Claassen
Jacobo Sitt

Funding

Miami Clinical and Translational Science InstituteUL1TR002736 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, KOBETZ, ERIN N · 2018 to 2022
$23.2M
STROKE INCIDENCE AND RISK FACTORS IN A TRI-ETHNIC REGIONR01NS029993 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ELKIND, MITCHELL S, SACCO, RALPH L. · 1993 to 2019
$19.2M
FAMILY STUDY OF STROKE RISK AND CAROTID ATHEROSCLEROSISR01NS040807 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BLANTON, SUSAN HALLORAN, RUNDEK, TATJANA · 2002 to 2022
$12.2M
Institutional Career Development CoreKL2TR002737 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI RUNDEK, TATJANA, SCOTT, GWENDOLYN BARBARA · 2018 to 2022
$3.6M
Disparities in Transition of Care after Acute Stroke Hospitalization: The Transition of Care Stroke Disparity Study (TCSD-S)R01MD012467 · NIMHD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ROMANO, JOSE G, RUNDEK, TATJANA · 2017 to 2021
$3.6M
RECONFIG - REcovery of CONsciousness Following Intracerebral hemorrhaGeR01NS106014 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CLAASSEN, JAN · 2019 to 2023
$3.6M
Miami Clinical and Translational Science Institute K12 ProgramK12TR004555 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ALESSIA FORNONI, Tatjana Rundek · 2023 to 2026
$3.0M
Florida Regional Coordinating Center for the NINDS Stroke Trials NetworkU24NS107267 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI JOSE G ROMANO · 2018 to 2026
$3.0M
MUSICA - MUsic and Speech Induced Cerebral ActivationK23NS126577 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Ayham Alkhachroum · 2022 to 2026
$910k
COVERT– COvert Volitional Eye Response TestR21NS128326 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ALKHACHROUM, AYHAM, CLAASSEN, JAN · 2022 to 2023
$428k
BAsIC - Brain-computer-interface practical Application in the Intensive Care unit: a pilot studyR03NS112760 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CLAASSEN, JAN · 2019 to 2020
$162k
NCATS NIH HHS K12 TR004555NCATS NIH HHS KL2 TR002737NCATS NIH HHS UL1 TR002736NIMHD NIH HHS R01 MD012467NINDS NIH HHS K23 NS126577NINDS NIH HHS R01 NS029993NINDS NIH HHS R01 NS040807NINDS NIH HHS R01 NS106014NINDS NIH HHS R03 NS112760NINDS NIH HHS R21 NS128326NINDS NIH HHS U24 NS107267
6 · The paper itself

Abstract

Background Resting-state electroencephalogram (rsEEG) is usually obtained to assess seizures in comatose patients with traumatic brain injury (TBI) patients. We aim to investigate rsEEG measures and their prediction of early recovery of consciousness in comatose TBI patients. Methods This is a retrospective study of comatose TBI patients who were admitted to a level-1 trauma center (10/2013-1/2022). Demographics, basic clinical data, imaging characteristics, and EEG data were collected. We calculated using 10-minute rsEEGs: power spectral density (PSD), permutation entropy (PE - complexity measure), weighted symbolic-mutual-information (wSMI - global information sharing measure), Kolmogorov complexity (Kolcom - complexity measure), and heart-evoked potentials (HEP - the averaged EEG signal relative to the corresponding QRS complex on electrocardiogram). We evaluated the prediction of consciousness recovery before hospital discharge using clinical, imaging, rsEEG data via Support Vector Machine with a linear kernel (SVM). Results We studied 113 (out 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, p .01). Patients who recovered consciousness had higher Kolcom (U = 1688, p = 0.01,), increased beta power (U = 1652 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 showed higher connectivity across time and channels as measured by wSMI in the theta band (U = 1636, p = .026, U = 1639, p = 0.024) than those who didn't recover. The ROC-AUC improved from 0.66 (using age, motor response, pupils' reactivity, and CT Marshall classification) to 0.69 (p < 0.001) when adding rsEEG measures. Conclusion We describe the rsEEG EEG signature in recovery of consciousness prior to discharge in comatose TBI patients. Resting-state EEG measures improved prediction beyond the clinical and imaging data.

Identifiers

PMID38352430
PMCPMC10862951

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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.