Evidence map›Paper›PMID 25270034›Full record

ArticleAnnals of neurology2014

Preservation of electroencephalographic organization in patients with impaired consciousness and imaging-based evidence of command-following.

Peter B Forgacs, Mary M Conte, Esteban A Fridman, Henning U Voss, Jonathan D Victor, Nicholas D Schiff

Registry-linked trialAbstract read
In one paragraph

Article in Annals of neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02732288 (Exploratory Study of Melatonin Induced Sleep Regularization in Severe Brain Injury), which is not on this map. Cited by 78 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 3 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.

NCT02732288 naterminatednot on this mapstarted 2016, after this paper: background citation

Exploratory Study of Melatonin Induced Sleep Regularization in Severe Brain Injury

TypeinterventionalSponsorRockefeller UniversityRan2016 to 2018Enrolled1ConditionsDisorders of ConsciousnessArmsmelatonin
3 · Its place in the literature

Who cites it

78 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Care pathways for individuals with post-anoxic disorder of consciousness (CaPIADoC): an inter-society Consensus Conference.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Covert brain complexity in the intensive care unit.Cortex; a journal devoted to the study of the nervous system and behavior · 2026
    Article
  7. Article
  8. Brain-computer interface: an update for the clinicians.Frontiers in human neuroscience · 2026
    Review
  9. Article
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  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. Covert consciousness.NeuroRehabilitation · 2024
    Article

18 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Peter B ForgacsThe Rockefeller University, Weill Cornell Medical College, New York, NY; Feil Family Brain and Mind Research Institute, Department of Neurology, Weill Cornell Medical College, New York, NY.
Mary M Conte
Esteban A Fridman
Henning U Voss
Jonathan D Victor
Nicholas D Schiff

Funding

Clinical and Translational Science CenterUL1TR000457 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI IMPERATO-MCGINLEY, JULIANNE L · 2012 to 2016
$46.0M
Transforming Translational Science and Education to Benefit Human HealthUL1TR000043 · NCATS · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY · 2012 to 2015
$26.8M
Mechanisms of recovery following severe brain injuryR01HD051912 · NICHD · WEILL MEDICAL COLL OF CORNELL UNIV · PI SCHIFF, NICHOLAS D · 2008 to 2012
$2.1M
NCATS NIH HHS UL1 TR000043NCATS NIH HHS UL1 TR000457NICHD NIH HHS HD51912NICHD NIH HHS R01 HD051912
6 · The paper itself

Abstract

objectiveStandard clinical characterization of patients with disorders of consciousness (DOC) relies on observation of motor output and may therefore lead to the misdiagnosis of vegetative state or minimally conscious state in patients with preserved cognition. We used conventional electroencephalographic (EEG) measures to assess a cohort of DOC patients with and without functional magnetic resonance imaging (fMRI)-based evidence of command-following, and correlated the findings with standard clinical behavioral evaluation and brain metabolic activity.

methodsWe enrolled 44 patients with severe brain injury. Behavioral diagnosis was established using standardized clinical assessments. Long-term EEG recordings were analyzed to determine wakeful background organization and presence of elements of sleep architecture. A subset of patients had fMRI testing of command-following using motor imagery paradigms (26 patients) and resting brain metabolism measurement using (18) fluorodeoxyglucose positron emission tomography (31 patients).

resultsAll 4 patients with fMRI evidence of covert command-following consistently demonstrated well-organized EEG background during wakefulness, spindling activity during sleep, and relative preservation of cortical metabolic activity. In the entire cohort, EEG organization and overall brain metabolism showed no significant association with bedside behavioral testing, except in a few cases when EEG was severely abnormal.

interpretationThese findings suggest that conventional EEG is a simple strategy that complements behavioral and imaging characterization of DOC patients. Preservation of specific EEG features may be used to assess the likelihood of unrecognized cognitive abilities in severely brain-injured patients with very limited or no motor responses.

Indexed as

AdolescentAdultAwarenessBrain InjuriesCohort StudiesConsciousness DisordersElectroencephalographyFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesYoung Adult

Identifiers

PMID25270034
PMCPMC4354809

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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.