Evidence map›Paper›PMID 27472071›Full record

ArticleAnnals of neurology2016

Bedside quantitative electroencephalography improves assessment of consciousness in comatose subarachnoid hemorrhage patients.

Jan Claassen, Angela Velazquez, Emma Meyers, Jens Witsch, M Cristina Falo, Soojin Park, Sachin Agarwal, J Michael Schmidt, Nicholas D Schiff, Jacobo D Sitt and 3 more

Open access · greenAbstract read
In one paragraph

Article in Annals of neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
9.4field-weighted citation impact, top 2% of its field
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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 101 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Brain-computer interface: an update for the clinicians.Frontiers in human neuroscience · 2026
    Review
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Observational
  16. Article
  17. Spontaneous subarachnoid haemorrhage.Lancet (London, England) · 2022
    Review
  18. Article
  19. Article
  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

13 authors at 3 institutions in 2 countries.

Jan ClaassenDepartment of Neurology, Columbia University, New York, NY. jc1439@columbia.edu.
Angela VelazquezDepartment of Neurology, Columbia University, New York, NY.
Emma MeyersDepartment of Neurology, Columbia University, New York, NY.
Jens WitschDepartment of Neurology, Columbia University, New York, NY.
M Cristina FaloDepartment of Neurology, Columbia University, New York, NY.
Soojin ParkDepartment of Neurology, Columbia University, New York, NY.
Sachin AgarwalDepartment of Neurology, Columbia University, New York, NY.
J Michael SchmidtDepartment of Neurology, Columbia University, New York, NY.
Nicholas D SchiffDepartment of Neurology and Neuroscience, Weill Cornell Medical College, New York, NY.
Jacobo D SittInstitute for Brain and Spinal Cord Research Center, National Institute of Health and Medical Research, Paris, France.
Lionel NaccacheInstitute for Brain and Spinal Cord Research Center, National Institute of Health and Medical Research, Paris, France.
E Sander ConnollyDepartment of Neurosurgery, Columbia University, New York, NY.
Hans-Peter FreyDepartment of Neurology, Columbia University, New York, NY.
Columbia University · USNational Institute of Health · AMCornell University · US

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024156 · NCRR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2006 to 2011
$53.0M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
BIGDATA: Causal Inference in Large-Scale Time Series with Rare and Latent EventsR01LM011826 · NLM · THE TRUSTEES OF THE STEVENS INSTITUTE OF TECHNOLOGY · PI KLEINBERG, SAMANTHA · 2013 to 2024
$3.3M
NCATS NIH HHS UL1 TR000040NCRR NIH HHS UL1 RR024156NLM NIH HHS R01 LM011826
6 · The paper itself

Abstract

objectiveAccurate behavioral assessments of consciousness carry tremendous significance in guiding management, but are extremely challenging in acutely brain-injured patients. We evaluated whether electroencephalography (EEG) and multimodality monitoring parameters may facilitate assessment of consciousness in patients with subarachnoid hemorrhage.

methodsA retrospective analysis was performed of 83 consecutively treated adults with subarachnoid hemorrhage. All patients were initially comatose and had invasive brain monitoring placed. Behavioral assessments were performed during daily interruption of sedation and categorized into 3 groups based on their best examination as (1) comatose, (2) arousable (eye opening or attending toward a stimulus), and (3) aware (command following). EEG features included spectral power and complexity measures. Comparisons were made using bootstrapping methods and partial least squares regression.

resultsWe identified 389 artifact-free EEG clips following behavioral assessments. Increasing central gamma, posterior alpha, and diffuse theta-delta oscillations differentiated patients who were arousable from those in coma. Command following was characterized by a further increase in central gamma and posterior alpha, as well as an increase in alpha permutation entropy. These EEG features together with basic neurological examinations (eg, pupillary light reflex) contributed heavily to a linear model predicting behavioral state, whereas brain physiology measures (eg, brain oxygenation), structural injury, and clinical course added less.

interpretationEEG measures of behavioral states provide distinctive signatures that complement behavioral assessments of patients with subarachnoid hemorrhage shortly after the injury. Our data support the hypothesis that impaired connectivity of cortex with both central thalamus and basal forebrain underlies decreasing levels of consciousness. Ann Neurol 2016;80:541-553.

Indexed as

AgedComaConsciousness DisordersElectroencephalographyFemaleHumansMaleMiddle AgedNeurologic ExaminationNeurophysiological MonitoringPoint-of-Care TestingRetrospective StudiesSubarachnoid Hemorrhage

Identifiers

PMID27472071
PMCPMC5042849
OpenAlexW2511160365

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.