Evidence map›Paper›PMID 32795964›Full record

ArticleNeuroImage. Clinical2020

Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness.

Corinne A Bareham, Neil Roberts, Judith Allanson, Peter J A Hutchinson, John D Pickard, David K Menon, Srivas Chennu

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Clinical Diagnostic and Prognostic Value of Residual Language Learning Ability in Patients with Disorders of Consciousness.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  8. Article
  9. [Applications and prospects of electroencephalography technology in neurorehabilitation assessment and treatment].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. Evolutionary origin of alpha rhythms in vertebrates.Frontiers in behavioral neuroscience · 2024
    Review
  14. Article
  15. Behavioral scales variability in patients with prolonged disorders of consciousness.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Article
  16. Neural coding of autonomic functions in different states of consciousness.Journal of neuroengineering and rehabilitation · 2023
    Observational
  17. Review
  18. Article
  19. Article
  20. Article
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

7 authors at 3 institutions in 1 country.

Corinne A BarehamDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom. Electronic address: corinne.bareham@gmail.com.
Neil RobertsSawbridgeworth Medical Services, Jacobs & Gardens Neuro Centres, Sawbridgeworth, United Kingdom.
Judith AllansonCambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom.
Peter J A HutchinsonDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
John D PickardDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
David K MenonDivision of Anaesthesia, University of Cambridge, Cambridge, United Kingdom.
Srivas ChennuDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom; School of Computing, University of Kent, Canterbury, United Kingdom.
University of Cambridge · GBCambridge University Hospitals NHS Foundation Trust · GBUniversity of Kent · GB

Funding

Department of HealthWellcome Trust
6 · The paper itself

Abstract

Providing an accurate prognosis for prolonged disorder of consciousness (pDOC) patients remains a clinical challenge. Large cross-sectional studies have demonstrated the diagnostic and prognostic value of functional brain networks measured using high-density electroencephalography (hdEEG). Nonetheless, the prognostic value of these neural measures has yet to be assessed by longitudinal follow-up. We address this gap by assessing the utility of hdEEG to prognosticate long-term behavioural outcome, employing longitudinal data collected from a cohort of patients assessed systematically with resting hdEEG and the Coma Recovery Scale-Revised (CRS-R) at the bedside over a period of two years. We used canonical correlation analysis to relate clinical (including CRS-R scores combined with demographic variables) and hdEEG variables to each other. This analysis revealed that the patient's age, and the hdEEG theta band power and alpha band connectivity, contributed most significantly to the relationship between hdEEG and clinical variables. Further, we found that hdEEG measures recorded at the time of assessment augmented clinical measures in predicting CRS-R scores at the next assessment. Moreover, the rate of hdEEG change not only predicted later changes in CRS-R scores, but also outperformed clinical measures in terms of prognostic power. Together, these findings suggest that improvements in functional brain networks precede changes in behavioural awareness in pDOC. We demonstrate here that bedside hdEEG assessments conducted at specialist nursing homes are feasible, have clinical utility, and can complement clinical knowledge and systematic behavioural assessments to inform prognosis and care.

Indexed as

ConsciousnessConsciousness DisordersElectroencephalographyComaCross-Sectional StudiesHumansPrognosisComaDisorders of consciousnessEEGNatural history studies (prognosis)Prognosis

Identifiers

PMID32795964
PMCPMC7426558
OpenAlexW3047398369

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.