Evidence map›Paper›PMID 35841909›Full record

Observational studyThe Lancet. Neurology2022

Cognitive-motor dissociation and time to functional recovery in patients with acute brain injury in the USA: a prospective observational cohort study.

Jennifer Egbebike, Qi Shen, Kevin Doyle, Caroline A Der-Nigoghossian, Lucy Panicker, Ian Jerome Gonzales, Lauren Grobois, Jerina C Carmona, Athina Vrosgou, Arshneil Kaur and 8 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in The Lancet. Neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 4 pooled it
17.9field-weighted citation impact, top 1% 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

83 citing papers in PubMed, 4 syntheses or guidelines pooled it, 122 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Pooled it
  5. Trial
  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. Article
  9. Resting-state EEG for continuous prognostic monitoring and prediction of coma recovery after acute brain injury.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
    Article
  10. Article
  11. Observational
  12. Observational
  13. Observational
  14. Article
  15. Article
  16. Review
  17. Outcomes in Traumatic Brain Injury: Can Electroencephalography Predict the Unpredictable?Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026
    Article
  18. Article
  19. Review
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 1 country.

Jennifer EgbebikeDepartment of Neurology, Columbia University Irving Medical Center, New York, NY, USA.
Qi ShenDepartment of Neurology, Columbia University Irving Medical Center, New York, NY, USA.
Kevin DoyleDepartment of Neurology, Columbia University Irving Medical Center, New York, NY, USA.
Caroline A Der-NigoghossianNew York Presbyterian Hospital, New York, NY, USA.
Lucy PanickerNew York Presbyterian Hospital, New York, NY, USA.
Ian Jerome GonzalesNew York Presbyterian Hospital, New York, NY, USA.
Lauren GroboisDepartment of Neurology, Columbia University Irving Medical Center, New York, NY, USA.
Jerina C CarmonaDepartment of Neurology, Columbia University Irving Medical Center, New York, NY, USA.
Athina VrosgouDepartment of Neurology, Columbia University Irving Medical Center, New York, NY, USA.
Arshneil KaurNew York Presbyterian Hospital, New York, NY, USA.
Amelia BoehmeDepartment of Neurosurgery, Columbia University Irving Medical Center, New York, NY, USA; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
Angela VelazquezDepartment of Neurology, Columbia University Irving Medical Center, New York, NY, USA.
Benjamin RohautDepartment of Neurology, Columbia University Irving Medical Center, New York, NY, USA; Department of Neurosurgery, Columbia University Irving Medical Center, New York, NY, USA.
David RohDepartment of Neurology, Columbia University Irving Medical Center, New York, NY, USA; New York Presbyterian Hospital, New York, NY, USA.
Sachin AgarwalDepartment of Neurology, Columbia University Irving Medical Center, New York, NY, USA; New York Presbyterian Hospital, New York, NY, USA.
Soojin ParkDepartment of Neurology, Columbia University Irving Medical Center, New York, NY, USA; New York Presbyterian Hospital, New York, NY, USA.
E Sander ConnollyDepartment of Neurosurgery, Columbia University Irving Medical Center, New York, NY, USA; New York Presbyterian Hospital, New York, NY, USA.
Jan ClaassenDepartment of Neurology, Columbia University Irving Medical Center, New York, NY, USA; New York Presbyterian Hospital, New York, NY, USA. Electronic address: jc1439@columbia.edu.
Columbia University Irving Medical Center · USNewYork–Presbyterian Hospital · USColumbia University · US

Funding

RECONFIG - REcovery of CONsciousness Following Intracerebral hemorrhaGeR01NS106014 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CLAASSEN, JAN · 2019 to 2023
$3.6M
Characterize psychological and behavioral dimensions of cardiac arrest survivorship, and their association with 1-year mortality, cardiovascular disease risk, and health-related quality of lifeR01HL153311 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI AGARWAL, SACHIN · 2021 to 2024
$3.1M
Erythrocyte contribution to coagulopathy and cerebral oxygenation after intracerebral hemorrhageK23HL151901 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ROH, DAVID · 2021 to 2025
$950k
Characterize psychological and behavioral dimensions of cardiac arrest survivorship, and their association with 1-year mortality, cardiovascular disease risk and health-related quality of lifeR56HL153311 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI AGARWAL, SACHIN · 2020 to 2020
$796k
Machine Learning to Optimize Management of Acute Hydrocephalus PatientsR21NS113055 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PARK, SOOJIN · 2020 to 2020
$446k
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
NHLBI NIH HHS K23 HL151901NHLBI NIH HHS R01 HL153311NHLBI NIH HHS R56 HL153311NINDS NIH HHS R01 NS106014NINDS NIH HHS R03 NS112760NINDS NIH HHS R21 NS113055
6 · The paper itself

Abstract

backgroundRecovery trajectories of clinically unresponsive patients with acute brain injury are largely uncertain. Brain activation in the absence of a behavioural response to spoken motor commands can be detected by EEG, also known as cognitive-motor dissociation. We aimed to explore the role of cognitive-motor dissociation in predicting time to recovery in patients with acute brain injury.

methodsIn this observational cohort study, we prospectively studied two independent cohorts of clinically unresponsive patients (aged ≥18 years) with acute brain injury. Machine learning was applied to EEG recordings to diagnose cognitive-motor dissociation by detecting brain activation in response to verbal commands. Survival statistics and shift analyses were applied to the data to identify an association between cognitive-motor dissociation and time to and magnitude of recovery. The prediction accuracy of the model that was built using the derivation cohort was assessed using the validation cohort. Functional outcomes of all patients were assessed with the Glasgow Outcome Scale-Extended (GOS-E) at hospital discharge and at 3, 6, and 12 months after injury. Patients who underwent withdrawal of life-sustaining therapies were censored, and death was treated as a competing risk.

findingsBetween July 1, 2014, and Sept 30, 2021, we screened 598 patients with acute brain injury and included 193 (32%) patients, of whom 100 were in the derivation cohort and 93 were in the validation cohort. At 12 months, 28 (15%) of 193 unresponsive patients had a GOS-E score of 4 or above. Cognitive-motor dissociation was seen in 27 (14%) patients and was an independent predictor of shorter time to good recovery (hazard ratio 5·6 [95% CI 2·5-12·5]), as was underlying traumatic brain injury or subdural haematoma (4·4 [1·4-14·0]), a Glasgow Coma Scale score on admission of greater than or equal to 8 (2·2 [1·0-4·7]), and younger age (1·0 [1·0-1·1]). Among patients discharged home or to a rehabilitation setting, those diagnosed with cognitive-motor dissociation consistently had higher scores on GOS-E indicating better functional recovery compared with those without cognitive-motor dissociation, which was seen as early as 3 months after the injury (odds ratio 4·5 [95% CI 2·0-33·6]).

interpretationRecovery trajectories of clinically unresponsive patients diagnosed with cognitive-motor dissociation early after brain injury are distinctly different from those without cognitive-motor dissociation. A diagnosis of cognitive-motor dissociation could inform the counselling of families of clinically unresponsive patients, and it could help clinicians to identify patients who will benefit from rehabilitation.

fundingUS National Institutes of Health.

Indexed as

Brain InjuriesBrain Injuries, TraumaticAdolescentAdultCognitionCohort StudiesGlasgow Coma ScaleGlasgow Outcome ScaleHumansProspective StudiesRecovery of Function

Identifiers

PMID35841909
PMCPMC9476646
OpenAlexW4285384781

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.