Evidence map›Paper›PMID 40033114›Full record

Observational studyNature medicine2025

Sleep spindles as a predictor of cognitive motor dissociation and recovery of consciousness after acute brain injury.

Elizabeth E Carroll, Qi Shen, Vedant Kansara, Nicole Casson, Andrew Michalak, Itamar Niesvizky-Kogan, Jaehyung Lim, Amy Postelnik, Matthew J Viereck, Satoshi Egawa and 13 more

Abstract readObservational Study
In one paragraph

Observational study in Nature medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. The Gray Zone of Consciousness: Cognitive Motor Dissociation.Current neurology and neuroscience reports · 2025
    Review
  5. Article
  6. 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

23 authors.

Elizabeth E Carroll *Department of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Qi Shen *Department of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Vedant KansaraDepartment of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Nicole CassonDepartment of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Andrew MichalakDepartment of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Itamar Niesvizky-KoganDepartment of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Jaehyung LimDepartment of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Amy PostelnikDepartment of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Matthew J ViereckDepartment of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Satoshi EgawaDepartment of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Joshua KahanDepartment of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Jerina C CarmonaDepartment of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Lucie KrugerDepartment of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
You Lim SongDepartment of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Angela VelazquezDepartment of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Catherine A SchevonDepartment of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
E Sander ConnollyNewYork-Presbyterian Hospital, New York, NY, USA.ORCID http://orcid.org/0000-0002-6877-3371
Shivani GhoshalDepartment of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Sachin AgarwalDepartment of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
David RohDepartment of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Soojin ParkDepartment of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.ORCID http://orcid.org/0000-0002-3688-7307
Paul KentDepartment of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Jan ClaassenDepartment of Neurology, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA. jc1439@cumc.columbia.edu.ORCID http://orcid.org/0000-0002-5893-8531

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
RECONFIG - REcovery of CONsciousness Following Intracerebral hemorrhaGeR01NS106014 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CLAASSEN, JAN · 2019 to 2023
$3.6M
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 TR001873NINDS NIH HHS R01 NS106014NLM NIH HHS R01 LM011826U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS) UL1TR001873U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) NS106014U.S. Department of Health & Human Services | NIH | U.S. National Library of Medicine (NLM) LM011826
6 · The paper itself

Abstract

Cognitive motor dissociation (CMD) can improve the accuracy to predict recovery of behaviorally unresponsive patients with acute brain injury, but acquisition and analysis of task-based electroencephalography (EEG) are technically challenging. N2 sleep patterns, such as sleep spindles on EEG, have been associated with good outcomes, rely on similar thalamocortical networks as consciousness and could provide less technically challenging complementary outcome predictors. In this prospective observational cohort study of 226 acutely brain injured patients, well-formed sleep spindles (WFSS) were more likely present in those with CMD than in those without CMD, often preceding the detection of CMD. WFSS were associated with a shorter time to recovery of consciousness, and both CMD and WFSS independently predicted recovery of independence, controlling for age, admission neurological status and injury type. WFSS are seen in approximately every third behaviorally unresponsive patient after acute brain injury, frequently precede detection of CMD and are a promising complementary predictor for recovery of consciousness and functional independence.

Indexed as

Brain InjuriesCognitionConsciousnessSleepAdultAgedElectroencephalographyFemaleHumansMaleMiddle AgedProspective StudiesRecovery of FunctionYoung Adult

Identifiers

PMID40033114
PMCPMC13519939

What OpenQuestion holds

Textmetadata
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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.