Evidence map›Paper›PMID 37574216›Full record

ArticleBrain : a journal of neurology2023

Injury patterns associated with cognitive motor dissociation.

Eva Franzova, Qi Shen, Kevin Doyle, Justine M Chen, Jennifer Egbebike, Athina Vrosgou, Jerina C Carmona, Lauren Grobois, Gregory A Heinonen, Angela Velazquez and 7 more

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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.

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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Observational
  7. Article
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  9. Review
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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

17 authors.

Eva FranzovaDepartment of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Qi ShenDepartment of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Kevin DoyleDepartment of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Justine M ChenDepartment of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Jennifer EgbebikeDepartment of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Athina VrosgouDepartment of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Jerina C CarmonaDepartment of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Lauren GroboisDepartment of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Gregory A HeinonenDepartment of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Angela VelazquezDepartment of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Ian Jerome GonzalesNewYork-Presbyterian Hospital, New York, NY, USA.
Satoshi EgawaDepartment of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Sachin AgarwalDepartment of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
David RohDepartment of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.ORCID 0000-0003-1927-7686
Soojin ParkDepartment of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
E Sander ConnollyDepartment of Neurological Surgery, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.
Jan ClaassenDepartment of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA.ORCID 0000-0002-5893-8531

Funding

RECONFIG - REcovery of CONsciousness Following Intracerebral hemorrhaGeR01NS106014 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CLAASSEN, JAN · 2019 to 2023
$3.6M
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
NINDS NIH HHS R01 NS106014NINDS NIH HHS R03 NS112760
6 · The paper itself

Abstract

In unconscious appearing patients with acute brain injury, wilful brain activation to motor commands without behavioural signs of command following, known as cognitive motor dissociation (CMD), is associated with functional recovery. CMD can be detected by applying machine learning to EEG recorded during motor command presentation in behaviourally unresponsive patients. Identifying patients with CMD carries clinical implications for patient interactions, communication with families, and guidance of therapeutic decisions but underlying mechanisms of CMD remain unknown. By analysing structural lesion patterns and network level dysfunction we tested the hypothesis that, in cases with preserved arousal and command comprehension, a failure to integrate comprehended motor commands with motor outputs underlies CMD. Manual segmentation of T2-fluid attenuated inversion recovery and diffusion weighted imaging sequences quantifying structural injury was performed in consecutive unresponsive patients with acute brain injury (n = 107) who underwent EEG-based CMD assessments and MRI. Lesion pattern analysis was applied to identify lesion patterns common among patients with (n = 21) and without CMD (n = 86). Thalamocortical and cortico-cortical network connectivity were assessed applying ABCD classification of power spectral density plots and weighted pairwise phase consistency (WPPC) to resting EEG, respectively. Two distinct structural lesion patterns were identified on MRI for CMD and three for non-CMD patients. In non-CMD patients, injury to brainstem arousal pathways including the midbrain were seen, while no CMD patients had midbrain lesions. A group of non-CMD patients was identified with injury to the left thalamus, implicating possible language comprehension difficulties. Shared lesion patterns of globus pallidus and putamen were seen for a group of CMD patients, which have been implicated as part of the anterior forebrain mesocircuit in patients with reversible disorders of consciousness. Thalamocortical network dysfunction was less common in CMD patients [ABCD-index 2.3 (interquartile range, IQR 2.1-3.0) versus 1.4 (IQR 1.0-2.0), P < 0.0001; presence of D 36% versus 3%, P = 0.0006], but WPPC was not different. Bilateral cortical lesions were seen in patients with and without CMD. Thalamocortical disruption did not differ for those with CMD, but long-range WPPC was decreased in 1-4 Hz [odds ratio (OR) 0.8; 95% confidence interval (CI) 0.7-0.9] and increased in 14-30 Hz frequency ranges (OR 1.2; 95% CI 1.0-1.5). These structural and functional data implicate a failure of motor command integration at the anterior forebrain mesocircuit level with preserved thalamocortical network function for CMD patients with subcortical lesions. Amongst patients with bilateral cortical lesions preserved cortico-cortical network function is associated with CMD detection. These data may allow screening for CMD based on widely available structural MRI and resting EEG.

Indexed as

Brain InjuriesConsciousnessDiffusion Magnetic Resonance ImagingHumansMagnetic Resonance ImagingProsencephaloncognitive motor dissociationelectroencephalographyimagingMRIstructural injury

Identifiers

PMID37574216
PMCPMC10629765

What OpenQuestion holds

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Registered trials

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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.