Evidence map›Paper›PMID 35790201›Full record

ReviewSeminars in neurology2022

Applications of Advanced MRI to Disorders of Consciousness.

David Fischer, Virginia Newcombe, Davinia Fernandez-Espejo, Samuel B Snider

Abstract readReview
In one paragraph

Review in Seminars in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Neuroimaging in Disorders of Consciousness and Recovery.Physical medicine and rehabilitation clinics of North America · 2024
    Review
  9. Article
  10. 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

4 authors.

David FischerDivision of Neurocritical Care, Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.ORCID 0000-0001-8181-0643
Virginia NewcombeDivision of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-6044-9035
Davinia Fernandez-EspejoSchool of Psychology and Centre for Human Brain Health, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0001-5941-7546
Samuel B SniderDivision of Neurocritical Care, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts.

Funding

Neuroscience Resident Research ProgramR25NS065743 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CASH, SYDNEY S, WILLIAMS, ZIV · 2009 to 2023
$11.8M
Neuroscience Resident Research ProgramUE5NS065743 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI SYDNEY S CASH, Ziv Williams · 2024 to 2026
$2.6M
Medical Research Council MR/P02596X/1NINDS NIH HHS R25 NS065743NINDS NIH HHS UE5 NS065743
6 · The paper itself

Abstract

Disorder of consciousness (DoC) after severe brain injury presents numerous challenges to clinicians, as the diagnosis, prognosis, and management are often uncertain. Magnetic resonance imaging (MRI) has long been used to evaluate brain structure in patients with DoC. More recently, advances in MRI technology have permitted more detailed investigations of the brain's structural integrity (via diffusion MRI) and function (via functional MRI). A growing literature has begun to show that these advanced forms of MRI may improve our understanding of DoC pathophysiology, facilitate the identification of patient consciousness, and improve the accuracy of clinical prognostication. Here we review the emerging evidence for the application of advanced MRI for patients with DoC.

Indexed as

Brain InjuriesConsciousnessBrainConsciousness DisordersHumansMagnetic Resonance Imaging

Identifiers

PMID35790201
PMCPMC12703101

What OpenQuestion holds

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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.