Evidence map›Paper›PMID 34341143›Full record

ArticleJournal of neurology, neurosurgery, and psychiatry2021

Longitudinal changes of spinal cord grey and white matter following spinal cord injury.

Gergely David, Dario Pfyffer, Kevin Vallotton, Nikolai Pfender, Alan Thompson, Nikolaus Weiskopf, Siawoosh Mohammadi, Armin Curt, Patrick Freund

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurology, neurosurgery, and psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 43 citations in OpenAlex.

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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

9 authors at 5 institutions in 3 countries.

Gergely DavidSpinal Cord Injury Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-9379-5193
Dario PfyfferSpinal Cord Injury Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-2406-9251
Kevin VallottonSpinal Cord Injury Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
Nikolai PfenderSpinal Cord Injury Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
Alan ThompsonDepartment of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK.
Nikolaus WeiskopfDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Siawoosh MohammadiDepartment of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Armin CurtSpinal Cord Injury Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
Patrick FreundSpinal Cord Injury Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland patrick.freund@balgrist.ch.ORCID 0000-0002-4851-2246
University of Zurich · CHMax Planck Institute for Human Cognitive and Brain Sciences · DEUniversität Hamburg · DEUniversity College London · GBWellcome Centre for Human Neuroimaging · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectivesTraumatic and non-traumatic spinal cord injury produce neurodegeneration across the entire neuraxis. However, the spatiotemporal dynamics of spinal cord grey and white matter neurodegeneration above and below the injury is understudied.

methodsWe acquired longitudinal data from 13 traumatic and 3 non-traumatic spinal cord injury patients (8-8 cervical and thoracic cord injuries) within 1.5 years after injury and 10 healthy controls over the same period. The protocol encompassed structural and diffusion-weighted MRI rostral (C2/C3) and caudal (lumbar enlargement) to the injury level to track tissue-specific neurodegeneration. Regression models assessed group differences in the temporal evolution of tissue-specific changes and associations with clinical outcomes.

resultsAt 2 months post-injury, white matter area was decreased by 8.5% and grey matter by 15.9% in the lumbar enlargement, while at C2/C3 only white matter was decreased (-9.7%). Patients had decreased cervical fractional anisotropy (FA: -11.3%) and increased radial diffusivity (+20.5%) in the dorsal column, while FA was lower in the lateral (-10.3%) and ventral columns (-9.7%) of the lumbar enlargement. White matter decreased by 0.34% and 0.35% per month at C2/C3 and lumbar enlargement, respectively, and grey matter decreased at C2/C3 by 0.70% per month.

conclusionsThis study describes the spatiotemporal dynamics of tissue-specific spinal cord neurodegeneration above and below a spinal cord injury. While above the injury, grey matter atrophy lagged initially behind white matter neurodegeneration, in the lumbar enlargement these processes progressed in parallel. Tracking trajectories of tissue-specific neurodegeneration provides valuable assessment tools for monitoring recovery and treatment effects.

Indexed as

AdultAgedAtrophyDiffusion Tensor ImagingFemaleGray MatterHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedSpinal CordSpinal Cord InjuriesWhite Matter

Identifiers

PMID34341143
PMCPMC8522459
OpenAlexW3187879497

What OpenQuestion holds

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LicenceCC BY
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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.