Evidence map›Paper›PMID 31214114›Full record

ArticleFrontiers in neurology2019

Gray Matter Atrophy to Explain Subclinical Oculomotor Deficit in Multiple Sclerosis.

Bálint Kincses, Benjámin J Hérák, Nikoletta Szabó, Bence Bozsik, Péter Faragó, András Király, Dániel Veréb, Eszter Tóth, Krisztián Kocsis, Krisztina Bencsik and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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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

12 authors at 1 institution in 1 country.

Bálint KincsesDepartment of Neurology, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary.
Benjámin J HérákDepartment of Neurology, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary.
Nikoletta SzabóDepartment of Neurology, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary.
Bence BozsikDepartment of Neurology, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary.
Péter FaragóDepartment of Neurology, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary.
András KirályDepartment of Neurology, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary.
Dániel VerébDepartment of Neurology, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary.
Eszter TóthDepartment of Neurology, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary.
Krisztián KocsisDepartment of Neurology, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary.
Krisztina BencsikDepartment of Neurology, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary.
László VécseiDepartment of Neurology, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary.
Zsigmond Tamás KincsesDepartment of Neurology, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary.
University of Szeged · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eye movement deficits are frequently noted in multiple sclerosis during bedside clinical examination, but subtle dysfunction may remain undetected and might only be identified with advanced approaches. While classical neurology provides insight into the complex functional anatomy of oculomotor functions, little is known about the structural background of this dysfunction in MS. Thirty four clinically stable, treated relapsing-remitting MS patients with mild disability and 34 healthy controls were included in our study. Group difference and correlation with clinical parameters were analyzed in case of the latency, peak-velocity, gain, dysconjugacy index, and performance during a saccade and anti-saccade task. High-resolution T1 weighted, T2 FLAIR, and double inversion recovery images were acquired on 3T to evaluate the correlation between behavioral and MRI parameters, such as T2 lesion and T1 black-hole burden, global brain, gray, and white matter atrophy. VBM style analysis was used to identify the focal gray matter atrophy responsible for oculomotor dysfunction. Significantly increased latency in the prosaccade task and significantly worse performance in the anti-saccade task were found in MS patients. The detailed examination of conjugated eye movements revealed five subclinical internuclear ophthalmoparesis cases. The peak velocity and latency of the anti-saccade movement correlated with the number of black holes, but none of the eye movement parameters were associated with the T2 lesion burden or location. Global gray matter volume correlated with saccade and anti-saccade latency, whereas white matter and total brain volume did not. Local gray matter atrophy in the left inferio-parietal lobule and temporo-occipital junction correlated with anti-saccade peak velocity. Our results show that neurodegeneration-like features of the MRI (black-hole, gray matter atrophy) are the best predictors of eye movement deficit in MS. Concurring with the clinico-radiological paradox, T2 lesion burden cannot explain the behavioral results. Importantly, anti-saccade peak velocity correlates with gray matter atrophy in the left parietal regions, which are frequently implicated in attention tasks.

Indexed as

anti-saccadeatrophyblack holemultiple sclerosisprosaccade

Identifiers

PMID31214114
PMCPMC6558169
OpenAlexW2945498652

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.