Evidence map›Paper›PMID 36365918›Full record

ArticleSensors (Basel, Switzerland)2022

Toward an Automatic Assessment of Cognitive Dysfunction in Relapsing-Remitting Multiple Sclerosis Patients Using Eye Movement Analysis.

Cecilia E García Cena, David Gómez-Andrés, Irene Pulido-Valdeolivas, Victoria Galán Sánchez-Seco, Angela Domingo-Santos, Sara Moreno-García, Julián Benito-León

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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
0.9field-weighted citation impact, top 26% 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, 6 citations in OpenAlex.

  1. Article
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  4. 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

7 authors at 7 institutions in 1 country.

Cecilia E García CenaEscuela Técnica Superior de Ingeniería y Diseño Industrial, Centre for Automation and Robotics, ETSIDI-CAR, Universidad Politécnica de Madrid, 28012 Madrid, Spain.ORCID 0000-0002-1067-0564
David Gómez-AndrésChild Neurology Unit, Hospital Universitari Vall d'Hebron, Vall d'Hebron Research Institute (VHIR), Euro-NMD and ERN-RND, 08035 Barcelona, Spain.ORCID 0000-0001-5654-7791
Irene Pulido-ValdeolivasAnatomy, Histology and Neuroscience Department, Universidad Autónoma de Madrid, 28049 Madrid, Spain.ORCID 0000-0003-0188-2458
Victoria Galán Sánchez-SecoDepartment of Neurology, University Hospital "Virgen de la Salud", 45004 Toledo, Spain.
Angela Domingo-SantosDepartment of Neurology, "La Mancha Centro" General Hospital, Alcázar de San Juan, 13600 Ciudad Real, Spain.ORCID 0000-0003-1456-3034
Sara Moreno-GarcíaDepartment of Neurology, University Hospital "12 de Octubre", 28041 Madrid, Spain.
Julián Benito-LeónDepartment of Neurology, University Hospital "12 de Octubre", 28041 Madrid, Spain.ORCID 0000-0002-1769-4809
Centre for Automation and Robotics · ESHospital General Universitario de Ciudad Real · ESHospital Virgen de la Salud · ESResearch Institute Hospital 12 de Octubre · ESUniversidad Autónoma de Madrid · ESUniversidad Complutense de Madrid · ESVall d'Hebron Institut de Recerca · ES

Funding

ENVIRONMENTAL EPIDEMIOLOGY OF ESSENTIAL TREMORR01NS039422 · NINDS · YALE UNIVERSITY · PI LOUIS, ELAN D · 2000 to 2013
$7.7M
Comunidad de Madrid S2018/NMT-4331European Commission ICT-2011-287739Instituto de Salud Carlos III PI12/01602Instituto de Salud Carlos III PI16/00451Ministry of Economy, Industry and Competitiveness RTC-2015-3967-1NIH HHS NINDS R01 NS39422NINDS NIH HHS R01 NS039422Technical University of Madrid Internal funding
6 · The paper itself

Abstract

Despite the importance of cognitive function in multiple sclerosis, it is poorly represented in the Expanded Disability Status Scale (EDSS), the commonly used clinical measure to assess disability, suggesting that an analysis of eye movement, which is generated by an extensive and well-coordinated functional network that is engaged in cognitive function, could have the potential to extend and complement this more conventional measure. We aimed to measure the eye movement of a case series of MS patients with relapsing−remitting MS to assess their cognitive status using a conventional gaze tracker. A total of 41 relapsing−remitting MS patients and 43 age-matched healthy controls were recruited for this study. Overall, we could not find a clear common pattern in the eye motor abnormalities. Vertical eye movement was more impaired in MS patients than horizontal movement. Increased latencies were found in the prosaccades and reflexive saccades of antisaccade tests. The smooth pursuit was impaired with more corrections (backup and catchup movements, p<0.01). No correlation was found between eye movement variables and EDSS or disease duration. Despite significant alterations in the behavior of the eye movements in MS patients, which are compatible with altered cognitive status, there is no common pattern of these alterations. We interpret this as a consequence of the patchy, heterogeneous distribution of white matter involvement in MS that provokes multiple combinations of impairment at different points in the different networks involved in eye motor control. Further studies are therefore required.

Indexed as

Cognitive DysfunctionMultiple SclerosisMultiple Sclerosis, Relapsing-RemittingEye MovementsHumansSaccadescognitive dysfunctioneye movementsmultiple sclerosisocular markersprediction methodsstatistical analysisvideo-oculography

Identifiers

PMID36365918
PMCPMC9657913
OpenAlexW4307703027

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.