Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Machine Learning and Deep Learning Frameworks for Human-Virus Protein-Protein Interaction Prediction: Emerging Architectures, Methods, Benchmarks, and Challenges.

International journal of molecular sciences·2026
Same author

Beyond the Tremor: Cognitive Decline in People With Essential Tremor.

Neurology·2026
Same author

Differences in substance use among trans, non-binary and cis people in Spain: a cross-sectional study.

Substance abuse treatment, prevention, and policy·2026
Same author

Movement disorder emergencies at a tertiary-care center in West Bengal, India: Spectrum, etiologies, diagnostic implications.

Next research·2026
Same author

Qualitative clock-drawing errors across dementia etiologies and mild cognitive impairment: a clinically interpretable six-class framework.

CNS spectrums·2026
Same author

Extracranial vascular association of moyamoya disease: a systematic review and machine learning analysis.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology·2026

Related Experiment Video

Updated: Aug 22, 2025

Eye-Tracking Control to Assess Cognitive Functions in Patients with Amyotrophic Lateral Sclerosis
07:00

Eye-Tracking Control to Assess Cognitive Functions in Patients with Amyotrophic Lateral Sclerosis

Published on: October 13, 2016

8.2K

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

Cecilia E García Cena1, David Gómez-Andrés2, Irene Pulido-Valdeolivas3

  • 1Escuela Técnica Superior de Ingeniería y Diseño Industrial, Centre for Automation and Robotics, ETSIDI-CAR, Universidad Politécnica de Madrid, 28012 Madrid, Spain.

Sensors (Basel, Switzerland)
|November 11, 2022
PubMed
Summary

Eye movement abnormalities in multiple sclerosis (MS) patients suggest cognitive changes, but lack a consistent pattern. Vertical movements and saccade latencies were notably impaired, indicating potential for eye tracking as a complementary cognitive assessment tool.

Keywords:
cognitive dysfunctioneye movementsmultiple sclerosisocular markersprediction methodsstatistical analysisvideo-oculography

More Related Videos

Characterizing the Relationship Between Eye Movement Parameters and Cognitive Functions in Non-demented Parkinson's Disease Patients with Eye Tracking
07:26

Characterizing the Relationship Between Eye Movement Parameters and Cognitive Functions in Non-demented Parkinson's Disease Patients with Eye Tracking

Published on: September 26, 2019

7.9K
Eye Movement Monitoring of Memory
08:06

Eye Movement Monitoring of Memory

Published on: August 15, 2010

14.8K

Related Experiment Videos

Last Updated: Aug 22, 2025

Eye-Tracking Control to Assess Cognitive Functions in Patients with Amyotrophic Lateral Sclerosis
07:00

Eye-Tracking Control to Assess Cognitive Functions in Patients with Amyotrophic Lateral Sclerosis

Published on: October 13, 2016

8.2K
Characterizing the Relationship Between Eye Movement Parameters and Cognitive Functions in Non-demented Parkinson's Disease Patients with Eye Tracking
07:26

Characterizing the Relationship Between Eye Movement Parameters and Cognitive Functions in Non-demented Parkinson's Disease Patients with Eye Tracking

Published on: September 26, 2019

7.9K
Eye Movement Monitoring of Memory
08:06

Eye Movement Monitoring of Memory

Published on: August 15, 2010

14.8K

Area of Science:

  • Neuroscience
  • Ophthalmology
  • Neurology

Background:

  • Cognitive impairment is a significant challenge in multiple sclerosis (MS).
  • The Expanded Disability Status Scale (EDSS) inadequately represents cognitive deficits.
  • Eye movements involve extensive neural networks crucial for cognitive function.

Purpose of the Study:

  • To investigate eye movement patterns in relapsing-remitting MS patients.
  • To assess the potential of eye tracking as a complementary measure for cognitive status in MS.
  • To explore correlations between eye movement abnormalities and clinical disability (EDSS) or disease duration.

Main Methods:

  • Recruited 41 relapsing-remitting MS patients and 43 healthy controls.
  • Utilized a conventional gaze tracker to measure eye movements.
  • Analyzed parameters including prosaccades, antisaccades, and smooth pursuit.

Main Results:

  • MS patients exhibited impaired vertical eye movements compared to horizontal.
  • Increased latencies were observed in prosaccade and antisaccade tests.
  • Smooth pursuit was compromised, requiring more corrective movements (p<0.01).
  • No significant correlation was found between eye movement variables and EDSS or disease duration.

Conclusions:

  • MS patients display altered eye movement behaviors consistent with cognitive changes.
  • The heterogeneity of white matter lesions in MS leads to diverse patterns of eye motor impairment.
  • Eye tracking shows promise as a complementary tool for assessing cognitive status in MS, despite the lack of a uniform abnormality pattern.