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Methods to Assess Ocular Motor Dysfunction in Multiple Sclerosis.

Christy K Sheehy1, Alexandra Beaudry-Richard, Ethan Bensinger

  • 1Department of Neurology (CKS, AB-R, JHS, AJG), University of California, San Francisco, San Francisco, California; School of Medicine (AB-R), University of Ottawa, Ottawa, Ontario, Canada; School of Optometry (EB, JT), University of California, Berkeley, Berkeley, California; Vision Science Graduate Group (EB), University of California, Berkeley, Berkeley, California; and Department of Ophthalmology (AJG), University of California, San Francisco, San Francisco, California.

Journal of Neuro-Ophthalmology : the Official Journal of the North American Neuro-Ophthalmology Society
|November 13, 2018
PubMed
Summary
This summary is machine-generated.

Quantitative eye movement assessment can help monitor multiple sclerosis (MS) progression. This review details methods for assessing ocular motor dysfunction in MS patients, aiding clinical care and disease tracking.

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Area of Science:

  • Neuroscience
  • Ophthalmology
  • Neurology

Background:

  • Multiple sclerosis (MS) is a central nervous system inflammatory disease causing demyelination and axonal loss.
  • Ocular motor dysfunction is a common but often overlooked symptom in MS patients.
  • Accurate assessment of eye movement deficits is crucial for patient care and disease monitoring.

Purpose of the Study:

  • To review methods for assessing ocular motor dysfunction in MS.
  • To discuss the strengths and limitations of various eye tracking techniques.
  • To provide insights into using eye movements for monitoring MS progression.

Main Methods:

  • Review of eye tracking technology history and applications in MS.
  • Contextualized analysis of methods for assessing ocular motor dysfunction.
  • Discussion of new tools for eye movement tracking in MS.

Main Results:

  • Ocular motor deficits are prevalent in MS and impact patient care.
  • Various eye tracking methods offer different insights into MS-related dysfunction.
  • Emerging technologies show promise for monitoring disease progression.

Conclusions:

  • Clinicians can utilize detailed eye movement assessments for MS patient management.
  • Specific eye tracking techniques are suited for different types of ocular motor dysfunction in MS.
  • Quantitative eye movement analysis is valuable for understanding and tracking MS.