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Multiple Sclerosis l: Introduction01:19

Multiple Sclerosis l: Introduction

Multiple sclerosis is a chronic autoimmune disease of the central nervous system (CNS) that affects the brain, spinal cord, and optic nerves. It is an inflammatory demyelinating disorder and a leading cause of neurological disability in young adults.EpidemiologyMS commonly begins between 20 and 40 years of age and is twice as common in women. Its exact cause remains unclear, but genetic susceptibility contributes, with higher risk in first-degree relatives and identical twins. A greater...

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Visual evoked potential latency predicts cognitive function in people with multiple sclerosis.

Thomas J Covey1,2, Daniel Golan3,4, Glen M Doniger5

  • 1Division of Cognitive and Behavioral Neurosciences, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University At Buffalo, Sherman Hall Annex Room 114, Buffalo, NY, 14214, USA. tjcovey@buffalo.edu.

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Visual evoked potentials (VEPs) reveal neural inefficiency in multiple sclerosis (MS). Prolonged VEP latency correlates with broader cognitive deficits, impacting information processing, executive function, and attention in people with MS.

Keywords:
Cognitive functionEvoked potential latencyMultiple sclerosisP100Processing speedVisual evoked potentials

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Area of Science:

  • Neuroscience
  • Clinical Neurology
  • Neurophysiology

Background:

  • Previous research suggests a link between visual evoked potentials (VEPs) and cognitive function in people with multiple sclerosis (PwMS).
  • The precise mechanisms underlying this association are not fully understood.
  • This study investigates VEP latency as a potential indicator of neural efficiency in PwMS.

Purpose of the Study:

  • To examine the relationship between VEP P100 component latency and cognitive performance in a large cohort of PwMS.
  • To determine if VEP latency reflects general neural inefficiency beyond visual system functioning.
  • To identify specific cognitive domains affected by prolonged VEP latency.

Main Methods:

  • A large sample of PwMS underwent VEP testing using a standard checkerboard pattern-reversal paradigm to measure P100 component latency.
  • Cognitive performance was assessed using the NeuroTrax battery, evaluating domains including memory, executive function, and information processing speed.
  • Statistical analyses controlled for disease duration, visual acuity, and inter-ocular latency differences.

Main Results:

  • Prolonged VEP latency was significantly associated with poorer performance across multiple cognitive domains.
  • Increased VEP latency correlated with the number of cognitive domains showing significant impairment (≥1 SD below normative mean).
  • Significant relationships persisted for information processing speed, executive function, attention, motor skills, and global cognitive performance after adjustments.

Conclusions:

  • VEP latency delays serve as a biomarker for general neural inefficiency in PwMS.
  • This inefficiency is linked to cognitive disturbances observed in multiple sclerosis.
  • VEP latency offers insights into the neurophysiological underpinnings of cognitive decline in MS.