Gait abnormalities in minimally disabled people with Multiple Sclerosis: A 3D-motion analysis study

Marianna Liparoti1, Marida Della Corte2, Rosaria Rucco3

  • 1Department of Motor Sciences and Wellness, University of Naples "Parthenope", Via Medina 40, Naples 80133, Italy.

Abstract

Insights

Three-dimensional gait analysis (3D-GA) detects subtle gait impairments in people with Relapsing-Remitting Multiple Sclerosis (pwRR-MS) even when they are cognitively preserved. These gait abnormalities, including reduced velocity and stability, are evident during both single and cognitive dual tasks.

Area of Science:

  • Neurology
  • Biomechanics
  • Rehabilitation Science

Background:

  • Relapsing-Remitting Multiple Sclerosis (pwRR-MS) can cause subclinical gait impairment.
  • The Expanded Disability Status Scale may not detect subtle gait issues.
  • Three-dimensional Gait Analysis (3D-GA) can identify minor gait abnormalities.

Purpose of the Study:

  • Investigate gait patterns in minimally disabled pwRR-MS using 3D-GA.
  • Assess gait during single tasks (SinT) and cognitive dual tasks (CogDT).
  • Correlate gait parameters with cognitive scores, lesion load (LL), and brain atrophy.

Main Methods:

  • 22 pwRR-MS and 21 healthy controls (HCs) participated.
  • Neuropsychological (NP) evaluation and brain MRI were performed.
  • 3D-GA was used to analyze gait patterns.

Main Results:

  • pwRR-MS showed impaired velocity, stability, and kinematic parameters compared to HCs during SinT.
  • These gait alterations persisted during CogDT, with increased double limb support.
  • No significant correlations were found between gait abnormalities and cognitive status or MRI measures.

Conclusions:

  • 3D-GA can detect subclinical gait abnormalities in asymptomatic and cognitively preserved pwRR-MS.
  • Gait impairment is present even in early stages of MS.
  • 3D-GA offers a sensitive tool for assessing gait in pwRR-MS.

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