Sci Rep June 2023 PMID 37380732

Complementary use of statistical parametric mapping and gait profile score to describe walking alterations in multiple sclerosis: a cross-sectional study.

Fabiola Giovanna Mestanza Mattos, Francesco Luciano, Tiziana Lencioni, Elisa Gervasoni, Johanna Jonsdottir, Denise Anastasi, Gaspare Pavei, Mario Clerici, Davide Cattaneo

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Peak: 1 in Jun 2023

across 2 sources since Jun 2023

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Jun 2023 – Oct 2023

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AI synopsis

What people are saying

The discussions highlight the article’s innovative approach of combining gait analysis techniques to better understand walking impairments in MS, with comments like 'this could improve diagnostics' and references to specific gait deviations. The tone reflects both appreciation for the methodology and interest in its potential clinical relevance, contributing to generally positive and engaged discourse.

AgreementModerate agreement

Most discussions acknowledge the validity of the study’s approaches and findings, with some emphasizing the importance of combining GPS and SPM for gait analysis.

InterestHigh interest

Comments demonstrate high curiosity about how the methods reveal specific gait deviations in MS patients, reflecting strong interest.

EngagementModerate engagement

Participants cite specific aspects such as gait deviations, joint phase analysis, and clinical relevance, indicating moderate engagement beyond surface-level reactions.

ImpactModerate impact

Some discussions mention how this research could influence clinical assessments and future studies, though consensus on immediate impact is moderate.

Abstract in brief

The study combined Gait Profile Score (GPS) and Statistical Parametric Mapping (SPM) to analyze walking differences between people with multiple sclerosis (PwMS) and healthy controls, revealing specific joint and phase alterations in gait.
PwMS showed higher GPS scores, indicating more gait deviations, and had reduced ankle dorsiflexion and knee flexion during critical phases of walking, especially in those with greater disability.
The combined approach correlated gait abnormalities with clinical disability measures, demonstrating that gait deviations are more severe in PwMS with higher disability and walking limitations.]

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Analyzing Gait Alterations in Multiple Sclerosis Using Statistical Mapping and Profile Scores

This study combines Gait Profile Score and Statistical Parametric Mapping to analyze walking differences in multiple sclerosis patients, revealing joint and phase alterations that correlate with disability levels.

Medicine RTCL TV · Oct 26, 2023 15 views

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