Semantic networks in relapsing-remitting multiple sclerosis exhibit reduced efficiency, interconnectivity, and flexibility

Word-finding concerns are prevalent in pwRRMS; it is important to screen for and address these concerns in clinical settings. Semantic network analysis appears more sensitive in detecting semantic retrieval deficits in pwRRMS relative to standard semantic fluency metrics. Semantic network disorganization and inflexibility may partially underlie word-finding difficulty in pwRRMS. Strategies aimed at improving network structure may assist in managing these deficits.

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Publication Details

Journal
Multiple Sclerosis Journal - Experimental Translational and Clinical
Published
2025-10-01
DOI
https://doi.org/10.1177/20552173251348306
Primary Topic
Neurobiology of Language and Bilingualism
Type
article
Field-Weighted Citation Impact
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article

Semantic networks in relapsing-remitting multiple sclerosis exhibit reduced efficiency, interconnectivity, and flexibility

Sophia Lall, Joshua Sandry, Jennifer Pardo
Multiple Sclerosis Journal - Experimental Translational and Clinical
Neurobiology of Language and Bilingualism
article

Semantic networks in relapsing-remitting multiple sclerosis exhibit reduced efficiency, interconnectivity, and flexibility

Sophia Lall, Joshua Sandry, Jennifer Pardo
article en

Abstract

Word-finding concerns are prevalent in pwRRMS; it is important to screen for and address these concerns in clinical settings. Semantic network analysis appears more sensitive in detecting semantic retrieval deficits in pwRRMS relative to standard semantic fluency metrics. Semantic network disorganization and inflexibility may partially underlie word-finding difficulty in pwRRMS. Strategies aimed at improving network structure may assist in managing these deficits.

Multiple Sclerosis Journal - Experimental Translational and ClinicalVol. 11(4)
Montclair State University (US)
Openalex Percentile: Top 60%
Neurobiology of Language and Bilingualism
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