Cerebellar Volume Measures Differentiate Multiple Sclerosis Fallers from Non-Fallers

Using the parcellation tool, our results showed that the volumes of motor and cognitive lobules impact both motor and cognitive performance, and that functional performance and cerebellar volumes distinguishes the MS fallers from non-fallers. Future studies should explore the potential of cerebellar imaging to predict falls in PwMS.

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Publication Details

Journal
Brain Sciences
Published
2025-01-16
DOI
https://doi.org/10.3390/brainsci15010077
Citations
3
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
4.08

Funders

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article

Cerebellar Volume Measures Differentiate Multiple Sclerosis Fallers from Non-Fallers

Erin M. Edwards, Jennie Feldpausch, Taylor N. Takla, Nora E. Fritz et al.
3 citations
Brain Sciences
Advanced Neuroimaging Techniques and Applications
4.08
article

Cerebellar Volume Measures Differentiate Multiple Sclerosis Fallers from Non-Fallers

Erin M. Edwards, Jennie Feldpausch, Taylor N. Takla, Nora E. Fritz, Kathleen M. Zackowski, Peter A. Calabresi, Jerry L. Prince, Shuo Han
article en
3 citations

Abstract

Using the parcellation tool, our results showed that the volumes of motor and cognitive lobules impact both motor and cognitive performance, and that functional performance and cerebellar volumes distinguishes the MS fallers from non-fallers. Future studies should explore the potential of cerebellar imaging to predict falls in PwMS.

Brain SciencesVol. 15(1)
Kennedy Krieger Institute (US), Johns Hopkins University (US), Wayne State University (US), Johns Hopkins Medicine (US)
National Institutes of Health
Good health and well-being
Openalex Percentile: Top 8%
Advanced Neuroimaging Techniques and Applications
4.08
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Cerebellar Volume Measures Differentiate Multiple Sclerosis Fallers from Non-Fallers — Erin M. Edwards, Jennie Feldpausch, et al. · Brain Sciences (2025) | TGRS Research Map | TGRS