# Cerebellar volume measures may differentiate multiple sclerosis fallers from non-fallers

## TL;DR

This study shows that cerebellar volume differences can help distinguish multiple sclerosis patients who fall from those who do not.

## Contribution

The study introduces a novel application of a parcellation algorithm to identify cerebellar regions linked to fall risk in multiple sclerosis.

## Key findings

- PwMS showed reduced cerebellar volumes in specific regions compared to controls.
- MS fallers had more pronounced volumetric differences than non-fallers.
- Cerebellar volumes correlated with motor and cognitive performance in PwMS.

## Abstract

The cerebellum is a common lesion site in persons with multiple sclerosis (PwMS). Physiologic and anatomic studies have identified a topographic organization of the cerebellum including functionally distinct motor and cognitive areas. This study implemented a recent parcellation algorithm developed by Han et al., 2020 to a sample of PwMS and healthy controls to examine relationships among specific cerebellar regions, fall status, and common clinical measures of motor and cognitive functions.

Thirty-one PwMS and 29 age and sex-matched controls underwent an MRI scan and motor and cognitive testing. The parcellation algorithm was applied to all images and divided the cerebellum into 28 regions. Mann-Whitney U tests were used to compare cerebellar volumes among PwMS and controls, and MS fallers and MS non-fallers. Relationships between cerebellar volumes and motor and cognitive function was evaluated using Spearman correlations.

PwMS performed significantly worse on functional measures compared to controls. We found significant differences in volumetric measures between PwMS and controls in the corpus medullare, lobules I-III, and lobule V. Volumetric differences seen between PwMS and controls were primarily driven by the MS fallers. Finally, functional performance on motor and cognitive tasks was associated with cerebellar volumes.

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