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Journal Article

Predictors of training-related improvement in visuomotor performance in patients with multiple sclerosis: A behavioural and MRI study


Lipp,  Ilona
Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, United Kingdom;
Brain Research Imaging Centre, School of Psychology, Cardiff University, United Kingdom;
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Lipp, I., Foster, C., Stickland, R., Sgarlata, E., Tallantyre, E. C., Davidson, A. E., et al. (2021). Predictors of training-related improvement in visuomotor performance in patients with multiple sclerosis: A behavioural and MRI study. Multiple Sclerosis Journal, 27(7), 1088-1101. doi:10.1177/1352458520943788.

Cite as: https://hdl.handle.net/21.11116/0000-0006-ED9F-D

The development of tailored recovery-oriented strategies in multiple sclerosis requires early identification of an individual’s potential for functional recovery.

To identify predictors of visuomotor performance improvements, a proxy of functional recovery, using a predictive statistical model that combines demographic, clinical and magnetic resonance imaging (MRI) data.

Right-handed multiple sclerosis patients underwent baseline disability assessment and MRI of the brain structure, function and vascular health. They subsequently undertook 4 weeks of right upper limb visuomotor practice. Changes in performance with practice were our outcome measure. We identified predictors of improvement in a training set of patients using lasso regression; we calculated the best performing model in a validation set and applied this model to a test set.

Patients improved their visuomotor performance with practice. Younger age, better visuomotor abilities, less severe disease burden and concurrent use of preventive treatments predicted improvements. Neuroimaging localised outcome-relevant sensory motor regions, the microstructure and activity of which correlated with performance improvements.

Initial characteristics, including age, disease duration, visuo-spatial abilities, hand dexterity, self-evaluated disease impact and the presence of disease-modifying treatments, can predict functional recovery in individual patients, potentially improving their clinical management and stratification in clinical trials. MRI is a correlate of outcome, potentially supporting individual prognosis.