Multiple sclerosis is a severe neurodegenerative condition that significantly affects the motor and cognitive abilities of patients. However, the mechanisms of the disease are not yet fully understood. It has been hypothesized that regular neurorehabilitation may stimulate brain plasticity mechanisms and thus slow the progression of the disease. Indeed, studies reported evidence of the positive effect of neurorehabilitation on functional reorganization. However, this research is currently limited to mostly small datasets, which raises concerns about wider interpretation and generalization of results. We aim to contribute to this field of research by sharing the resting-state fMRI time-series data of sixty multiple sclerosis patients before and after neurorehabilitation treatment. fMRI is a well-established modality for studying neurological conditions, allowing for a broad spectrum of analytical approaches and, therefore, benefits for the wider scientific community. We believe the publication of this dataset will promote research and improve the reproducibility of future reports. Creators: Institute of Computer Science of the Czech Academy of Sciences; National Institute of...
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The Effect of Neurorehabilitation on Multiple Sclerosis is published on Viral AI.