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Effects on Motor Control of Personalized Neuromodulation Against Multiple Sclerosis Fatigue.
- Source :
-
Brain topography [Brain Topogr] 2021 May; Vol. 34 (3), pp. 363-372. Date of Electronic Publication: 2021 Mar 03. - Publication Year :
- 2021
-
Abstract
- Fatigue is a hidden symptom of Multiple Sclerosis (MS) disease that nevertheless impacts severely on patients' everyday life. Evidence indicates the involvement of the sensorimotor network and its inter-nodes communication at the basis of this symptom. Two randomized controlled trials (RCTs) showed that the personalized neuromodulation called Fatigue Relief in Multiple Sclerosis (FaReMuS) efficaciously fights multiple sclerosis (MS) fatigue. By this Proof of Concept study, we tested whether FaReMuS reverts the alteration of the brain-muscular synchronization previously observed occurring with fatigue. The cortico muscular coherence (CMC) was studied in 11 patients before and after FaReMuS, a 5-day tDCS (1.5 mA, 15 min per day) anodal over the whole body's somatosensory representation (S1) via a personalized MRI-based electrode (35 cm <superscript>2</superscript> ) against the occipital cathode (70 cm <superscript>2</superscript> ). Before FaReMuS, the CMC was observed at a mean frequency of 31.5 ± 1.6 Hz (gamma-band) and positively correlated with the level of fatigue (p = .027). After FaReMuS, fatigue reduced in average of 28% ± 33% the baseline level, and the CMC frequency reduced to 26.6 ± 1.5 Hz (p = .022), thus forthcoming the physiological beta-band as observed in healthy people. The personalized S1 neuromodulation treatment, ameliorating the central-peripheral communication that subtends simple everyday movements, supports the appropriateness of neuromodulations aiming at increasing the parietal excitability in fighting MS fatigue. The relationship between central-peripheral features and fatigue profile strengthens a central more than peripheral origin of the symptom.
Details
- Language :
- English
- ISSN :
- 1573-6792
- Volume :
- 34
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Brain topography
- Publication Type :
- Academic Journal
- Accession number :
- 33656622
- Full Text :
- https://doi.org/10.1007/s10548-021-00820-w