Back to Search
Start Over
Electroencephalography-Derived Sensory and Motor Network Topology in Multiple Sclerosis Fatigue.
- Source :
-
Neurorehabilitation and neural repair [Neurorehabil Neural Repair] 2017 Jan; Vol. 31 (1), pp. 56-64. Date of Electronic Publication: 2016 Jul 01. - Publication Year :
- 2017
-
Abstract
- People with multiple sclerosis (MS) frequently complain of excessive fatigue, which is the most disabling symptom for half of them. While the few drugs used to treat MS fatigue are of limited utility, we recently observed the efficacy of a personalized neuromodulation treatment. Here, we aim at strengthening knowledge of the brain network changes that occur when MS fatigue increases, using graph theory. We collected electroencephalographic (EEG; 23 or 64 channels) data in resting state with eyes open in 27 relapsing-remitting (RR) patients with mild MS (EDSS ≤2), suffering a wide range of fatigue as scored by the modified Fatigue Impact Scale (mFIS) (2-69, within a total range 0-84). To estimate graph theory small-world index (SW), we calculated the lagged linear coherence between EEG cortical eLORETA sources, in the standard frequency bands delta (2-4 Hz), theta (4-8 Hz), alpha1 (8-10.5 Hz), alpha2 (10.5-13 Hz), beta1 (13-20 Hz), beta2 (20-30 Hz), and gamma (30-45 Hz). We calculated the SW of these undirected and weighted networks separately in the four left and right frontal (motor) and parieto-occipito-temporal (sensory) brain networks. A correlative analysis demonstrated increased fatigue symptoms along with the SW specifically in the Sensory network of the left dominant hemisphere in the beta1 band (Pearson's r = 0.404, P = .020). Our study indicates a specific involvement of the dominant-hemisphere sensory network in MS fatigue. It suggests that compensatory neuromodulation interventions could enhance efficacy in relieving this debilitating symptom by targeting this area.<br /> (© The Author(s) 2016.)
- Subjects :
- Adult
Disability Evaluation
Female
Functional Laterality
Humans
Linear Models
Male
Neural Pathways physiopathology
Severity of Illness Index
Signal Processing, Computer-Assisted
Young Adult
Brain physiopathology
Electroencephalography
Fatigue etiology
Fatigue physiopathology
Multiple Sclerosis, Relapsing-Remitting complications
Multiple Sclerosis, Relapsing-Remitting physiopathology
Subjects
Details
- Language :
- English
- ISSN :
- 1552-6844
- Volume :
- 31
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Neurorehabilitation and neural repair
- Publication Type :
- Academic Journal
- Accession number :
- 27370602
- Full Text :
- https://doi.org/10.1177/1545968316656055