Electroencephalographic β‐band oscillations in the sensorimotor network reflect motor symptom severity in amyotrophic lateral sclerosis

  • Background and purpose Resting-state electroencephalography (EEG) holds promise for assessing brain networks in amyotrophic lateral sclerosis (ALS). We investigated whether neural β-band oscillations in the sensorimotor network could serve as an objective quantitative measure of progressive motor impairment and functional disability in ALS patients. Methods Resting-state EEG was recorded in 18 people with ALS and 38 age- and gender-matched healthy controls. We estimated source-localized β-band spectral power in the sensorimotor cortex. Clinical evaluation included lower (LMN) and upper motor neuron scores, Amyotrophic Lateral Sclerosis Functional Rating Scale–Revised score, fine motor function (FMF) subscore, and progression rate. Correlations between clinical scores and β-band power were analysed and corrected using a false discovery rate of q = 0.05. Results β-Band power was significantly lower in people with ALS than controls (p = 0.004), and correlated with LMN scoreBackground and purpose Resting-state electroencephalography (EEG) holds promise for assessing brain networks in amyotrophic lateral sclerosis (ALS). We investigated whether neural β-band oscillations in the sensorimotor network could serve as an objective quantitative measure of progressive motor impairment and functional disability in ALS patients. Methods Resting-state EEG was recorded in 18 people with ALS and 38 age- and gender-matched healthy controls. We estimated source-localized β-band spectral power in the sensorimotor cortex. Clinical evaluation included lower (LMN) and upper motor neuron scores, Amyotrophic Lateral Sclerosis Functional Rating Scale–Revised score, fine motor function (FMF) subscore, and progression rate. Correlations between clinical scores and β-band power were analysed and corrected using a false discovery rate of q = 0.05. Results β-Band power was significantly lower in people with ALS than controls (p = 0.004), and correlated with LMN score (R = −0.65, p = 0.013), FMF subscore (R = −0.53, p = 0.036), and FMF progression rate (R = 0.52, p = 0.036). Conclusions β-Band spectral power in the sensorimotor cortex reflects clinically evaluated motor impairment in ALS. This technology merits further investigation as a biomarker of progressive functional disability.show moreshow less

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Author:Stefan Dukic, Antonio Fasano, Amina Coffey, Teresa Buxó, Roisin McMackin, Rangariroyashe Chipika, Mark Heverin, Peter Bede, Muthuraman MuthuramanORCiDGND, Madeleine Lowery, Richard G. Carson, Orla Hardiman, Bahman Nasseroleslami
URN:urn:nbn:de:bvb:384-opus4-1139408
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/113940
ISSN:1351-5101OPAC
ISSN:1468-1331OPAC
Parent Title (English):European Journal of Neurology
Publisher:Wiley
Type:Article
Language:English
Year of first Publication:2024
Publishing Institution:Universität Augsburg
Release Date:2024/07/10
Volume:31
Issue:4
First Page:e16201
DOI:https://doi.org/10.1111/ene.16201
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Professur für Informatik in der Medizintechnik
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)