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

Author:

Dukic Stefan12,Fasano Antonio1ORCID,Coffey Amina1,Buxó Teresa1,McMackin Roisin13,Chipika Rangariroyashe1,Heverin Mark1,Bede Peter4,Muthuraman Muthuraman5,Lowery Madeleine6,Carson Richard G.78,Hardiman Orla19,Nasseroleslami Bahman1ORCID

Affiliation:

1. Academic Unit of Neurology, School of Medicine, Trinity College Dublin University of Dublin Dublin Ireland

2. Department of Neurology, University Medical Centre Utrecht Brain Centre Utrecht University Utrecht the Netherlands

3. Discipline of Physiology, School of Medicine, Trinity College Dublin University of Dublin Dublin Ireland

4. Computational Neuroimaging Group, Trinity Biomedical Sciences Institute, Trinity College Dublin University of Dublin Dublin Ireland

5. Neural Engineering With Signal Analytics and Artificial Intelligence, Department of Neurology University of Würzburg Würzburg Germany

6. School of Electrical and Electronic Engineering University College Dublin Dublin Ireland

7. Trinity College Institute of Neuroscience and School of Psychology, Trinity College Dublin University of Dublin Dublin Ireland

8. School of Psychology Queen's University Belfast Belfast Ireland

9. Department of Neurology Beaumont Hospital Dublin Ireland

Abstract

AbstractBackground and purposeResting‐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.MethodsResting‐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.Resultsβ‐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).Conclusionsβ‐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.

Funder

Amyotrophic Lateral Sclerosis Association

Science Foundation Ireland

Irish Research Council

Publisher

Wiley

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Physiological Biomarkers of Upper Motor Neuron Dysfunction in ALS;Brain Sciences;2024-07-29

2. Brain Criticality and its Relation to BCI Operation;2024 12th International Winter Conference on Brain-Computer Interface (BCI);2024-02-26

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