脑电图
BETA(编程语言)
神经科学
心理学
β节律
预测(人工智能)
认知
阿尔法(金融)
事件相关电位
听力学
肌萎缩侧索硬化
大脑活动与冥想
医学
人工智能
发展心理学
计算机科学
内科学
心理测量学
程序设计语言
结构效度
疾病
作者
Roisin McMackin,Stefan Dukic,Emmet Costello,Marta Pinto‐Grau,Orla Keenan,Antonio Fasano,Teresa Buxó,Mark Heverin,Richard B. Reilly,Niall Pender,Orla Hardiman,Bahman Nasseroleslami
出处
期刊:Journal of Neural Engineering
[IOP Publishing]
日期:2021-01-04
卷期号:18 (2): 026006-026006
被引量:14
标识
DOI:10.1088/1741-2552/abd829
摘要
Objective.To characterize the cortical oscillations associated with performance of the sustained attention to response task (SART) and their disruptions in the neurodegenerative condition amyotrophic lateral sclerosis (ALS).Approach.A randomised SART was undertaken by 24 ALS patients and 33 healthy controls during 128-channel electroencephalography (EEG). Complex Morlet wavelet transform was used to quantify non-phase-locked oscillatory activity in event-related spectral perturbations associated with performing the SART. We investigated the relationships between these perturbations and task performance, and associated motor and cognitive changes in ALS.Main results.SART induced theta-band event-related synchronization (ERS) and alpha- and beta-band event-related desynchronization (ERD), followed by rebound beta ERS, in both Go and NoGo trials across the frontoparietal axis, with NoGo trials eliciting greater theta ERS and lesser beta ERS. Controls with greater Go trial beta ERS performed with greater speed and less accuracy. ALS patients exhibited increased anticipation compared to controls but similar reaction times and accuracy. Prefrontal (area under the receiver operating characteristic curve (AUROC) = 0.8, Cohen'sd= 0.97) and parietal (AUROC = 0.82, Cohen'sd= 1.12) beta-band ERD was significantly reduced in ALS but did not relate to performance, while patients with higher Edinburgh Cognitive and Behavioural ALS Screen (ECAS) ALS-specific scores demonstrated greater ERS in beta (rho = 0.72) upon successful withholding.Significance.EEG measurement of task-related oscillation changes reveals variation in cortical network engagement in relation to speed versus accuracy strategies. Such measures can also capture cognitive and motor network pathophysiology in the absence of task performance decline, which may facilitate development of more sensitive early neurodegenerative disease biomarkers.
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