Barry Robert J, De Blasio Frances M, Clarke Adam R, Duda Alexander T, Munford Beckett S
Brain & Behaviour Research Institute, School of Psychology, University of Wollongong, Wollongong, NSW 2522, Australia.
Brain Sci. 2024 Aug 28;14(9):868. doi: 10.3390/brainsci14090868.
Detailed studies of the equiprobable auditory Go/NoGo task have allowed for the development of a sequential-processing model of the perceptual and cognitive processes involved. These processes are reflected in various components differentiating the Go and NoGo event-related potentials (ERPs). It has long been established that electroencephalography (EEG) changes through normal lifespan development. It is also known that ERPs and behaviour in the equiprobable auditory Go/NoGo task change from children to young adults, and again in older adults. Here, we provide a novel examination of links between in-task prestimulus EEG, poststimulus ERPs, and behaviour in three gender-matched groups: children (8-12 years), young adults (18-24 years), and older adults (59-74 years). We used a frequency Principal Component Analysis (f-PCA) to estimate prestimulus EEG components and a temporal Principal Component Analysis (t-PCA) to separately estimate poststimulus ERP Go and NoGo components in each age group to avoid misallocation of variance. The links between EEG components, ERP components, and behavioural measures differed markedly between the groups. The young adults performed best and accomplished this with the simplest EEG-ERP-behaviour brain dynamics pattern. The children performed worst, and this was reflected in the most complex brain dynamics pattern. The older adults showed some reduction in performance, reflected in an EEG-ERP-behaviour pattern with intermediate complexity between those of the children and young adults. These novel brain dynamics patterns hold promise for future developmental research.
对 equiprobable 听觉 Go/NoGo 任务的详细研究,使得涉及的感知和认知过程的序列处理模型得以发展。这些过程反映在区分 Go 和 NoGo 事件相关电位(ERP)的各个成分中。长期以来已经确定,脑电图(EEG)在正常的生命周期发展过程中会发生变化。还已知在 equiprobable 听觉 Go/NoGo 任务中,ERP 和行为从儿童到年轻人会发生变化,在老年人中又会再次变化。在此,我们对三个性别匹配组(儿童(8 - 12 岁)、年轻人(18 - 24 岁)和老年人(59 - 74 岁))任务中的刺激前 EEG、刺激后 ERP 和行为之间的联系进行了新颖的研究。我们使用频率主成分分析(f - PCA)来估计刺激前 EEG 成分,并使用时间主成分分析(t - PCA)分别估计每个年龄组刺激后 ERP 的 Go 和 NoGo 成分,以避免方差的错误分配。EEG 成分、ERP 成分和行为测量之间的联系在不同组之间有显著差异。年轻人表现最佳,并且通过最简单的 EEG - ERP - 行为脑动力学模式实现了这一点。儿童表现最差,这反映在最复杂的脑动力学模式中。老年人的表现有所下降,反映在一种 EEG - ERP - 行为模式中,其复杂性介于儿童和年轻人之间。这些新颖的脑动力学模式为未来的发展研究带来了希望。