Herzog Nadine D, Steinfath Tim P, Tarrasch Ricardo
Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
School of Education and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
Front Neurosci. 2021 Mar 22;15:632922. doi: 10.3389/fnins.2021.632922. eCollection 2021.
Sustained attention is the ability to continually concentrate on task-relevant information, even in the presence of distraction. Understanding the neural mechanisms underlying this ability is critical for comprehending attentional processes as well as neuropsychiatric disorders characterized by attentional deficits, such as attention deficit hyperactivity disorder (ADHD). In this study, we aimed to investigate how trait-like critical oscillations during rest relate to the P300 evoked potential-a biomarker commonly used to assess attentional deficits. We measured long-range temporal correlations (LRTC) in resting-state EEG oscillations as index for criticality of the signal. In addition, the attentional performance of the subjects was assessed as reaction time variability (RTV) in a continuous performance task following an oddball paradigm. P300 amplitude and latencies were obtained from EEG recordings during this task. We found that, after controlling for individual variability in task performance, LRTC were positively associated with P300 amplitudes but not latencies. In line with previous findings, good performance in the sustained attention task was related to higher P300 amplitudes and earlier peak latencies. Unexpectedly, we observed a positive relationship between LRTC in ongoing oscillations during rest and RTV, indicating that greater criticality in brain oscillations during rest relates to worse task performance. In summary, our results show that resting-state neuronal activity, which operates near a critical state, relates to the generation of higher P300 amplitudes. Brain dynamics close to criticality potentially foster a computationally advantageous state which promotes the ability to generate higher event-related potential (ERP) amplitudes.
持续注意力是即使在存在干扰的情况下仍能持续专注于与任务相关信息的能力。了解这种能力背后的神经机制对于理解注意力过程以及以注意力缺陷为特征的神经精神疾病(如注意力缺陷多动障碍(ADHD))至关重要。在本研究中,我们旨在探究静息状态下类似特质的临界振荡如何与P300诱发电位相关,P300诱发电位是一种常用于评估注意力缺陷的生物标志物。我们测量静息态脑电图振荡中的长程时间相关性(LRTC)作为信号临界性的指标。此外,在遵循奇偶数范式的连续执行任务中,将受试者的注意力表现评估为反应时间变异性(RTV)。在此任务期间,从脑电图记录中获取P300波幅和潜伏期。我们发现,在控制任务表现的个体变异性后,LRTC与P300波幅呈正相关,但与潜伏期无关。与先前的研究结果一致,持续注意力任务中的良好表现与较高的P300波幅和较早的峰值潜伏期相关。出乎意料的是,我们观察到静息状态下正在进行的振荡中的LRTC与RTV之间存在正相关,这表明静息状态下大脑振荡的更高临界性与更差的任务表现相关。总之,我们的结果表明,处于临界状态附近的静息态神经元活动与更高的P300波幅的产生有关。接近临界状态的脑动力学可能促进一种计算上有利的状态,从而提高产生更高事件相关电位(ERP)波幅的能力。