Department of Philosophy, Sociology, Education and Applied Psychology, University of Padova, Padua, Italy.
Biomedical Engineering Group, University of Valladolid, Valladolid, Spain; Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Valladolid, Spain.
Neuroimage. 2021 Feb 1;226:117579. doi: 10.1016/j.neuroimage.2020.117579. Epub 2020 Nov 20.
The brain exhibits a complex temporal structure which translates into a hierarchy of distinct neural timescales. An open question is how these intrinsic timescales are related to sensory or motor information processing and whether these dynamics have common patterns in different behavioral states. We address these questions by investigating the brain's intrinsic timescales in healthy controls, motor (amyotrophic lateral sclerosis, locked-in syndrome), sensory (anesthesia, unresponsive wakefulness syndrome), and progressive reduction of sensory processing (from awake states over N1, N2, N3). We employed a combination of measures from EEG resting-state data: auto-correlation window (ACW), power spectral density (PSD), and power-law exponent (PLE). Prolonged neural timescales accompanied by a shift towards slower frequencies were observed in the conditions with sensory deficits, but not in conditions with motor deficits. Our results establish that the spontaneous activity's intrinsic neural timescale is related to the neural capacity that specifically supports sensory rather than motor information processing in the healthy brain.
大脑表现出复杂的时间结构,转化为独特的神经时间尺度层次结构。一个悬而未决的问题是这些内在时间尺度如何与感觉或运动信息处理相关,以及这些动力学在不同行为状态下是否具有共同的模式。我们通过研究健康对照者、运动(肌萎缩性侧索硬化症、闭锁综合征)、感觉(麻醉、无反应性觉醒综合征)和感觉处理逐渐减少(从清醒状态经过 N1、N2、N3)的大脑内在时间尺度来解决这些问题。我们采用 EEG 静息态数据的多种测量方法:自相关窗口 (ACW)、功率谱密度 (PSD) 和幂律指数 (PLE)。在有感觉缺陷的情况下,观察到延长的神经时间尺度伴随着向较慢频率的转变,但在有运动缺陷的情况下则没有。我们的结果表明,自发活动的内在神经时间尺度与特定支持感觉而不是运动信息处理的神经能力有关,这在健康大脑中是如此。