School of Psychology, University of Ottawa, Ottawa, ON, Canada.
University of Ottawa, The Royal's Institute of Mental Health Research, Brain and Mind Research Institute, Ottawa, ON, Canada.
Commun Biol. 2024 Nov 19;7(1):1538. doi: 10.1038/s42003-024-07235-w.
The human brain is tightly connected to the individual's environment and its input dynamics. How the dynamics of periodic environmental stimuli influence neural activity and subsequent behavior via neural entrainment or alignment is not fully clear yet, though. This study explores how periodic environmental stimuli influence neural activity and behavior. EEG data was collected during a Go-NoGo task with a periodic intertrial interval (ITI) of 1.3 s (0.769 Hz). Results showed that the task's temporal structure increased power spectrum activity at 0.769 Hz, which showed high intersubject variability. Higher task-periodicity effects were linked to stronger phase-based intertrial coherence (ITC) and reduced neural complexity, as measured by lower Lempel-Ziv Complexity (LZC). Additionally, higher periodicity in the power spectrum correlated with faster reaction times and stronger response bias. We conclude that the encoding of the inputs' dynamics into the brains power spectrum shapes subsequent behavior, e.g., RT and response bias, through reducing neural complexity.
人类大脑与个体所处的环境及其输入动态紧密相连。然而，周期性环境刺激的动态如何通过神经同步或调整来影响神经活动和随后的行为，目前还不完全清楚。本研究探讨了周期性环境刺激如何影响神经活动和行为。在一个 Go-NoGo 任务中采集了 EEG 数据，其试验间间隔（ITI）为 1.3 秒（0.769Hz）。结果表明，任务的时间结构增加了 0.769Hz 处的功率谱活动，表现出高度的个体间可变性。更高的任务周期性效应与更强的基于相位的试验间相干性（ITC）和更低的神经复杂性（以更低的 Lempel-Ziv 复杂性（LZC）衡量）相关。此外，频谱中的更高周期性与更快的反应时间和更强的反应偏差相关。我们得出结论，大脑频谱中对输入动态的编码塑造了随后的行为，例如反应时间和反应偏差，通过降低神经复杂性来实现。
