Krystecka Klaudia, Stanczyk Magdalena, Magnuski Mikolaj, Szelag Elzbieta, Szymaszek Aneta
Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland.
Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland.
Brain Res Bull. 2024 Sep;215:111010. doi: 10.1016/j.brainresbull.2024.111010. Epub 2024 Jun 11.
It is known that Temporal Information Processing (TIP) underpins our cognitive functioning. Previous research has focused on the relationship between TIP efficiency and oscillatory brain activity, especially the gamma rhythm; however, non-oscillatory (aperiodic or 1/f) brain activity has often been missed. Recent studies have identified the 1/f component as being important for the functioning of the brain. Therefore, the current study aimed to verify whether TIP efficiency is associated with specific EEG resting state cortical activity patterns, including oscillatory and non-oscillatory (aperiodic) brain activities. To measure individual TIP efficiency, we used two behavioral tasks in which the participant judges the order of two sounds separated by millisecond intervals. Based on the above procedure, participants were classified into two groups with high and low TIP efficiency. Using cluster-based permutation analyses, we examined between-group differences in oscillatory and non-oscillatory (aperiodic) components across the 1-90 Hz range. The results revealed that the groups differed in the aperiodic component across the 30-80 Hz range in fronto-central topography. In other words, participants with low TIP efficiency exhibited higher levels of aperiodic activity, and thus a flatter frequency spectrum compared to those with high TIP efficiency. We conclude that participants with low TIP efficiency display higher levels of 'neural noise', which is associated with poorer quality and speed of neural processing.
众所周知,时间信息处理(TIP)是我们认知功能的基础。以往的研究主要集中在TIP效率与大脑振荡活动之间的关系,尤其是伽马节律;然而,非振荡(非周期性或1/f)大脑活动常常被忽视。最近的研究已经确定1/f成分对大脑功能很重要。因此,本研究旨在验证TIP效率是否与特定的脑电图静息状态皮质活动模式相关,包括振荡和非振荡(非周期性)大脑活动。为了测量个体的TIP效率,我们使用了两项行为任务,让参与者判断间隔毫秒的两个声音的顺序。基于上述程序,参与者被分为TIP效率高和低的两组。使用基于聚类的置换分析,我们检查了1-90赫兹范围内振荡和非振荡(非周期性)成分的组间差异。结果显示,在额中央地形图中,两组在30-80赫兹范围内的非周期性成分存在差异。换句话说,与TIP效率高的参与者相比,TIP效率低的参与者表现出更高水平的非周期性活动,因此频谱更平坦。我们得出结论,TIP效率低的参与者表现出更高水平的“神经噪声”,这与神经处理的质量和速度较差有关。