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Neural Network of Predictive Motor Timing in the Context of Gender Differences

机译:性别差异背景下的预测运动时间神经网络

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摘要

Time perception is an essential part of our everyday lives, in both the prospective and the retrospective domains. However, our knowledge of temporal processing is mainly limited to the networks responsible for comparing or maintaining specific intervals or frequencies. In the presented fMRI study, we sought to characterize the neural nodes engaged specifically in predictive temporal analysis, the estimation of the future position of an object with varying movement parameters, and the contingent neuroanatomical signature of differences in behavioral performance between genders. The established dominant cerebellar engagement offers novel evidence in favor of a pivotal role of this structure in predictive short-term timing, overshadowing the basal ganglia reported together with the frontal cortex as dominant in retrospective temporal processing in the subsecond spectrum. Furthermore, we discovered lower performance in this task and massively increased cerebellar activity in women compared to men, indicative of strategy differences between the genders. This promotes the view that predictive temporal computing utilizes comparable structures in the retrospective timing processes, but with a definite dominance of the cerebellum.
机译:在预期和追溯领域中,时间感知都是我们日常生活的重要组成部分。但是,我们对时间处理的知识主要限于负责比较或维护特定间隔或频率的网络。在提出的功能磁共振成像研究中,我们试图表征参与预测性时间分析的神经节点,具有变化运动参数的物体的未来位置的估计以及性别之间行为表现差异的偶然神经解剖学特征。建立的占优势的小脑参与提供了新的证据,表明该结构在预测的短期时机中起着关键作用,从而使报道的基底神经节和额叶皮层成为亚秒谱回顾性颞叶处理中的优势。此外,我们发现与男性相比,女性在此任务中的表现较低,小脑活动大大增加,这表明性别之间的策略差异。这引起了这样一种观点,即预测性时间计算在回顾性时序过程中利用了可比的结构,但在小脑中具有明显的优势。

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