Differential Complexity of Information Processing During Motor Imagination in Adults Versus Children.

IF 1.1 Q4 NEUROSCIENCES

Basic and Clinical Neuroscience Pub Date : 2025-01-01 Epub Date: 2025-03-18 DOI:10.32598/bcn.2023.5705.1

Jahangir Mobarezpour, Zahra Latifi, Reza Ghaderi

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引用次数: 0

Abstract

Introduction: Motor imagination is a dynamic mental state that simulates a similar brain mechanism to actual physical movement. This brain mechanism could be traced using Electroencephalography (EEG) recording during motor imagination. Nevertheless, it is still unclear how development changes this mechanism. As the brain mechanism of motor imagination must gain expertise during development to enable a subject to perform better motor actions, we hypothesized that the brain mechanism of imagination in adults must have a more complex pattern of information processing than in children.

Methods: We recorded the EEG signals of 10 boys and 9 male adults during right- and left-hand motor imaginations. Subsequently, the complexity of EEG signals was estimated by applying Higuchi's fractal dimension (HFD) to the cleaned EEG data.

Results: The results presented a significant increase of HFD in the adults (P<0.05, family-wised error corrected) in all the EEG channels compared to the children. An increase in HFD presents a more complex pattern of information processing in adults, which advances their ability to perform motor tasks.

Conclusion: This advancement in adults could be created by information compression at higher levels than in children. We hope these findings pave the way to a better understanding brain functions and mechanisms.

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成人与儿童运动想象过程中信息加工复杂性的差异。

运动想象是一种动态的精神状态，它模拟了与实际身体运动相似的大脑机制。这种脑机制可以通过运动想象时的脑电图记录来追踪。然而，目前尚不清楚发展如何改变这一机制。由于运动想象的大脑机制必须在发育过程中获得专业知识才能使被试进行更好的运动动作，我们假设成人的大脑想象机制必须具有比儿童更复杂的信息处理模式。方法：对10名男孩和9名成年男性进行左、右运动想象时的脑电图信号进行记录。随后，利用Higuchi分形维数（HFD）对清洗后的脑电信号进行复杂度估计。结果：成人HFD显著增加(p结论：成人HFD的提高可能是由于信息压缩水平高于儿童。我们希望这些发现能为更好地理解大脑功能和机制铺平道路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Basic and Clinical Neuroscience NEUROSCIENCES-

CiteScore

2.60

自引率

0.00%

发文量

审稿时长

4 weeks

期刊介绍： BCN is an international multidisciplinary journal that publishes editorials, original full-length research articles, short communications, reviews, methodological papers, commentaries, perspectives and “news and reports” in the broad fields of developmental, molecular, cellular, system, computational, behavioral, cognitive, and clinical neuroscience. No area in the neural related sciences is excluded from consideration, although priority is given to studies that provide applied insights into the functioning of the nervous system. BCN aims to advance our understanding of organization and function of the nervous system in health and disease, thereby improving the diagnosis and treatment of neural-related disorders. Manuscripts submitted to BCN should describe novel results generated by experiments that were guided by clearly defined aims or hypotheses. BCN aims to provide serious ties in interdisciplinary communication, accessibility to a broad readership inside Iran and the region and also in all other international academic sites, effective peer review process, and independence from all possible non-scientific interests. BCN also tries to empower national, regional and international collaborative networks in the field of neuroscience in Iran, Middle East, Central Asia and North Africa and to be the voice of the Iranian and regional neuroscience community in the world of neuroscientists. In this way, the journal encourages submission of editorials, review papers, commentaries, methodological notes and perspectives that address this scope.