Entropy in Electroencephalographic Signals Modulates with Force Magnitude During Grasping - A Preliminary Report.

IF 1.1 4区 心理学 Q4 NEUROSCIENCES Journal of Motor Behavior Pub Date : 2024-07-26 DOI:10.1080/00222895.2024.2373241
Nishant Rao, Andrew Paek, Jose L Contreras-Vidal, Pranav J Parikh
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Abstract

The ability to hold objects relies on neural processes underlying grip force control during grasping. Brain activity lateralized to contralateral hemisphere averaged over trials is associated with grip force applied on an object. However, the involvement of neural variability within-trial during grip force control remains unclear. We examined dependence of neural variability over frontal, central, and parietal regions of interest (ROI) on grip force magnitude using noninvasive electroencephalography (EEG). We utilized our existing EEG dataset comprised of healthy young adults performing an isometric force control task, cued to exert 5, 10, or 15% of their maximum voluntary contraction (MVC) across trials and received visual feedback of their grip force. We quantified variability in EEG signal via sample entropy (sequence-dependent) and standard deviation (sequence-independent measure) over ROI. We found lateralized modulation in EEG sample entropy with force magnitude over central electrodes but not over frontal or parietal electrodes. However, modulation was not observed for standard deviation in the EEG activity. These findings highlight lateralized and spatially constrained modulation in sequence-dependent, but not sequence-independent component of EEG variability. We contextualize these findings in applications requiring finer precision (e.g., prosthesis), and propose directions for future studies investigating role of neural entropy in behavior.

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抓握过程中脑电信号的熵随力的大小而变化--初步报告。
抓握物体的能力取决于抓握过程中控制握力的神经过程。大脑活动偏向对侧半球的试验平均值与施加在物体上的握力有关。然而,在抓握力控制过程中,神经变异在试验内的参与情况仍不清楚。我们利用无创脑电图(EEG)研究了额叶、中央和顶叶感兴趣区(ROI)的神经变异性对握力大小的依赖性。我们利用了现有的脑电图数据集,这些数据集由执行等长力控制任务的健康年轻人组成,他们在试验中被提示使出最大自主收缩力(MVC)的 5%、10% 或 15%,并接受握力的视觉反馈。我们通过样本熵(与序列相关)和标准偏差(与序列无关的测量方法)对 ROI 上的脑电信号变异性进行了量化。我们发现,在中央电极上,脑电图样本熵随力量大小而发生侧向调制,但在额叶或顶叶电极上则没有。然而,在脑电活动的标准偏差中却没有观察到调制。这些发现突显了脑电图变异性中与序列相关而与序列无关的部分的侧向和空间约束调制。我们将这些发现与需要更高精度的应用(如假肢)相结合,并提出了未来研究神经熵在行为中作用的方向。
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来源期刊
Journal of Motor Behavior
Journal of Motor Behavior 医学-神经科学
CiteScore
3.10
自引率
0.00%
发文量
39
审稿时长
>12 weeks
期刊介绍: The Journal of Motor Behavior, a multidisciplinary journal of movement neuroscience, publishes articles that contribute to a basic understanding of motor control. Articles from different disciplinary perspectives and levels of analysis are encouraged, including neurophysiological, biomechanical, electrophysiological, psychological, mathematical and physical, and clinical approaches. Applied studies are acceptable only to the extent that they provide a significant contribution to a basic issue in motor control. Of special interest to the journal are those articles that attempt to bridge insights from different disciplinary perspectives to infer processes underlying motor control. Those approaches may embrace postural, locomotive, and manipulative aspects of motor functions, as well as coordination of speech articulators and eye movements. Articles dealing with analytical techniques and mathematical modeling are welcome.
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