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脑电信号中的熵在抓握过程中随力的大小而变化——初步报告。

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

机构信息

Center for Neuromotor and Biomechanics Research, Department of Health and Human Performance, University of Houston, Houston, TX, USA.

Yale Child Study Center, Yale University, New Haven, CT, USA.

出版信息

J Mot Behav. 2024;56(6):665-677. doi: 10.1080/00222895.2024.2373241. Epub 2024 Jul 26.

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.

摘要

抓握物体的能力依赖于抓握过程中握持力控制的神经过程。在试验中平均化的、偏向对侧大脑半球的大脑活动与施加在物体上的握持力有关。然而,在握持力控制过程中,试验内神经变异性的参与仍不清楚。我们使用非侵入性脑电图(EEG)检查了与握力大小相关的额、中、顶感兴趣区域(ROI)内神经变异性的依赖性。我们利用现有的 EEG 数据集,该数据集由执行等长力控制任务的健康年轻成年人组成,他们在试验中被提示施加其最大自主收缩(MVC)的 5%、10%或 15%,并收到他们握持力的视觉反馈。我们通过 ROI 中的样本熵(序列相关)和标准差(序列独立测量)量化 EEG 信号的变异性。我们发现,随着力的大小,在中央电极上的 EEG 样本熵中存在侧向调制,但在前额或顶叶电极上则没有。然而,在 EEG 活动中没有观察到标准偏差的调制。这些发现突出了 EEG 变异性中序列相关但不是序列独立成分的侧向和空间约束调制。我们将这些发现置于需要更精细精度的应用中(例如,假肢),并提出了未来研究中探索神经熵在行为中的作用的方向。

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