Variations in Clustering of Multielectrode Local Field Potentials in the Motor Cortex of Macaque Monkeys during a Reach-and-Grasp Task.

IF 2.7 3区 医学 Q3 NEUROSCIENCES eNeuro Pub Date : 2024-09-27 Print Date: 2024-09-01 DOI:10.1523/ENEURO.0047-24.2024
Florian Chambellant, Ali Falaki, Ian Moreau-Debord, Robert French, Eleonore Serrano, Stephan Quessy, Numa Dancause, Elizabeth Thomas
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Abstract

There is experimental evidence of varying correlation among the elements of the neuromuscular system over the course of the reach-and-grasp task. The aim of this study was to investigate if modifications in correlations and clustering can be detected in the local field potential (LFP) recordings of the motor cortex during the task. To this end, we analyzed the LFP recordings from a previously published study on monkeys that performed a reach-and-grasp task for targets with a vertical or horizontal orientation. LFP signals were recorded from the motor and premotor cortex of macaque monkeys as they performed the task. We found very robust changes in the correlations of the multielectrode LFP recordings that corresponded to task epochs. Mean LFP correlation increased significantly during reach and then decreased during grasp. This pattern was very robust for both left and right arm reaches irrespective of target orientation. A hierarchical cluster analysis also demonstrated similar changes. In focusing on correlations, our study has contributed new insights to the understanding of LFP signals and their relationship to movement. A sliding window computation of the number of clusters was performed to probe the capacities of the LFP clusters for detecting upcoming task events. For a very high percentage of trials (97.89%), there was a downturn in cluster number following the Pellet Drop (GO signal) that reached a minimum preceding the Start of grasp, hence indicating that cluster analyses of LFPs could contribute to signaling an increased probability of the Start of grasp.

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猕猴运动皮层多电极局部场电位在伸抓任务中的聚类变化
有实验证据表明,在伸抓任务过程中,神经肌肉系统各要素之间存在不同的相关性。有几种神经肌肉疾病伴随着任务过程中肌肉耦合的异常。本研究的目的是探讨在执行任务时,运动皮层的局部场电位(LFP)记录是否能检测到相关性和聚类的变化。为此,我们分析了之前发表的一项研究中的 LFP 记录,该研究的对象是对垂直或水平方向的目标进行 "伸手抓握 "任务的猴子。在猕猴执行任务时,我们从它们的运动皮层和前运动皮层记录到了 LFP 信号。我们发现多电极 LFP 记录的相关性发生了非常强的变化,这些变化与任务时程相对应。平均 LFP 相关性在伸手过程中显著增加,然后在抓握过程中减少。无论目标方向如何,这种模式在左臂和右臂伸手过程中都非常稳定。分层聚类分析也得出了同样的结论--在伸手过程中,聚类数量减少,而在抓握过程中,聚类数量增加。由于之前的大多数 LFP 研究都集中在 LFP 振幅的问题上,我们的研究通过关注相关性,有助于理解这一信号及其与运动的关系。我们对集群数量进行了滑动窗口计算,以探究这些 LFP 集群检测即将发生的任务事件的能力。在很高比例的试验中(97.89%),在 "颗粒掉落"(GO 信号)之后,集群数出现下降,在 "开始抓握 "之前达到最低点,这表明 LFP 信号的集群分析可以增加 "开始抓握 "的概率。由于运动皮层在创建运动指令方面发挥着重要作用,因此在该脑区也可能出现此类特征。这项研究首次表明,在猕猴执行 "伸手抓握 "任务时,可以观察到局部场电位(LFP)相关性随任务阶段而发生的变化。使用运动皮层多电极阵列记录的 LFPs 显示,在伸手过程中相关性增强,随后在开始抓握时相关性减弱。无论使用哪只手臂或手的方向如何,这种模式都很稳定。
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来源期刊
eNeuro
eNeuro Neuroscience-General Neuroscience
CiteScore
5.00
自引率
2.90%
发文量
486
审稿时长
16 weeks
期刊介绍: An open-access journal from the Society for Neuroscience, eNeuro publishes high-quality, broad-based, peer-reviewed research focused solely on the field of neuroscience. eNeuro embodies an emerging scientific vision that offers a new experience for authors and readers, all in support of the Society’s mission to advance understanding of the brain and nervous system.
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