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Dynamics of motor cortical activity during naturalistic feeding behavior

机译:自然喂养行为中运动皮质活动的动态

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摘要

Objective. The orofacial primary motor cortex (MIo) plays a critical role in controlling tongue and jaw movements during oral motor functions, such as chewing, swallowing and speech. However, the neural mechanisms of MIo during naturalistic feeding are still poorly understood. There is a strong need for a systematic study of motor cortical dynamics during feeding behavior. Approach. To investigate the neural dynamics and variability of MIo neuronal activity during naturalistic feeding, we used chronically implanted micro-electrode arrays to simultaneously recorded ensembles of neuronal activity in the MIo of two monkeys (Macaca mulatta) while eating various types of food. We developed a Bayesian nonparametric latent variable model to reveal latent structures of neuronal population activity of the MIo and identify the complex mapping between MIo ensemble spike activity and high-dimensional kinematics. Main results. Rhythmic neuronal firing patterns and oscillatory dynamics are evident in single-unit activity. At the population level, we uncovered the neural dynamics of rhythmic chewing, and quantified the neural variability at multiple timescales (complete feeding sequences, chewing sequence stages, chewing gape cycle phases) across food types. Our approach accommodates time-warping of chewing sequences and automatic model selection, and maps the latent states to chewing behaviors at fine timescales. Significance. Our work shows that neural representations of MIo ensembles display spatiotemporal patterns in chewing gape cycles at different chew sequence stages, and these patterns vary in a stage-dependent manner. Unsupervised learning and decoding analysis may reveal the link between complex MIo spatiotemporal patterns and chewing kinematics.
机译:客观的。 orofacial初级电机皮质(MIO)在口腔运动功能期间控制舌头和下颚运动中起着关键作用,例如咀嚼,吞咽和语音。然而,在自然喂养期间MIO的神经机制仍然很清楚。在喂养行为期间,强烈需要对电机皮质动力学进行系统研究。方法。为了探讨自然喂养过程中MiO神经元活动的神经动力学和可变性,我们使用长期植入的微电极阵列,同时在吃各种类型的食物时同时记录两只猴子(Macaca Mulatta)中的神经元活性的整齐。我们开发了一种贝叶斯非参数潜在变量模型,以揭示MIO的神经元群体活性的潜在结构,并确定MIO集合穗活性和高维运动学之间的复杂映射。主要结果。在单单元活动中明显明显有节奏的神经元烧制模式和振荡动力学。在人口层面,我们发现了节奏咀嚼的神经动力学,并在食物类型上量化了多个时间尺寸(完全喂养序列,咀嚼序列阶段,口服Gape循环阶段)的神经变异性。我们的方法可容纳咀嚼序列和自动模型选择的时差,并将潜在的状态映射到咀嚼优质时间表的行为。意义。我们的作品表明,MIO集合的神经表征在不同咀嚼序列阶段咀嚼Gape循环中显示时空模式,并且这些图案以阶段依赖的方式变化。无监督的学习和解码分析可以揭示复杂的Mio时尚模式与咀嚼运动学之间的联系。

著录项

  • 来源
    《Journal of neural engineering》 |2019年第2期|026038.1-026038.28|共28页
  • 作者单位

    NYU Sch Med Dept Neurosci & Physiol Dept Psychiat New York NY 10016 USA|Tsinghua Univ Dept Biomed Engn Beijing Peoples R China;

    Univ Illinois Dept Oral Biol Chicago IL USA;

    Univ Chicago Dept Organismal Biol & Anat Chicago IL 60637 USA|Univ Chicago Comm Computat Neurosci & Neurobiol Chicago IL 60637 USA;

    Univ Chicago Dept Organismal Biol & Anat Chicago IL 60637 USA;

    Univ Chicago Dept Organismal Biol & Anat Chicago IL 60637 USA;

    NYU Sch Med Dept Neurosci & Physiol Dept Psychiat New York NY 10016 USA|NYU Sch Med Dept Psychiat One Pk Ave Rm 8-226 New York NY 10016 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    chewing; swallowing; population dynamics; neural variability; latent variable model;

    机译:咀嚼;吞咽;人口动态;神经变异性;潜在变量模型;
  • 入库时间 2022-08-18 21:11:04

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