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CRCNS Research Proposal: Collaborative Research: Neural Basis of Motor Expertise

CRCNS 研究提案：合作研究：运动专业知识的神经基础

基本信息

批准号：
10623241
负责人：
Aaron Paul Batista
金额：
$ 39.1万
依托单位：
NORTHEASTERN UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-08-15 至 2025-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10623241
关键词：
Address Adopted Animals Area Back Behavior Behavior Control Behavioral Behavioral Paradigm Behavioral Research Brain Cerebral cortex Characteristics Clinical Coffee Collaborations Complex Data Dimensions Exhibits Experimental Designs Face Feedback General Population Grain Hand Health Human Instruction Investments Laboratories Learning Life Macaca mulatta Manufactured basketball Mathematics Modeling Modernization Monkeys Motor Motor Skills Movement National Institute of Neurological Disorders and Stroke Nature Nervous System Trauma Neurons Neurosciences Oral cavity Patients Pattern Population Analysis Primates Principal Investigator Recovery Rehabilitation therapy Research Research Proposals Route Shapes Stroke Structure Techniques Testing Water Work brain machine interface clinical application computational suite computerized tools control theory dexterity experience experimental study grasp high dimensionality human subject insight interactive tool motor control nervous system disorder neural neural patterning neurological recovery neuromuscular system neurophysiology neuroprosthesis nonhuman primate novel outreach paragon skills tool virtual environment

项目摘要

How can a basketball player reliably land his free throw in the basket, and yet still miss occasionally under nominally identical circumstances? While such skills are a paragon of motor expertise, even seemingly mundane actions also require surprising dexterity. When carrying a full cup of coffee, we exhibit motor skill that is far beyond what is typically studied in the laboratory. Specifically, when interacting with objects - the essence of any tool use -, successful actions require fine-grained control of interaction forces that have been beyond the purview of neuroscience to date. The proposed research examines the neural basis of motor expertise by bringing rich interactive tasks into the laboratory. The two PIs combine their long-standing experience in computational motor control and neurophysiology to study novel behavioral paradigms both in humans and non-human primates. Building on conceptual and computational overlap in their respective research, where skill is associated with low-dimensional structure in high-dimensional neural and behavioral redundant spaces, they will test the overall hypothesis that patterns of neural activity exhibit many of the characteristics of the behavior. Two aims will study two examples of motor skill: throwing an object and transporting an object with internal dynamics, both rendered in virtual environments. Parallel experiments in humans and primates will generate rich behavioral data that will be matched with intracortical recordings in the cerebral cortex of non-human primates. To date, non-human primate studies have necessitated that animals perform near-identical repetitions of simple behaviors to facilitate the analysis of neural activity. Now, modern multi-neuronal recording techniques make it possible to embrace more sophisticated real-world behaviors and address core principles of movement discovered in human motor control: high dimensionality, redundancy, and the ever-present variability. This research will develop a suite of computational tools that afford the analysis of behavioral and neural data with commensurate techniques and sophistication. This research will be transformative as it advances the motor challenges examined and brings insights from intracortical neurophysiology closer to understanding of human motor expertise. These scientific insights will channel into a large range of outreach activities to achieve broader impacts for the general public. RELEVANCE (See instructions): Patients with neurological disorders such as stroke face challenges in their daily activities, grasping a cup to bring to their mouths to drink; these actions are essentially interactive tool use. This research seeks insights into neural activation during such skilled actions and interactions to get closer to understand neural activity in tasks relevant in real life. Extending from PI Batista’s experience, neuroprosthetics and brain-machine interfaces are direct clinical application that may benefit from our findings and recovery

一名篮球运动员如何能够可靠地将罚球命中篮筐，但仍然偶尔会失手？名义上相同的情况？虽然这些技能是运动专业知识的典范，但即使看似平凡的行动也需要惊人的灵活性。当端着满满一杯咖啡时，我们展现出马达远远超出了实验室通常研究的技能。具体来说，当与对象交互时 - 任何工具使用的本质 - 成功的行动需要对相互作用力进行细粒度的控制迄今为止，这些都超出了神经科学的范围。拟议的研究检查了神经通过将丰富的交互式任务带入实验室来奠定运动专业知识的基础。这两个 PI 结合了他们的在计算运动控制和神经生理学研究新行为方面拥有长期经验人类和非人类灵长类动物的范例。建立在概念和计算重叠的基础上他们各自的研究，其中技能与高维中的低维结构相关神经和行为冗余空间，他们将测试神经模式的总体假设活动表现出行为的许多特征。两个目标将研究电机的两个例子技能：通过内部动态投掷物体和运输物体，两者均以虚拟方式呈现环境。人类和灵长类动物的并行实验将产生丰富的行为数据，这些数据将与非人类灵长类动物大脑皮层的皮质内记录相匹配。迄今为止，非人类灵长类动物的研究表明，动物必须重复执行几乎相同的简单行为，才能促进神经活动的分析。现在，现代多神经元记录技术使之成为可能接受更复杂的现实世界行为并解决发现的运动的核心原则人类运动控制：高维、冗余和始终存在的可变性。这项研究将开发一套计算工具，用于分析行为和神经数据相应的技术和复杂程度。这项研究将具有变革性，因为它将推动检查运动挑战并使皮质内神经生理学的见解更接近理解人类运动专业知识。这些科学见解将转化为广泛的外展活动为公众带来更广泛的影响。相关性（参见说明）：患有中风等神经系统疾病的患者在日常活动中面临着抓杯子的挑战送到他们嘴里喝；这些动作本质上是交互式工具的使用。这项研究寻求在这种熟练的动作和交互过程中深入了解神经激活，以更深入地理解与现实生活相关的任务中的神经活动。借鉴 PI Batista 的经验，神经假体和脑机接口是直接的临床应用，可能会受益于我们的发现和康复

项目成果

期刊论文数量（8）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Novel Platform for Quantitative Assessment of Functional Object Interactions After Stroke.

DOI：
10.1109/tnsre.2022.3226067
发表时间：
2023
期刊：
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
影响因子：
0
作者：
通讯作者：

Preparing to move: Setting initial conditions to simplify interactions with complex objects.

DOI：
10.1371/journal.pcbi.1009597
发表时间：
2021-12
期刊：
PLoS computational biology
影响因子：
4.3
作者：
Nayeem R;Bazzi S;Sadeghi M;Hogan N;Sternad D
通讯作者：
Sternad D

Neural Encoding and Representation of Time for Sensorimotor Control and Learning

DOI：
10.1523/jneurosci.1652-20.2020
发表时间：
2021-02-03
期刊：
JOURNAL OF NEUROSCIENCE
影响因子：
5.3
作者：
Balasubramaniam, Ramesh;Haegens, Saskia;Song, Joo-Hyun
通讯作者：
Song, Joo-Hyun

Central nervous system physiology.

DOI：
10.1016/j.clinph.2021.09.013
发表时间：
2021-12
期刊：
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
影响因子：
0
作者：
Rothwell J;Antal A;Burke D;Carlsen A;Georgiev D;Jahanshahi M;Sternad D;Valls-Solé J;Ziemann U
通讯作者：
Ziemann U

Back to reality: differences in learning strategy in a simplified virtual and a real throwing task.

回到现实：简化的虚拟和真实投掷任务中学习策略的差异。