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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

一个篮球运动员怎么能可靠地把罚球投进篮筐，但偶尔仍投丢呢

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。