Influence of task complexity and sensory feedback on cortical control of grasp force
任务复杂性和感觉反馈对皮质控制抓握力的影响
基本信息
- 批准号:10289762
- 负责人:
- 金额:$ 108.06万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-02 至 2026-08-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAfferent PathwaysAnatomyAreaAutomobile DrivingBehaviorBehavioralCognitiveCommunicationComplexConsensusDataDependenceDevelopmentDimensionsElectrodesEsthesiaExhibitsFeedbackFingersFreedomGoalsHandHumanImplantInjuryKnowledgeLearning SkillLocationMediatingMotorMotor CortexMovementOutputParticipantPathway interactionsPeripheralPopulation DynamicsPostureQuadriplegiaRehabilitation therapyRoleSensoryShapesSignal TransductionSomatosensory CortexStable PopulationsTennisTestingTouch sensationTrainingUncertaintyVariantVolitionWorkarmarm movementbrain computer interfaceexperimental studyflexibilitygraspimprovedmicrostimulationmotor behaviormotor controlneuroregulationnovelpopulation basedrelating to nervous systemresponsesensory feedbacksensory inputskillssomatosensorytranscutaneous stimulation
项目摘要
ABSTRACT
Humans can skillfully control their grasp during actions as complex and dynamic as swinging a tennis racket,
and as simple and static as holding a briefcase. Both tasks require the use of sensory feedback to achieve
and maintain an appropriate grasp force. There is evidence that motor and somatosensory cortices
communicate task-relevant information in order to enable skillful movement. Our primary goal is to uncover the
motor cortical dynamics underlying grasp force control and determine the extent to which these dynamics are
mediated by behavioral context and corticocortical communication of somatosensory feedback.
We propose to study the cortical control of grasp by leveraging the unique experimental paradigms afforded by
a bidirectional human brain-computer interface study in which participants with tetraplegia have intracortical
electrode arrays implanted in motor and somatosensory cortex. Previous work, primarily focused on reaching
movements, has demonstrated that motor cortex exhibits population dynamics that are constrained within low-
dimensional manifold. We have identified similar dynamic responses within human motor cortex that contain
information about grasp force. However, these responses are task-dependent and can change as the
complexity of the proximal arm movement changes. Here we will extend that work to study the context-
dependence of M1 dynamics across a range of static and dynamic hand and arm movements including both
overt and covert (i.e., imagined) behaviors.
Sophisticated motor control relies on sensory information to shape neural control signals emanating from motor
cortex, yet very little is known about the flow of information from somatosensory to motor cortex for the control
of the hand. We aim to quantify the corticocortical communication pathways across a range of task contexts
through the analysis of simultaneous neural recordings in motor and somatosensory cortex. We will then use
intracortical microstimulation to probe these communication pathways while providing task-relevant sensory
feedback as well as task-irrelevant stimulation as a control. Finally, we will use a brain-computer interface to
test whether there is the potential for plasticity within the corticocortical communication circuits, or whether
communication is constrained by between-area dynamics. Successful completion of this proposal will lead to
new knowledge about the role of M1 in dynamic and static grasp behaviors. We will quantify how
somatosensory input is communicated with M1 and whether corticocortical communication pathways can be
modified through training, which has relevance to understanding skill learning and improving rehabilitation.
摘要
在像挥动网球拍这样复杂而动态的动作中,人类可以熟练地控制自己的抓握,
就像拿着公文包一样简单和静态。这两项任务都需要使用感觉反馈来实现
并保持适当的抓地力。有证据表明,运动和躯体感觉皮质
交流与任务相关的信息,以实现熟练的移动。我们的首要目标是发现
抓握力控制背后的运动皮质动力学,并决定这些动力学的程度
由躯体感觉反馈的行为背景和皮质交流所介导。
我们建议利用独特的实验范式来研究抓握的皮层控制。
四肢瘫痪患者大脑皮质内的双向人脑-计算机接口研究
植入运动和体感皮质的电极阵列。以前的工作,主要集中在
运动,已经证明了运动皮质表现出的种群动态受低-
空间流形。我们已经在人类运动皮质中发现了类似的动态反应,其中包含
关于抓取力的信息。但是,这些响应依赖于任务,并且可以随着
上臂近端运动的复杂性发生变化。在这里,我们将扩展这项工作,以研究上下文-
一系列静态和动态手部和手臂运动对M1动力学的依赖
公开和隐蔽的(即想象的)行为。
复杂的运动控制依赖于感觉信息来塑造从运动发出的神经控制信号
大脑皮层,但对控制的信息从躯体感觉到运动皮质的流动知之甚少
那只手的。我们的目标是量化一系列任务背景下的大脑皮层交流路径
通过对运动和躯体感觉皮层同步神经记录的分析。然后我们将使用
皮层内微刺激在提供任务相关感觉的同时探测这些通讯通路
反馈以及与任务无关的刺激作为对照。最后,我们将使用脑机接口来
测试皮质通讯回路内是否有可塑性的可能性,或者
通信受到区域间动态的限制。成功完成这项提案将导致
对M1在动态和静态抓取行为中的作用的新认识。我们将量化如何
躯体感觉输入与M1的沟通以及皮质沟通通路是否可以
通过训练进行修改,这与理解技能学习和提高康复水平有关。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jennifer L. Collinger其他文献
Use of Cortical Surface Stimulation towards Reliable Sensation in Human
- DOI:
10.1016/j.apmr.2015.10.071 - 发表时间:
2015-12-01 - 期刊:
- 影响因子:
- 作者:
Shivayogi V. Hiremath;Elizabeth C. Tyler-Kabara;Jesse Wheeler;Daniel W. Moran;Robert A. Gaunt;Jennifer L. Collinger;Stephen Thomas Foldes;Douglas John Weber;Weidong Chen;Michael Boninger;Wei Wang - 通讯作者:
Wei Wang
Evoking stable and precise tactile sensations via multi-electrode intracortical microstimulation of the somatosensory cortex
通过体感皮层的多电极皮层内微刺激唤起稳定而精确的触觉感受
- DOI:
10.1038/s41551-024-01299-z - 发表时间:
2024-12-06 - 期刊:
- 影响因子:26.600
- 作者:
Charles M. Greenspon;Giacomo Valle;Natalya D. Shelchkova;Taylor G. Hobbs;Ceci Verbaarschot;Thierri Callier;Ev I. Berger-Wolf;Elizaveta V. Okorokova;Brianna C. Hutchison;Efe Dogruoz;Anton R. Sobinov;Patrick M. Jordan;Jeffrey M. Weiss;Emily E. Fitzgerald;Dillan Prasad;Ashley Van Driesche;Qinpu He;Fang Liu;Robert F. Kirsch;Jonathan P. Miller;Ray C. Lee;David Satzer;Jorge Gonzalez-Martinez;Peter C. Warnke;Abidemi B. Ajiboye;Emily L. Graczyk;Michael L. Boninger;Jennifer L. Collinger;John E. Downey;Lee E. Miller;Nicholas G. Hatsopoulos;Robert A. Gaunt;Sliman J. Bensmaia - 通讯作者:
Sliman J. Bensmaia
Jennifer L. Collinger的其他文献
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{{ truncateString('Jennifer L. Collinger', 18)}}的其他基金
Quantifying neural variability and learning during real world brain-computer interface use
量化现实世界脑机接口使用过程中的神经变异和学习
- 批准号:
10838152 - 财政年份:2023
- 资助金额:
$ 108.06万 - 项目类别:
Development of an EMG-controlled BCI for biomimetic control of hand movement in humans
开发 EMG 控制的 BCI,用于仿生控制人类手部运动
- 批准号:
10651404 - 财政年份:2023
- 资助金额:
$ 108.06万 - 项目类别:
Quantifying neural variability and learning during real world brain-computer interface use
量化现实世界脑机接口使用过程中的神经变异和学习
- 批准号:
10548865 - 财政年份:2022
- 资助金额:
$ 108.06万 - 项目类别:
The interplay between kinematic and force representations in motor and somatosensory cortices during reaching, grasping, and object transport
伸手、抓握和物体运输过程中运动和体感皮层运动学和力表征之间的相互作用
- 批准号:
10546486 - 财政年份:2022
- 资助金额:
$ 108.06万 - 项目类别:
Quantifying neural variability and learning during real world brain-computer interface use
量化现实世界脑机接口使用过程中的神经变异和学习
- 批准号:
10363903 - 财政年份:2022
- 资助金额:
$ 108.06万 - 项目类别:
Influence of Task Complexity and Sensory Feedback on Cortical Control of Grasp Force
任务复杂性和感觉反馈对皮质控制握力的影响
- 批准号:
10705074 - 财政年份:2021
- 资助金额:
$ 108.06万 - 项目类别:
Influence of task complexity and sensory feedback on cortical control of grasp force
任务复杂性和感觉反馈对皮质控制抓握力的影响
- 批准号:
10480085 - 财政年份:2021
- 资助金额:
$ 108.06万 - 项目类别:
Eighth International Brain Computer Interface Meeting
第八届国际脑机接口会议
- 批准号:
9913702 - 财政年份:2020
- 资助金额:
$ 108.06万 - 项目类别:
Context-dependent processing in sensorimotor cortex
感觉运动皮层的上下文相关处理
- 批准号:
9791028 - 财政年份:2018
- 资助金额:
$ 108.06万 - 项目类别:
Investigation of Cortical Changes Following Spinal Cord Injury
脊髓损伤后皮质变化的调查
- 批准号:
8200932 - 财政年份:2012
- 资助金额:
$ 108.06万 - 项目类别:
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