Visuomotor Prosthetic for Paralysis
瘫痪视觉运动假肢
基本信息
- 批准号:10630073
- 负责人:
- 金额:$ 64.63万
- 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:2021-05-01 至 2026-04-30
- 项目状态:未结题
- 来源:
- 关键词:AccidentsAdvanced DevelopmentAlgorithmsAmyotrophic Lateral SclerosisAnatomyAreaBallisticsBehavioralBody mass indexBody partBrainBrain regionCaliforniaClinical TrialsCodeCognitiveComplexComputersConduct Clinical TrialsContralateralDataDevelopmentDevicesElectrodesFDA approvedFreedomFutureGoalsHandHealthcareHospitalsHumanImplantIndividualIpsilateralJointsKnowledgeLimb structureLos AngelesMedical DeviceMemoryMicroelectrodesMotorMotor CortexMovementMultiple SclerosisNeuronsOutcomeParalysedParietal LobeParticipantPatient RecruitmentsPatientsPatternPerformancePeripheral Nervous System DiseasesPersonsPhasePopulationPropertyProsthesisProsthesis DesignQuadriplegiaQuality of lifeResearchResearch DesignRoboticsSamplingSelf-Help DevicesSideSignal TransductionSiteSpecificitySpeedSpinal Cord LesionsStrokeSystemTechnologyTestingTimeTranslatingUniversitiesVisionVisualWorkarmdesignexperimental studyimprovedmedical schoolsmotor behaviorneuralneural prosthesisneurophysiologyneuroprosthesisneuroregulationneurosurgerypractical applicationvisual motor
项目摘要
The objective of the proposed research is to obtain scientific knowledge of visuomotor transformations
in posterior parietal cortex (PPC) and primary motor cortex (M1) from tetraplegic subjects in a clinical
trial to advance the development of neural prosthetics. We have shown in clinical trials conducted over
the past 6 years that PPC can control neural prosthetics for assisting tetraplegic subjects. Other groups
have concentrated on M1 and likewise find control for neural prosthetics. In our studies of PPC we have
found that besides trajectory signals to move robotic limbs or control computer cursors, there are a
plethora of visuomotor signals that represent intended movements of most of the body, movement
goals, cognitive strategies, and even memory signals. Our central hypothesis is that PPC and M1 will
encode visuomotor parameters in both similar and different ways, and that algorithms can be
developed to leverage those signals from the two areas that are complimentary to improve prosthetic
range and performance. Implants will be made in both M1 and PPC, enabling simultaneous recording in
the same subjects, elevating concerns of comparing data from different labs collected in different
individuals with different implants and different tasks.
This central hypothesis will be tested in two broad aims, for which we have substantial preliminary data.
Aim 1 will examine the control of the body by the two areas. It is hypothesized that M1 will
demonstrate strong specificity for the contralateral limb (implants will be made in the hand knob)
whereas PPC will code movements for most of the body and on both contra and ipsilateral sides by
leveraging its partially mixed encoding of parameters (subaim 1a). Whereas M1 is hypothesized to code
spatial variables exclusively during attempted or imagined actions, it is hypothesized that PPC also
encodes cognitive spatial variables in task appropriate reference frames (subaim 1b). In subaim 1c we
will examine how multiple body parts are combined in movement representations, hypothesizing that
M1 and PPC will employ a diverse set of mechanisms including linear summation, non-linear
combinations, and movement suppression expressed in different ways as a function of brain area and
the specific movement set.
Aim 2 will examine the temporal aspects of encoding in the two areas. In subaim 2a we will test the
hypothesis that the neural dynamics during sustained periods of movement are largely unchanging in
both areas. In subaim 2b we hypothesize that, during sequential movements, M1 codes only the
ongoing movement whereas PPC codes both the current and subsequent movements. Finally, in subaim
2c we will examine the coding of movement speed, with the hypothesis that there are separate
subspaces in both M1 and PPC for direction and speed of movement.
提出的研究目的是获得视觉运动转换的科学知识
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)
Implicit mechanisms of intention.
- DOI:10.1016/j.cub.2022.03.047
- 发表时间:2022-05-09
- 期刊:
- 影响因子:9.2
- 作者:Aflalo, Tyson;Zhang, Carey;Revechkis, Boris;Rosario, Emily;Pouratian, Nader;Andersen, Richard A.
- 通讯作者:Andersen, Richard A.
A shared neural substrate for action verbs and observed actions in human posterior parietal cortex.
- DOI:10.1126/sciadv.abb3984
- 发表时间:2020-10
- 期刊:
- 影响因子:13.6
- 作者:Aflalo T;Zhang CY;Rosario ER;Pouratian N;Orban GA;Andersen RA
- 通讯作者:Andersen RA
Stability of motor representations after paralysis.
- DOI:10.7554/elife.74478
- 发表时间:2022-09-20
- 期刊:
- 影响因子:7.7
- 作者:Guan C;Aflalo T;Zhang CY;Amoruso E;Rosario ER;Pouratian N;Andersen RA
- 通讯作者:Andersen RA
Decoding and geometry of ten finger movements in human posterior parietal cortex and motor cortex.
- DOI:10.1088/1741-2552/acd3b1
- 发表时间:2023-05-25
- 期刊:
- 影响因子:4
- 作者:
- 通讯作者:
Neural encoding of actual and imagined touch within human posterior parietal cortex.
- DOI:10.7554/elife.61646
- 发表时间:2021-03-01
- 期刊:
- 影响因子:7.7
- 作者:Chivukula S;Zhang CY;Aflalo T;Jafari M;Pejsa K;Pouratian N;Andersen RA
- 通讯作者:Andersen RA
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RICHARD A ANDERSEN其他文献
RICHARD A ANDERSEN的其他文献
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{{ truncateString('RICHARD A ANDERSEN', 18)}}的其他基金
Minimally Invasive Ultrasonic Brain-Machine Interface
微创超声脑机接口
- 批准号:
10294005 - 财政年份:2021
- 资助金额:
$ 64.63万 - 项目类别:
Dexterous BMIs for tetraplegic humans utilizing somatosensory cortex stimulation
利用体感皮层刺激为四肢瘫痪的人提供灵巧的 BMI
- 批准号:
9357398 - 财政年份:2016
- 资助金额:
$ 64.63万 - 项目类别:
Dexterous BMIs for tetraplegic humans utilizing somatosensory cortex stimulation
利用体感皮层刺激为四肢瘫痪的人提供灵巧BMI
- 批准号:
9205978 - 财政年份:2016
- 资助金额:
$ 64.63万 - 项目类别:
Cognitive neural prosthetics for clinical applications
临床应用的认知神经修复术
- 批准号:
8324695 - 财政年份:2005
- 资助金额:
$ 64.63万 - 项目类别:
Smart MEMS recording systems for visual cortical studies
用于视觉皮层研究的智能 MEMS 记录系统
- 批准号:
7345357 - 财政年份:2005
- 资助金额:
$ 64.63万 - 项目类别:
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