NCS-FO: Functional and neural mechanisms of integrating multiple artificial somatosensory feedback signals in prosthesis control

NCS-FO：在假肢控制中集成多个人工体感反馈信号的功能和神经机制

基本信息

批准号：
2327217
负责人：
Xiaogang Hu
金额：
$ 30万
依托单位：
Pennsylvania State Univ University Park
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2023
资助国家：
美国
起止时间：
2023-05-01 至 2024-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2327217&HistoricalAwards=false
关键词：
NCS FO Functional neural mechanisms

项目摘要

After a limb amputation, both motor and sensory functions associated with the limb are lost. Substantial effort has been devoted to restore lost motor functions. In contrast, there has been less advancement in restoring sensory function. Although earlier works have used sensory substitution or nerve stimulation techniques to elicit a single type of artificial sensation, there is limited understanding of how the human brain integrates different sources of artificial sensation, when multiple sensory stimulations are provided. This project will help understand the integration principles of different artificially evoked sensations of joint movements. By identifying key factors that determine the integration principle of multiple sources of artificial sensation, this project can generate potentially transformative outcomes for human-robot interactions, specifically developing brain-inspired sensory stimulation strategies that can enable intuitive interactions of assistive devices. The project will provide educational opportunities. Different project components will be integrated into existing undergraduate courses. Summer projects incorporating the sensory stimulation techniques will be offered to local school and community college students. Outreach programs associated with the research outcomes will be developed targeting underrepresented students. The goal of this project is to understand the integration principles of different artificially evoked proprioceptive feedback. The research team will combine psychophysical testing, behavioral modeling, and brain signal recordings to understand the integration principle of artificial sensory signals. Proprioceptive feedback of the joint kinematics will be evoked using vibrotactile stimulation and peripheral nerve stimulation. Both upper and lower limbs will be investigated to evaluate whether the integration principle is task or end-effector dependent. The research team will use a Bayesian integration model and electroencephalogram (EEG) recordings to quantify how uncertainty and intuitiveness-associated attentional bias of artificial feedback impact sensory integration. The project outcomes will provide a theoretical basis for developing artificial sensory feedback for intuitive human-robot interactions, and will also provide a research platform for studying sensory perception. This project is funded by Integrative Strategies for Understanding Neural and Cognitive Systems (NCS), a multidisciplinary program jointly supported by the Directorates for Biology (BIO), Computer and Information Science and Engineering (CISE), Education and Human Resources (EHR), Engineering (ENG), and Social, Behavioral, and Economic Sciences (SBE).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

肢体截肢后，与肢体相关的运动和感觉功能都会丧失。为了恢复失去的运动功能，人们付出了巨大的努力。相比之下，在恢复感觉功能方面进展较少。尽管早期的工作已经使用感觉替代或神经刺激技术来引发单一类型的人工感觉，但当提供多种感觉刺激时，对人脑如何整合不同来源的人工感觉的理解有限。该项目将有助于理解不同人工诱发的关节运动感觉的整合原理。通过确定决定多种人工感觉来源整合原理的关键因素，该项目可以为人机交互产生潜在的变革性成果，特别是开发受大脑启发的感官刺激策略，从而实现辅助设备的直观交互。该项目将提供教育机会。不同的项目组成部分将被整合到现有的本科课程中。将为当地学校和社区学院的学生提供结合感官刺激技术的夏季项目。将针对代表性不足的学生制定与研究成果相关的推广计划。该项目的目标是了解不同人工诱发的本体感受反馈的整合原理。研究团队将结合心理物理测试、行为建模和大脑信号记录来了解人工感觉信号的整合原理。将使用振动触觉刺激和周围神经刺激来引起关节运动学的本体感觉反馈。将研究上肢和下肢，以评估集成原理是否依赖于任务或末端执行器。研究小组将使用贝叶斯积分模型和脑电图（EEG）记录来量化人工反馈的不确定性和直觉相关的注意力偏差如何影响感觉统合。该项目成果将为开发用于直观人机交互的人工感官反馈提供理论基础，也将为研究感官知觉提供研究平台。该项目由理解神经和认知系统综合策略（NCS）资助，这是一个由生物学（BIO）、计算机和信息科学与工程（CISE）、教育和人力资源（EHR）、工程理事会联合支持的多学科项目（ENG）和社会、行为和经济科学（SBE）。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。