Planning Grant: Collaborative Research: I/UCRC for Building Reliable Advances and Innovation in Neurotechnology (BRAIN)

规划资助:合作研究:I/UCRC 建立神经技术的可靠进步和创新 (BRAIN)

基本信息

  • 批准号:
    1539979
  • 负责人:
  • 金额:
    $ 1.45万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-09-15 至 2016-08-31
  • 项目状态:
    已结题

项目摘要

This project will bring together teams from Arizona State University and University of Houston in collaboration with industry partners to establish a research center, called BRAIN (Building Reliable Advances and Innovation in Neurotechnology) that will overcome several innovation challenges in neurotechnology: 1) The pace of innovation exceeds the rate of evaluation for acceptable performance; 2) Standards and regulatory science for rigorous validation of safety, efficacy, and long-term reliability are missing; 3) Lack of open access to technologies and synergistic collaborations impede transfer of novel technologies to the market; and 4) Current technologies are costly, limiting their utility in enhancing treatment and overcoming physical disabilities. In addition, the BRAIN Center, through the efforts of the Education/Outreach coordinator, will work to rectify under-representation in the science, technology, engineering, and math (STEM) fields by broadening new participation and retaining current participants in STEM through 1) newly initiated K-12 outreach programs that expose aspiring STEM participants to innovative neurotechnologies, 2) undergraduate internship program within the Center that targets specific student organizations (e.g., Society of Mexican-American Engineers and Scientists, Society of Women Engineers), and 3) focusing on problems in the neurological space that affect underrepresented groups disproportionately. The Center's vision is a synergistic, interdisciplinary approach to the development and validation of affordable patient-centered technologies, and use of those technologies in understanding neural systems. BRAIN will leverage expertise in neural, cognitive and rehabilitation engineering, robotics, clinical testing, and reverse-translational research at Arizona State University (ASU) and the University of Houston (UH) to (a) enhance the rate of development and empirical validation of new technologies through partnerships with industry leaders and other strategic partners; (b) develop standards and test technologies in human and non-human models using a multi-scale approach ranging from single neurons to organismal systems; (c) characterize novel and innovative technologies such as biosensors and quantitative analysis tools for systems and behaviors; (d) evaluate the impact of these technologies on quality of life; and (e) reduce the cost burden of neural technologies on hospitals and families.
该项目将汇集来自亚利桑那州立大学和休斯顿大学的团队,与行业合作伙伴合作建立一个名为BRAIN的研究中心(建立可靠的进步和创新的神经技术),这将克服几个创新的挑战,在神经技术:1)创新的步伐超过了可接受的性能评估的速度; 2)缺乏对安全性、有效性和长期可靠性进行严格验证的标准和监管科学; 3)缺乏对技术的开放获取和协同合作阻碍了新技术向市场的转移;(4)目前的技术费用昂贵,限制了它们在加强治疗和克服身体残疾方面的效用。此外,BRAIN中心,通过教育/外展协调员的努力,将致力于通过扩大新的参与和保留现有的参与者,通过1)新发起的K-12外展计划,使有抱负的STEM参与者接触创新的神经技术,2)中心内针对特定学生组织的本科生实习计划(例如,墨西哥裔美国工程师和科学家协会,女工程师协会),和3)集中在神经空间的问题,影响代表性不足的群体不成比例。该中心的愿景是一个协同的,跨学科的方法来开发和验证负担得起的以患者为中心的技术,并利用这些技术来理解神经系统。BRAIN将利用亚利桑那州立大学(ASU)和休斯顿大学(UH)在神经、认知和康复工程、机器人技术、临床测试和反向翻译研究方面的专业知识,以(a)通过与行业领导者和其他战略合作伙伴的合作,提高新技术的开发和经验验证速度;(B)使用从单个神经元到有机体系统的多尺度方法,在人类和非人类模型中开发标准和测试技术;(c)描述新颖和创新技术的特征,如生物传感器和系统和行为的定量分析工具;(d)评估这些技术对生活质量的影响;以及(e)减少神经技术对医院和家庭的成本负担。

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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Marco Santello其他文献

Deep Learning Detection of Hand Motion During Microvascular Anastomosis Simulations Performed by Expert Cerebrovascular Neurosurgeons
  • DOI:
    10.1016/j.wneu.2024.09.069
  • 发表时间:
    2024-12-01
  • 期刊:
  • 影响因子:
  • 作者:
    Thomas J. On;Yuan Xu;Jiuxu Chen;Nicolas I. Gonzalez-Romo;Oscar Alcantar-Garibay;Jay Bhanushali;Wonhyoung Park;John E. Wanebo;Andrew W. Grande;Rokuya Tanikawa;Dilantha B. Ellegala;Baoxin Li;Marco Santello;Michael T. Lawton;Mark C. Preul
  • 通讯作者:
    Mark C. Preul
Behavioral evidence for motor learning and transfer without visual feedback
无视觉反馈的运动学习和迁移的行为证据
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ryuta Kitani;Jiajia Yang;Yinghua Yu;Akinori Kunita;Satoshi Takahashi;Jinlong Wu;Qiushi Fu;Marco Santello
  • 通讯作者:
    Marco Santello
Extending kinematic decoding approaches to kinetics
将运动学解码方法扩展到动力学
  • DOI:
    10.1016/j.plrev.2025.03.007
  • 发表时间:
    2025-07-01
  • 期刊:
  • 影响因子:
    14.300
  • 作者:
    Marco Santello
  • 通讯作者:
    Marco Santello
‘I Said I’m Young You Know I Can Plan Something Good You Know’: Understanding Language and Migration Through Time
“我说我还年轻,你知道我可以计划一些好事情,你知道”:随着时间的推移理解语言和迁徙
  • DOI:
    10.1093/applin/amae031
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    3.6
  • 作者:
    Marco Santello
  • 通讯作者:
    Marco Santello
Neuroimaging evidence for tactile object recognition
触觉物体识别的神经影像证据
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ryuta Kitani;Jiajia Yang;Yinghua Yu;Akinori Kunita;Satoshi Takahashi;Jinlong Wu;Qiushi Fu;Marco Santello;Jiajia Yang
  • 通讯作者:
    Jiajia Yang

Marco Santello的其他文献

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{{ truncateString('Marco Santello', 18)}}的其他基金

IUCRC Phase II ASU: Building Reliable Advances and Innovations in Neurotechnology (BRAIN)
IUCRC 第二阶段 ASU:在神经技术 (BRAIN) 领域建立可靠的进步和创新
  • 批准号:
    2137272
  • 财政年份:
    2022
  • 资助金额:
    $ 1.45万
  • 项目类别:
    Continuing Grant
Collaborative Research: Effector and Task Neural Representations of Hand-Object Interactions
协作研究:手-物体交互的效应器和任务神经表征
  • 批准号:
    1827752
  • 财政年份:
    2018
  • 资助金额:
    $ 1.45万
  • 项目类别:
    Standard Grant
I/UCRC for Building Reliable Advances and Innovation in Neurotechnology (BRAIN)
I/UCRC 致力于神经技术 (BRAIN) 领域的可靠进步和创新
  • 批准号:
    1650566
  • 财政年份:
    2017
  • 资助金额:
    $ 1.45万
  • 项目类别:
    Continuing Grant
Collaborative Research: Sensorimotor control of hand-object interactions
合作研究:手与物体交互的感觉运动控制
  • 批准号:
    1455866
  • 财政年份:
    2015
  • 资助金额:
    $ 1.45万
  • 项目类别:
    Standard Grant
Collaborative Research: Sensory Integration and Sensorimotor Transformations for Dexterous Manipulation
合作研究:灵巧操作的感觉统合和感觉运动转化
  • 批准号:
    1153034
  • 财政年份:
    2012
  • 资助金额:
    $ 1.45万
  • 项目类别:
    Continuing Grant
RI: Medium: Collaborative Research: Robotic Hands: Understanding and Implementing Adaptive Grasping
RI:媒介:协作研究:机器人手:理解和实施自适应抓取
  • 批准号:
    0904504
  • 财政年份:
    2009
  • 资助金额:
    $ 1.45万
  • 项目类别:
    Standard Grant
Collaborative Research: Dextrous Control of Multi-Digit Grasping
协作研究:多手指抓取的灵巧控制
  • 批准号:
    0819547
  • 财政年份:
    2008
  • 资助金额:
    $ 1.45万
  • 项目类别:
    Standard Grant
Collaborative Research: Coordination of Multi-Digit Forces During Grasping
协作研究:抓取过程中多手指力量的协调
  • 批准号:
    0519152
  • 财政年份:
    2006
  • 资助金额:
    $ 1.45万
  • 项目类别:
    Continuing Grant

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