The Neuroscience of Everyday World- A novel wearable system for continuous measurement of brain function

日常世界的神经科学——一种用于连续测量大脑功能的新型可穿戴系统

基本信息

  • 批准号:
    10263915
  • 负责人:
  • 金额:
    $ 120.85万
  • 依托单位:
  • 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:
    2020-09-22 至 2025-05-31
  • 项目状态:
    未结题

项目摘要

Innovations in human neuroimaging tools have driven profound advances in our understanding of brain function under well-controlled and constrained conditions. While we are gaining greater understanding of how the brain functions in single-snapshot experiments under restricted lab settings, we do not know how it works in dynamic, complex and multisensory real-world environments. The goal of this project is to build a portable, miniaturized, lightweight, high-density wearable combined – functional Near Infrared-Spectroscopy (fNIRS) – Electro-Encepholography (EEG) - Eye-tracking system for enabling “Neuroscience of the Everyday World (NEW)” by permitting long duration continuous monitoring of normal / altered brain activity during movement, perception, and social interaction in real time and in the real world. In Aim 1, We will (A) develop a wearable and fully hybrid high-density EEG-fNIRS system that supports autonomous long-term recordings (>6 hours), (B) develop combined and miniaturized active EEG-Electrodes / fNIRS-Optodes; and (C) integrate the wearable system with Tobii Pro 2 eye-tracking/scene-camera glasses and state- of-the-art computer vision for adaptive acquisition and automated data annotation. In Aim 2, we will measure brain activity during walking, perceiving, and interacting, with experiments gradually increasing in complexity through three phases from lab to real world settings in young healthy adults and conduct a proof of principle in two sample clinical populations. In Aim 3, we will create an analysis workflow for data collected in Aim 2 that will accomplish the following: (1) removing nuisance signals from fNIRS/EEG signals, (2) analysis of multimodal fNIRS/EEG and behavioral data, (3) automatic annotation of and adaptation for real world measurements. This project brings together engineers, scientists and clinicians with the goal of building the next generation of imaging tools to capture brain function in real time. With our technological sophistication, interdisciplinary focus, and ready access to well-characterized clinical populations, we are uniquely positioned to successfully develop, apply, and disseminate our NEW technology, and lay down a foundation upon which groundbreaking advances in our understanding of the links between brain activity and behavior will build.
人类神经成像工具的创新推动了我们对神经成像的理解 大脑功能在良好的控制和约束条件下。当我们获得更大的 了解大脑在受限实验室条件下的单次快照实验中的功能 我们不知道它在动态的、复杂的、多感官的现实世界中是如何工作的 环境. 这个项目的目标是建立一个便携式,小型化,重量轻,高密度的可穿戴 联合功能近红外光谱(fNIRS)-脑电图(EEG)- 眼动追踪系统,通过允许长时间的 持续时间连续监测运动,感知, 以及真实的时间和真实的世界中的社会互动。在目标1中,我们将(A)开发一种可穿戴设备 和完全混合的高密度EEG-fNIRS系统,支持自主长期记录 (>6小时),(B)开发组合的和小型化的有源EEG-电极/fNIRS-光极;和 (C)将可穿戴系统与Tobii Pro 2眼动追踪/场景相机眼镜相结合, 最先进的计算机视觉,用于自适应采集和自动数据注释。在目标2中, 将测量行走、感知和互动过程中的大脑活动, 从实验室到真实的世界环境的三个阶段, 成年人,并在两个样本临床人群中进行原理证明。在目标3中,我们将创建 目标2中收集的数据的分析工作流程,将完成以下任务:(1)删除 fNIRS/EEG信号的干扰信号,(2)多模态fNIRS/EEG和行为分析 数据,(3)自动注释和适应真实的世界的测量。 该项目汇集了工程师,科学家和临床医生,目标是建立下一个 生成成像工具以真实的时间捕获大脑功能。凭借我们的技术 复杂性,跨学科的重点,并随时获得良好的特点临床人群, 我们在成功开发、应用和传播我们的新技术方面处于独特的地位, 并奠定一个基础,在此基础上,我们对这些联系的理解取得了突破性的进展, 大脑活动和行为之间的联系

项目成果

期刊论文数量(0)
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会议论文数量(0)
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David A Boas其他文献

Evaluation of the accuracy of brain optical properties estimation at different ages using the frequency-domain multi-distance method
频域多距离法评估不同年龄脑光学特性的准确性评价
  • DOI:
  • 发表时间:
    2011
  • 期刊:
  • 影响因子:
    0
  • 作者:
    M. Dehaes;P. E. Grant;D. Sliva;N. Roche;R. Pienaar;David A Boas;M. Franceschini;J. Selb
  • 通讯作者:
    J. Selb
Real-Time Functional Imaging of the Premature Infant Brain during Passive Motor Activation
被动运动激活期间早产儿大脑的实时功能成像
  • DOI:
    10.1203/00006450-199904020-02037
  • 发表时间:
    1999-04-01
  • 期刊:
  • 影响因子:
    3.100
  • 作者:
    Susan R Hintz;David A Benaron;Andrew M Siegel;David K Stevenson;David A Boas
  • 通讯作者:
    David A Boas

David A Boas的其他文献

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{{ truncateString('David A Boas', 18)}}的其他基金

A transformative method for functional brain imaging with Speckle Contrast Optical Spectroscopy
利用散斑对比光学光谱进行功能性脑成像的变革性方法
  • 批准号:
    10724661
  • 财政年份:
    2023
  • 资助金额:
    $ 120.85万
  • 项目类别:
Neurophotonic Advances for Mechanistic Investigation of the Role of Capillary Dysfunction in Stroke Recovery
毛细血管功能障碍在中风恢复中作用机制研究的神经光子学进展
  • 批准号:
    10586375
  • 财政年份:
    2022
  • 资助金额:
    $ 120.85万
  • 项目类别:
Neurophotonic Advances for Mechanistic Investigation of the Role of Capillary Dysfunction in Stroke Recovery
毛细血管功能障碍在中风恢复中作用机制研究的神经光子学进展
  • 批准号:
    10710209
  • 财政年份:
    2022
  • 资助金额:
    $ 120.85万
  • 项目类别:
Multispectral and Hyperspectral Preclinical Imager Spanning the Visible, NIR-I and NIR-II
跨越可见光、NIR-I 和 NIR-II 的多光谱和高光谱临床前成像仪
  • 批准号:
    10193523
  • 财政年份:
    2021
  • 资助金额:
    $ 120.85万
  • 项目类别:
The Neuroscience of Everyday World- A novel wearable system for continuous measurement of brain function
日常世界的神经科学——一种用于连续测量大脑功能的新型可穿戴系统
  • 批准号:
    10631228
  • 财政年份:
    2020
  • 资助金额:
    $ 120.85万
  • 项目类别:
The Neuroscience of Everyday World- A novel wearable system for continuous measurement of brain function
日常世界的神经科学——一种用于连续测量大脑功能的新型可穿戴系统
  • 批准号:
    10414384
  • 财政年份:
    2020
  • 资助金额:
    $ 120.85万
  • 项目类别:
The Neuroscience of Everyday World- A novel wearable system for continuous measurement of brain function
日常世界的神经科学——一种用于连续测量大脑功能的新型可穿戴系统
  • 批准号:
    10007021
  • 财政年份:
    2020
  • 资助金额:
    $ 120.85万
  • 项目类别:
Evaluating the utility of fNIRS in detecting and diagnosing AD/ADRD
评估 fNIRS 在检测和诊断 AD/ADRD 中的效用
  • 批准号:
    10714016
  • 财政年份:
    2020
  • 资助金额:
    $ 120.85万
  • 项目类别:
The Neuroscience of Everyday World- A novel wearable system for continuous measurement of brain function
日常世界的神经科学——一种用于连续测量大脑功能的新型可穿戴系统
  • 批准号:
    10445295
  • 财政年份:
    2020
  • 资助金额:
    $ 120.85万
  • 项目类别:
Imaging and Analysis Techniques to Construct a Cell Census Atlas of the Human Brain
构建人脑细胞普查图谱的成像和分析技术
  • 批准号:
    9768567
  • 财政年份:
    2018
  • 资助金额:
    $ 120.85万
  • 项目类别:

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