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:
    10445295
  • 负责人:
  • 金额:
    $ 135.83万
  • 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 在控制良好和受限的条件下大脑功能的变化。当我们收获更多的时候 对受限实验室下单次快照实验中大脑功能的理解 我们不知道它在动态、复杂和多感官的现实世界中是如何工作的 环境。 该项目的目标是构建一种便携式、小型化、轻量化、高密度的可穿戴设备 结合功能近红外光谱(FNIRS)-脑电(EEG)- 通过允许长时间的眼球跟踪系统来实现“日常世界的神经科学(NEW)” 持续持续监测运动、知觉、 以及实时和现实世界中的社交互动。在目标1中,我们将(A)开发可穿戴设备 以及支持自主长期记录的全混合高密度EEG-fNIRS系统 (>6小时),(B)开发组合式和小型化有源脑电电极/fNIRS-光电电极;以及 (C)将可穿戴系统与Tobii Pro 2眼球追踪/场景摄像眼镜整合,并说明- 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,我们 将通过实验逐步测量行走、感知和互动过程中的大脑活动 在从实验室到现实世界的三个阶段中,健康青年的复杂性不断增加 并在两个样本临床人群中进行原则证明。在目标3中,我们将创造 目标2中收集的数据的分析工作流将完成以下任务:(1)删除 FNIRS/EEG信号中的干扰信号,(2)多模式fNIRS/EEG的分析和行为 数据,(3)自动标注和适应真实世界的测量。 这个项目汇集了工程师、科学家和临床医生,目标是建造下一个 生成可实时捕捉大脑功能的成像工具。凭借我们的技术 成熟、跨学科的关注点,并随时可以接触到具有良好特征的临床人群, 我们在成功开发、应用和传播我们的新技术方面具有得天独厚的优势, 并为我们在理解联系方面取得突破性进展奠定了基础 大脑活动和行为之间的关系将会建立起来。

项目成果

期刊论文数量(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:
    $ 135.83万
  • 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:
    $ 135.83万
  • 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:
    $ 135.83万
  • 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:
    $ 135.83万
  • 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:
    10263915
  • 财政年份:
    2020
  • 资助金额:
    $ 135.83万
  • 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:
    $ 135.83万
  • 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:
    $ 135.83万
  • 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:
    $ 135.83万
  • 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:
    $ 135.83万
  • 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:
    $ 135.83万
  • 项目类别:

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