Non-invasive Fast Optical Imaging of Visual and Motor Processing

视觉和运动处理的非侵入式快速光学成像

基本信息

  • 批准号:
    7477072
  • 负责人:
  • 金额:
    $ 19.42万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2006
  • 资助国家:
    美国
  • 起止时间:
    2006-09-30 至 2011-08-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Near-infrared spectroscopy (NIRS) is a promising tool, being the only imaging technique potentially sensitive to both neuronal activity (fast signal) and brain hemodynamics. Our proposal is a response to RFA-EB-05- 001 and aims to demonstrate the ability of NIRS to non-invasively monitor neural activity using methods that may be suitable for functional brain imaging in populations with developmental disorders. Our recent data show that a task-related fast NIRS signal can be recorded non-invasively from the human scalp and that the signal-to-noise ratio of the faint fast optical signal can be improved through a multi-step signal processing sequence that includes 1) adaptive filtering, 2) high-pass temporal filtering, 3) time-frequency decomposition, and 4) Independent Component Analysis. As a result, functionally relevant transient changes in the optical signal within multiple frequency bands (e.g., theta and gamma frequency bands) can be reliably recorded with a temporal resolution in the millisecond range. These changes in neuronal activity can then be mapped through reconstruction techniques with a spatial resolution comparable to that seen with fMRI techniques. Thus, the fast optical imaging of neuronal activity can potentially achieve both good temporal and spatial resolution. The aims of the proposed project are: 1) to develop a sensor net accommodating up to 256 electrodes and optical detectors, allowing full head coverage and simultaneous recording of optical and EEG signals; 2) to develop improved instrumentation and analysis methods in order to reliably detect the fast NIRS signal; 3) to develop improved methods for brain imaging based on the fast optical signal; and 4) to demonstrate that the fast optical signal closely correlates with neuronal activity through simultaneous recording of optical and high-density EEG signals in autistic and control subjects performing tasks involving visual and sensorimotor processing, such as object recognition or response competition. The proposed studies will advance, test and characterize the functional capabilities of the non-invasive fast NIRS technology as well as will establish its potential utility in the analysis of the neural mechanisms underlying visual and sensorimotor processing in health and disease.
描述(由申请人提供): 近红外光谱(NIRS)是一种很有前途的工具,是唯一的成像技术可能敏感的神经元活动(快速信号)和脑血流动力学。我们的提案是对RFA-EB-05- 001的回应,旨在证明NIRS使用可能适用于发育障碍人群功能性脑成像的方法非侵入性监测神经活动的能力。我们最近的数据表明,与任务相关的快速NIRS信号可以从人头皮非侵入性地记录,并且微弱的快速光信号的信噪比可以通过多步信号处理序列来提高,该多步信号处理序列包括1)自适应滤波,2)高通时域滤波,3)时频分解,和4)独立分量分析。结果,在多个频带内的光信号中的功能相关的瞬态变化(例如,θ和γ频带)可以以毫秒范围内的时间分辨率可靠地记录。这些神经元活动的变化可以通过重建技术进行映射,其空间分辨率与fMRI技术相当。因此,神经元活动的快速光学成像可以潜在地实现良好的时间和空间分辨率。拟议项目的目标是:1)开发一个可容纳多达256个电极和光学探测器的传感器网络,允许全头部覆盖并同时记录光学和EEG信号; 2)开发改进的仪器和分析方法,以可靠地检测快速NIRS信号; 3)开发基于快速光学信号的脑成像改进方法;以及4)通过在自闭症和对照受试者中同时记录光学和高密度EEG信号来证明快速光学信号与神经元活动密切相关,所述自闭症和对照受试者执行涉及视觉和感觉运动处理的任务,诸如物体识别或反应竞争。拟议的研究将推进、测试和表征非侵入性快速近红外光谱技术的功能能力,并将建立其在分析健康和疾病中视觉和感觉运动处理的神经机制方面的潜在效用。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Event-related fast optical signal in a rapid object recognition task: improving detection by the independent component analysis.
  • DOI:
    10.1016/j.brainres.2008.07.122
  • 发表时间:
    2008-10-21
  • 期刊:
  • 影响因子:
    2.9
  • 作者:
    Medvedev, Andrei V.;Kainerstorfer, Jana;Borisov, Sergey V.;Barbour, Randall L.;VanMeter, John
  • 通讯作者:
    VanMeter, John
Does the resting state connectivity have hemispheric asymmetry? A near-infrared spectroscopy study.
  • DOI:
    10.1016/j.neuroimage.2013.05.092
  • 发表时间:
    2014-01-15
  • 期刊:
  • 影响因子:
    5.7
  • 作者:
    Medvedev AV
  • 通讯作者:
    Medvedev AV
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ANDREI V MEDVEDEV其他文献

ANDREI V MEDVEDEV的其他文献

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{{ truncateString('ANDREI V MEDVEDEV', 18)}}的其他基金

Computational method to improve signal detection in NIRS instruments
改进 NIRS 仪器信号检测的计算方法
  • 批准号:
    8133477
  • 财政年份:
    2010
  • 资助金额:
    $ 19.42万
  • 项目类别:
Computational method to improve signal detection in NIRS instruments
改进 NIRS 仪器信号检测的计算方法
  • 批准号:
    7944918
  • 财政年份:
    2010
  • 资助金额:
    $ 19.42万
  • 项目类别:
Computational method to improve signal detection in NIRS instruments
改进 NIRS 仪器信号检测的计算方法
  • 批准号:
    8316125
  • 财政年份:
    2010
  • 资助金额:
    $ 19.42万
  • 项目类别:
Non-invasive Fast Optical Imaging of Visual and Motor Processing
视觉和运动处理的非侵入式快速光学成像
  • 批准号:
    7285551
  • 财政年份:
    2006
  • 资助金额:
    $ 19.42万
  • 项目类别:
Non-invasive Fast Optical Imaging of Visual and Motor Processing
视觉和运动处理的非侵入式快速光学成像
  • 批准号:
    7139857
  • 财政年份:
    2006
  • 资助金额:
    $ 19.42万
  • 项目类别:

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