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Multimodal integration of functional neuroimaging data

Multimodal integration of functional neuroimaging data
功能神经影像数据的多模态整合
批准号:
356610-2008
负责人:
Grova, Christophe
金额:
$2.06万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2009
资助国家:
加拿大
项目状态:
已结题
起止时间:
2009-01-01 至 2010-12-31

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中文摘要
翻译
现在越来越多的非侵入性神经成像技术可用于研究正常的大脑功能,也可用于研究大脑疾病。然而,目前还不存在任何理想的探测技术,能够精确地测量大脑活动发生的时间(以毫秒计)和地点(以毫米计)。每种神经成像技术都是通过不同的机制(神经元电、氧气消耗)来测量大脑活动的一部分,有时更专注于“在哪里?”(良好的空间分辨率)或者“什么时候?”(时间分辨率好)。每种技术都有其特定的优点和局限性,单独分析每种技术只能提供有关潜在大脑活动的部分信息。我的研究项目的目标是开发适当组合这些多模态数据的方法,即数据融合方法,以便通过单独考虑每种模态来检测可能遗漏的额外信息。一个典型的挑战是将高时间分辨率直接测量神经元活动的模式与高空间分辨率间接测量相同功能的其他模式结合起来,例如通过血液动力学过程。我的项目将涉及三种有前途的功能模式的整合:(1)同步脑电图(EEG) -脑磁图(MEG)采集,直接在头皮上测量神经元同步活动产生的电信号的电和磁成分(以毫秒为单位)。(2)同步脑电图-功能磁共振成像(fMRI)采集,在全脑范围内以二级尺度测量与头皮脑电图检测到的信号相关的血流动力学反应。(3)同步EEG -近红外光谱(NIRS)采集,通过利用放置在头部表面的光纤利用脑组织内红外光的吸收特性,测量头皮EEG检测信号时氧和脱氧血红蛋白的局部变化。该项目的主要临床应用将是结合这三种模式,使用多模式数据融合技术来表征癫痫活动期间涉及的大脑区域。
英文摘要
More and more non-invasive neuroimaging techniques are now available to study normal brain functions but also brain disorders. However, it does not exist any ideal exploration technique able to measure precisely when (at a ms scale) and where (at a mm scale) an activity occurred in the brain. Each neuroimaging technique measures through different mechanisms (neuronal electricity, oxygen consumption) part of brain activity, being sometimes more dedicated to the question "where?" (good spatial resolution) or to the question "when?" (good temporal resolution). Each of these techniques having its specific advantages and limitations, analyzing each of them individually only provides partial information regarding underlying brain activity. The objective of my research project is to develop methods to appropriately combine these multimodal data, i.e., data fusion methods, in order to detect additional information that could be missed by considering each modality individually. A typical challenge is to combine modalities measuring directly neuronal activity with high temporal resolution with other modalities measuring indirectly the same function with high spatial resolution, through hemodynamic processes for instance. My project will involve the integration of three promising functional modalities: (1) Simultaneous ElectroEncephaloGraphy (EEG) - MagnetoEncephaloGraphy (MEG) acquisitions, measuring directly on the scalp electric and magnetic components of signals generated by neurons synchronously active (at a ms scale). (2) Simultaneous EEG - functional Magnetic Resonance Imaging fMRI acquisitions to measure, within the whole brain at a second scale, hemodynamic responses that correlate with signals detected on scalp EEG. (3) Simultaneous EEG - Near InfraRed Spectroscopy (NIRS) acquisitions to measure local changes in oxy- and deoxy-hemoglobin at the time of signals detected on scalp EEG, by exploiting absorption properties of infrared light within brain tissues using optic fibres placed on the surface of the head. The principal clinical application of this project will be to combine these three modalities using multimodal data fusion techniques to characterize brain regions involved during epileptic activity.
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Multimodal integration of functional neuroimaging data
  • 批准号:
    RGPIN-2018-06707
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2022
  • 负责人:
    Grova, Christophe
  • 依托单位:
Multimodal integration of functional neuroimaging data
  • 批准号:
    RGPIN-2018-06707
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2021
  • 负责人:
    Grova, Christophe
  • 依托单位:
Multimodal integration of functional neuroimaging data
  • 批准号:
    RGPIN-2018-06707
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2020
  • 负责人:
    Grova, Christophe
  • 依托单位:
Multimodal integration of functional neuroimaging data
  • 批准号:
    RGPIN-2018-06707
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2019
  • 负责人:
    Grova, Christophe
  • 依托单位:
海外基金