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Magnetic Resonance Imaging of Cortical Neuronal Activity

Magnetic Resonance Imaging of Cortical Neuronal Activity
皮质神经元活动的磁共振成像
批准号:
8233512
负责人:
ALLEN W SONG
金额:
$30.12万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-07-01 至 2014-03-31

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中文摘要
翻译
描述(由申请人提供):自成立以来,使用血氧水平依赖(BOLD)对比的功能MRI (fMRI)在基础和临床神经科学中的应用呈爆炸式增长,并继续成为神经成像的主导方法。然而,由于各种大小的脉管系统的血流动力学调节,BOLD成像也存在分散的空间定位和时间延迟,并且仍然是对神经元功能的某种定性评估。在BOLD对比中不断努力提高空间定位和时间分辨率。近年来,基于神经电活动的完全独立对比已被提出和发展,并在体外和体内应用中显示出初步的前景。在本提案中,我们将整合近年来血液动力学和神经电成像的进展,并开发一种直接的MRI方法,其中心重点是大幅提高神经电信号的灵敏度。具体来说,三个互补的目标,共同强调实现更高的灵敏度,但也有个人关注创新的成像硬件,成像软件和驱动神经元振荡,提出了实现离子神经电活动的直接MRI。首先,我们将开发一种新的多模并行接收线圈,以实现高灵敏度,高分辨率,扩散对比成像,以改善与皮质神经元活动的空间对应;二是开发螺旋回波体积成像(EVI)技术,进一步提高成像灵敏度;第三,我们将开发离子神经电活动的直接MRI方法,使用同步梯度振荡和高频驱动的视觉刺激,并结合先前目标的进展,进一步获得急需的信噪比(SNR),通过在神经元激活区域内进行时间锁定时间平均。我们预计,我们的综合方法将允许以最高的灵敏度测量离子神经电信号,表征它们的空间和时间依赖性,并显著迈向直接和敏感的功能磁共振成像方法,用于体内皮层神经电活动成像。
英文摘要
DESCRIPTION (provided by applicant): Since its inception, functional MRI (fMRI) using blood oxygenation level dependent (BOLD) contrast has seen an explosive growth in its applications in basic and clinical neurosciences, and continues to be the dominant method in neuroimaging. However, BOLD imaging also suffers from dispersed spatial localizations and temporal delays due to hemodynamic modulations from vasculature of all sizes, and remains a somewhat qualitative assessment of neuronal functions. Continued effort has been made to improve the spatial localization and the temporal resolution within the BOLD contrast. In more recent years, completely independent contrasts based on neuroelectric activities have been proposed and developed, and have shown initial promises in applications in vitro and in vivo. In this proposal, we will integrate the advances of hemodynamic and neuroelectric imaging in the recent years, and develop a direct MRI approach with a central focus on drastically improving the sensitivity of the neuroelectric signal. Specifically, three complementing aims, with a common emphasis on achieving a much greater sensitivity, but also with individual focuses on innovative imaging hardware, imaging software and driven neuronal oscillations, are proposed to achieve a direct MRI of ionic neuroelectric activity. First, we will develop a new multi-mode parallel receive coil to achieve high-sensitivity, high-resolution, diffusion contrast imaging for improved spatial correspondence with cortical neuronal activities; Second, we will develop a spiral echo volume imaging (EVI) technique to further improve the imaging sensitivity; Third, we will develop direct MRI methodology of ionic neuroelectric activities using synchronized gradient oscillation and high-frequency driven visual stimulation, and in conjunction with advances in the previous aims, to further gain the much needed signal- to-noise ratio (SNR) by time-locked temporal averaging within the neuronally activated regions. We anticipate that our integrated approach will allow the highest sensitivity possible to measure ionic neuroelectric signals, characterize their spatial and temporal dependences, and move significantly toward a direct and sensitive fMRI methodology for imaging cortical neuroelectric activities in vivo. PUBLIC HEALTH RELEVANCE: This project is based on an integrated approach to image cortical neuronal activities using hemodynamic and neuroelectric contrasts. We propose three specific aims to achieve this central objective, all with a central focus for a greatly improved sensitivity, but also with respective focuses on new imaging hardware, software and innovative neuronal activation paradigms. The advances from these three aims will enable time-locked detection of ionic neuroelectric currents with direct spatial and temporal specificity. We anticipate that our integrated approach will allow us to establish a solid technical foundation toward a sensitive, non-invasive, and more importantly, direct neuroimaging methodology.
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A High-Performance 3T MRI Scanner for Brain Imaging
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    10175380
  • 项目类别:
  • 资助金额:
    $180.0万
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    $48.79万
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  • 依托单位:
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  • 批准号:
    10263689
  • 项目类别:
  • 资助金额:
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  • 财政年份:
    2021
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  • 依托单位:
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  • 批准号:
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  • 项目类别:
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  • 财政年份:
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海外基金