An acquisition and reconstruction framework to enable mesoscale human fMRI on clinical 3 Tesla scanners

一种采集和重建框架，可在临床 3 Tesla 扫描仪上实现中尺度人体 fMRI

• 批准号: 10481056
• 负责人: Kawin Setsompop
• 金额: $ 85.32万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10481056
• 关键词: 3-Dimensional; Address; Adoption; Animal Model; Animals; Benchmarking; Blood Vessels; Blood Volume; Blood flow; Brain; Brain imaging; Caliber; Cell Nucleus; Clinical; Communities; Consensus; Cortical Column; Coupling; Data; Data Set; Development; Dropout; Excision; Functional Imaging; Functional Magnetic Resonance Imaging; Goals; Human; Image; Imaging technology; Knowledge; Magnetic Resonance Imaging; Measurement; Measures; Medical center; Methods; Microscopic; Motor; Motor Cortex; Neurons; Noise; Outcome; Oxygen; Preparation; Protocols documentation; Research; Research Personnel; Resolution; Rest; Sampling; Scanning; Signal Transduction; Specificity; Speed; Techniques; Technology; Testing; Time; Weight; base; blood oxygen level dependent; blood oxygenation level dependent response; brain circuitry; cerebral blood volume; contrast imaging; experimental study; human imaging; image reconstruction; imaging approach; imaging modality; imaging study; improved; next generation; novel; optical imaging; preconditioning; reconstruction; relating to nervous system; response; simulation; spatiotemporal; targeted imaging; temporal measurement; tool; usability; volunteer

PROJECT SUMMARY/ABSTRACT Functional MRI (fMRI) is the most widely-used tool to noninvasively measure brain function and has produced much of our current knowledge about the functional organization of the human brain. However, all fMRI methods measure neuronal activity indirectly by tracking the associated local changes in blood flow, volume and oxygenation, which limit their spatiotemporal specificity to the underlying neuronal activity. While this is often viewed as the fundamental limitation of fMRI, recent optical imaging studies in animal models have shown a tight coupling between microvascular diameter changes and neural activity. These data indicate that human fMRI— as it is performed today—has vast untapped potential that can only be reaped if our measurements can be made sensitive exclusively to changes in these smallest blood vessels. Recent human studies have demonstrated that fMRI based on tracking changes in cerebral blood volume (CBV) with high sensitivity to microvascular diameter changes indeed provide improved neural specificity compared to the conventional blood-oxygenation-level- dependent (BOLD) method. Since the advent of fMRI, BOLD has been the most used fMRI contrast due to its robustness and high sensitivity, yet consensus is building that CBV provides far more faithful measurements of neural activity. Adoption of this powerful non-BOLD fMRI approach has been lacking due to its low sensitivity. To address this, we will develop new imaging methods to dramatically increase sensitivity of CBV-based fMRI. The key to our approach is the recognition that it is now possible, with advanced acquisition methods that we have recently developed, to separate “contrast encoding” in fMRI from image encoding. Because the standard image encoding with EPI in fMRI inherently introduces T2* weighting (and thus BOLD contrast), emerging non-BOLD techniques must inefficiently acquire two sets of data for every measurement to remove the unwanted BOLD contamination in post-processing. The need to acquire two sets of images, along with the necessary post-processing, plus the T2* signal loss combine to cause up to 4× SNR-efficiency loss. Our method, based on our distortion- and blurring-free Echo-Planar Time-resolved Imaging (EPTI) technology, overcomes this SNR loss by eliminating the unwanted BOLD weighting. We call our new framework “Mz fMRI” as it provides a means to generate fMRI contrast based purely on longitudinal magnetization (Mz), applicable to various non- BOLD fMRI methods. We will provide a proof of concept of this powerful framework by integrating EPTI with “VASO” to create an efficient CBV-fMRI without distortion, blurring, or the need for BOLD removal. Our simulations indicate that our approach will deliver sufficient sensitivity for sub-millimeter CBV-fMRI at 3T, and will perform better than existing CBV methods at 7T; the availability of these powerful methods at 3T will open non-BOLD fMRI up to the entire fMRI community, boosting neuronal specificity and enabling broad application of mesoscale fMRI—such as studies of cortical columns and layers and small subcortical nuclei— and thereby opening new possibilities for mapping whole-brain circuitry.

项目摘要/摘要 功能磁共振成像(FMRI)是目前应用最广泛的非侵入性脑功能测量工具 我们目前关于人脑功能组织的大部分知识。然而，所有的fMRI方法 通过跟踪相关局部血流量、血流量和血流量的变化，间接测量神经元的活动 氧合作用，这限制了它们对潜在神经元活动的时空特异性。虽然这通常是 被认为是功能磁共振成像的根本局限性，最近在动物模型中的光学成像研究表明 微血管管径变化与神经活动之间的耦合。这些数据表明，人类功能磁共振成像- 就像今天所表现的那样，拥有巨大的未开发的潜力，只有在我们能够进行测量的情况下才能收获 仅对这些最小血管的变化敏感。最近的人体研究表明， 基于对微血管直径高度敏感的脑血容量变化跟踪的功能磁共振成像 与传统的血液氧合水平相比，变化确实提供了更好的神经特异性- 依赖(粗体)方法。自从fMRI问世以来，BOLD一直是使用最多的fMRI对比剂，因为它 稳健性和高灵敏度，但正在形成共识，即CBV提供了更可靠的测量 神经活动。由于其低敏感性，这种强大的非大胆的功能磁共振成像方法一直缺乏采用。 为了解决这个问题，我们将开发新的成像方法来显著提高基于CBV的功能磁共振成像的灵敏度。 我们方法的关键是认识到，现在有了先进的获取方法， 我们最近开发了将功能磁共振成像中的“对比度编码”与图像编码分开的方法。因为 在fMRI中使用EPI的标准图像编码固有地引入了T2*加权(因此是粗体对比度)， 新兴的非粗略技术必须低效地为要移除的每个测量获取两组数据 后处理过程中不想要的大胆污染。需要获取两组图像，以及 必要的后处理，加上T2*信号损失，造成高达4倍的SNR效率损失。我们的方法， 基于我们的无失真和无模糊回波平面时间分辨成像(EPTI)技术，克服了 通过消除不需要的大胆权重来减少SNR损失。我们将我们的新框架称为“Mz fMRI”，因为它提供了 一种纯基于纵向磁化强度(Mz)产生fMRI对比度的方法，适用于各种非 大胆的功能核磁共振方法。我们将通过将EPTI与 “Vaso”，创建一个有效的CBV-fMRI，没有失真，模糊，或需要大胆移除。 我们的模拟表明，我们的方法将为亚毫米CBV-fMRI提供足够的灵敏度 3T，并将在7T时比现有的CBV方法执行得更好；这些强大的方法在3T时的可用性将 向整个fMRI社区开放非BOLD fMRI，提高神经元特异性并实现广泛的 中尺度功能磁共振成像的应用--例如对皮质柱层和皮质下小核团的研究 从而为绘制全脑电路图开辟了新的可能性。