Biological Spatial Resolution Limits in fMRI

fMRI 中的生物空间分辨率限制

基本信息

  • 批准号:
    8440820
  • 负责人:
  • 金额:
    $ 17.54万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-03-15 至 2016-02-29
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): This project will support the training and career development of a junior faculty member, with prior training in computational neuroscience and electrical engineering, transitioning into the fields of magnetic resonance imaging (MRI) and functional neuroimaging. This training will take place at the A. A. Martinos Center for Biomedical Imaging at the Massachusetts General Hospital, under the mentorship of Prof. L. L. Wald, within the Ultrahigh-field Imaging and Imaging Physics Group. The candidate will conduct a study into quantifying the fundamental biological limits of spatial resolution in functional MRI, and perform precise measurements of the functional architecture of the human visual system using novel methods developed to overcome resolution limits placed by the instrumentation, data acquisition and experimental design, and data analysis. The long-term objective of this project is to enable non-invasive imaging of fine-scale details of the human visual cortex, including the distinctive spatial maps of orientation preference, ocular dominance, and retinotopy, with a spatial resolution sufficient to derive accurate, quantitative measurements of these basic features of the visual system. To quantify the biological limits of spatial resolution, this study will focus on three aims: (i) to develop a methodology for quantifying spatial resolution and accuracy in fMRI; (ii) to measure spatial accuracy across multiple experimental designs and identify which provides the highest achievable resolution; and (iii) to exploit this knowledge to measure and quantify the topographic and columnar structures in primary visual cortex, and thus draw informed conclusions about their organization based on the known measurement accuracy. Although estimates of spatial resolution have been made in the past, new advances in both acquisition and analysis technology, and new insights into experimental design, require that these estimates be re-assessed to determine what is now feasible. Importantly, emerging methods at our disposals enable resolving activity within individual cortical laminae. Not only does laminar fMRI open possibilities for testing new hypotheses about the nervous system and neurovascular coupling, but the proposed methods may yield a practical technique for increasing spatial resolution-due to the tighter biological point-spread expected in central vascular layers distal to large pial veins, targeted sampling of these layers will enable higher achievable spatial resolution. The candidate will receive training in ultrahigh-field imaging methods, accelerated parallel imaging techniques, design and construction of radiofrequency coil detectors, accurate computational analysis of fMRI data, and the anatomy and physiology of the human brain and its vascular system. The tools developed for this study can assist in several applications such as identifying pathological tissue in patients with visual deficits or amblyopia, measuring the impact of localized hyperemia in patients with occipital cerebral amyloid angiopathy, designing cortical prostheses, and will enable future studies into the fine organization of the nervous system.
描述(由申请人提供):该项目将支持初级教员的培训和职业发展,在计算神经科学和电气工程方面接受过培训,过渡到磁共振成像(MRI)和功能性神经成像领域。本次培训将在A。A.在马萨诸塞州总医院的Martinos生物医学成像中心,在L. L. Wald,在超高场成像和成像物理组。候选人将进行一项研究,量化功能性MRI中空间分辨率的基本生物学限制,并使用开发的新方法对人类视觉系统的功能结构进行精确测量,以克服仪器,数据采集和实验设计以及数据分析带来的分辨率限制。该项目的长期目标是实现人类视觉皮层精细尺度细节的非侵入性成像,包括方向偏好,眼优势和视网膜病变的独特空间图,其空间分辨率足以获得视觉系统这些基本特征的准确定量测量。 为了量化空间分辨率的生物学限制,本研究将集中在三个目标:(i)开发一种量化fMRI空间分辨率和准确性的方法;(ii)测量多个实验设计的空间准确性,并确定哪一个提供了最高的可实现的分辨率;以及(iii)利用这些知识来测量和量化初级视皮层中的地形和柱状结构,从而基于已知的测量精度得出关于它们的组织的有根据的结论。虽然空间分辨率的估计已经在过去,在采集和分析技术的新进展,以及实验设计的新见解,需要重新评估这些估计,以确定现在是可行的。重要的是,在我们的discovery新兴的方法能够解决个别皮层内的活动。层状功能磁共振成像不仅为测试神经系统和神经血管耦合的新假设开辟了可能性,而且所提出的方法可能会产生一种实用的技术,用于提高空间分辨率-由于更紧密的生物点扩散预计在中央血管层远端大软膜静脉,这些层的目标采样将使更高的可实现的空间分辨率。 候选人将接受超高场成像方法,加速并行成像技术,射频线圈探测器的设计和构造,功能磁共振成像数据的精确计算分析以及人脑及其血管系统的解剖学和生理学方面的培训。为这项研究开发的工具可以帮助几个应用程序,如识别视觉缺陷或弱视患者的病理组织,测量枕部脑淀粉样血管病患者局部充血的影响,设计皮质假体,并将使未来的研究成为神经系统的精细组织。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(3)

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Jonathan Rizzo Polimeni其他文献

Jonathan Rizzo Polimeni的其他文献

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{{ truncateString('Jonathan Rizzo Polimeni', 18)}}的其他基金

High-Performance Gradient Coil for 7 Tesla MRI
用于 7 特斯拉 MRI 的高性能梯度线圈
  • 批准号:
    10630533
  • 财政年份:
    2023
  • 资助金额:
    $ 17.54万
  • 项目类别:
fMRI Technologies for Imaging at the Limit of Biological Spatiotemporal Resolution: Administrative Supplement
用于生物时空分辨率极限成像的 fMRI 技术:行政补充
  • 批准号:
    10833383
  • 财政年份:
    2023
  • 资助金额:
    $ 17.54万
  • 项目类别:
CRCNS: Computational Modeling of Microvascular Effects in Cortical Laminar fMRI
CRCNS:皮质层状功能磁共振成像微血管效应的计算模型
  • 批准号:
    10643880
  • 财政年份:
    2021
  • 资助金额:
    $ 17.54万
  • 项目类别:
CRCNS: Computational Modeling of Microvascular Effects in Cortical Laminar fMRI
CRCNS:皮质层状功能磁共振成像微血管效应的计算模型
  • 批准号:
    10482354
  • 财政年份:
    2021
  • 资助金额:
    $ 17.54万
  • 项目类别:
CRCNS: Computational Modeling of Microvascular Effects in Cortical Laminar fMRI
CRCNS:皮质层状功能磁共振成像微血管效应的计算模型
  • 批准号:
    10398277
  • 财政年份:
    2021
  • 资助金额:
    $ 17.54万
  • 项目类别:
Improving Human fMRI through Modeling and Imaging Microvascular Dynamics
通过微血管动力学建模和成像改善人类功能磁共振成像
  • 批准号:
    9753356
  • 财政年份:
    2016
  • 资助金额:
    $ 17.54万
  • 项目类别:
Improving Human fMRI through Modeling and Imaging Microvascular Dynamics: Administrative Supplement
通过微血管动力学建模和成像改善人类功能磁共振成像:行政补充
  • 批准号:
    10179989
  • 财政年份:
    2016
  • 资助金额:
    $ 17.54万
  • 项目类别:
Improving Human fMRI through Modeling and Imaging Microvascular Dynamics
通过微血管动力学建模和成像改善人类功能磁共振成像
  • 批准号:
    9205860
  • 财政年份:
    2016
  • 资助金额:
    $ 17.54万
  • 项目类别:
Improving Human fMRI through Modeling and Imaging Microvascular Dynamics
通过微血管动力学建模和成像改善人类功能磁共振成像
  • 批准号:
    9974595
  • 财政年份:
    2016
  • 资助金额:
    $ 17.54万
  • 项目类别:
Fast MRI at the Limit of Biological Temporal Resolution
生物时间分辨率极限的快速 MRI
  • 批准号:
    9428443
  • 财政年份:
    2015
  • 资助金额:
    $ 17.54万
  • 项目类别:

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