Breaking Spatiotemporal Barriers of MR Imaging Technologies to Study Human Brain Function and Neuroenergetics
Breaking Spatiotemporal Barriers of MR Imaging Technologies to Study Human Brain Function and Neuroenergetics
批准号:
9789873
负责人:
Wei Chen
金额:
$124.81万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-22 至 2023-06-30
关键词:
AddressBRAIN initiativeBlood flowBrainCeramicsCerebrumCommunitiesComputer SimulationCustomDatabasesDetectionDevelopmentEnergy MetabolismEngineeringFormulationFrequenciesFunctional Magnetic Resonance ImagingFundingGeometryGoalsGrantHeadHumanHuman bodyIllinoisImageImaging TechniquesImaging technologyInstitutionKnowledgeMagnetic ResonanceMagnetic Resonance ImagingMapsMetabolismMethodsMinnesotaModalityMolecularMonoclonal Antibody R24NeuronsNeurosciencesNeurotransmittersNoiseNuclearOxygenParentsPerformancePhasePilot ProjectsProcessProductionRegulationResearchResearch PersonnelResolutionRestSafetySignal TransductionStructureTechniquesTechnologyTemperatureTestingThalamic NucleiUnited States National Institutes of HealthUniversitiesWorkabsorptionbasebrain researchbrain tissueclinical Diagnosiscostcost effectivedielectric propertyfunctional improvementgray matterimaging approachimaging studyimprovedin vivoinnovationinterestmagnetic fieldmagnetic resonance spectroscopic imagingmetabolic ratemultimodalityneural circuitneuroimagingneurotechnologynext generationnoveloperationpersonalized medicineradio frequencyrelating to nervous systemresponseskillsspatiotemporalspectroscopic imagingsuccesstechnology development
中文摘要
项目摘要
了解神经回路如何在介观(亚毫米)尺度上运作和互连,以及如何
神经能量代谢和神经递质在休息和工作状态下支持大脑功能,
对大脑研究和大脑计划至关重要。磁共振成像(MRI),包括功能性
MRI(fMRI)和体内MR光谱成像(MRSI)是能够对神经系统进行成像的唯一模式。
活动,功能连接和大脑结构在皮层层和列水平,神经能量学和
人类大脑中的神经递质。 然而,解决基础神经科学仍然具有挑战性,
需要更高的灵敏度和时空分辨率的问题目前不可用。增加MR
场强一直是解决这一挑战的主流范例,然而,除了高成本之外,它还提出了一个
脑组织中射频(RF)功率比吸收率(SAR)升高的安全性问题。
为了解决基于MR的成像技术所面临的技术挑战和局限性,我们
通过引入超高介电常数,
(uHDC)形成器与RF线圈结合,用于大幅度提高用于测量的灵敏度和时空分辨率。
fMRI和MRSI,并协同降低SAR在超高频(UHF)。在NIH R24的资助下,我们
在概念验证方面取得了可喜的进展。 在U 01提案中,我们将进一步开发
并集成三种先进技术:i)固定和/或可调谐uHDC形成器,
RF线圈技术,用于最大化MR灵敏度和最小化SAR;
空间谱相关(SPICE)技术显著提高信噪比(SNR),
iii)UHF MR技术,用于进一步提高
MRSI。这些技术的集成将在UHF上实现累积和前所未有的改进
并打破目前时空分辨率的障碍,最终使i)100 - 1000分辨率的功能磁共振成像映射
神经活动,电路和动力学,以及功能连接和网络在中观尺度在3和
7特斯拉(T); ii)极高分辨率和全脑多核MRSI,用于功能定位,
在磁场(7 T和10.5T)下对脑刺激作出反应的神经能量和神经递质变化
具有与常规fMRI相当的上级(± 5 mm各向同性)分辨率。 技术发展
将由来自宾夕法尼亚州明尼苏达大学的跨学科研究人员组成的联盟进行
州立大学和伊利诺伊大学厄巴纳分校尚潘。 这个项目的成功将迎来下一个
一代基于MR的多模态神经成像技术,充分提供上级时空分辨率
为广泛的大脑研究带来变革,并生成全面和高保真的健康数据库。
科学界可以共享的人类大脑。
英文摘要
PROJECT SUMMARY
Understanding how neural circuits operate and interconnect at mesoscopic (sub-millimeter) scale, and how
neuroenergetic metabolism and neurotransmitters support brain function at resting and working state is
essential to brain research and BRAIN Initiative. Magnetic resonance (MR) imaging (MRI), including functional
MRI (fMRI) and in vivo MR spectroscopic imaging (MRSI), is the sole modality enabling to imaging neural
activity, functional connectivity and brain structure at cortical layer and column level, neuroenergetics and
neurotransmitters in human brain. However, it remains challenging to address fundamental neuroscience
questions requiring much higher sensitivity and spatiotemporal resolution currently unavailable. Increasing MR
field strength has been the prevailing paradigm to tackle the challenge, however, beside high cost, it poses a
safety concern from elevated specific absorption rate (SAR) of radiofrequency (RF) power in the brain tissue.
To address the technical challenges and limitations faced by the MR-based imaging techniques, we have
pioneered an innovative and cost-effective engineering solution by introducing the ultra-high dielectric constant
(uHDC) former incorporated with RF coils for large improvements of sensitivity and spatiotemporal resolution for
fMRI and MRSI, and synergistically reducing SAR at ultrahigh field (UHF). With the NIH R24 funding support, we
have made progress with promising results for proof of concept. In this U01 proposal, we will further develop
and integrate three advanced technologies: i) fixed and/or tunable uHDC formers incorporated with advanced
RF coil technology for maximizing MR sensitivity and minimizing SAR;; ii) SPectroscopic Imaging by exploiting
spatiospectral CorrElation (SPICE) technique for significantly boosting signal-to-noise ratio (SNR) and
spatiotemporal resolution;; iii) UHF MR technology for further improving sensitivity and spectral resolution of
MRSI. The integration of these technologies will achieve cumulative and unprecedented improvements at UHF
and break current barriers of spatiotemporal resolution, ultimately enable i) ultrahigh-resolution fMRI mapping
of neural activity, circuits and dynamics, and functional connectivity and networks at mesoscopic scale at 3 and
7 tesla(T);; and ii) very high resolution and whole-brain multinuclear MRSI for functional mapping of
neuroenergetic and neurotransmitter changes in response to brain stimulation at ultrahigh fields (7T and 10.5T)
with an superior (£5mm isotropic) resolution comparable to conventional fMRI. The technology developments
will be carried out by a consortium among interdisciplinary researchers from University of Minnesota, Penn
State University and University of Illinois at Urbana-Champaign. Success of this project will usher the next
generation of MR-based multimodal neuroimaging technology offering superior spatiotemporal resolution fully
transformative for broad brain research, and generate comprehensive and high fidelity database of healthy
human brain that can be shared by scientific community.
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