Imaging early development of human neural circuits
人类神经回路早期发育的成像
基本信息
- 批准号:10503458
- 负责人:
- 金额:$ 44.51万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-08-16 至 2027-07-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAdolescentAdultAffectAlgorithmsAnatomyAtlasesBackBasal GangliaBirthBlood CirculationBrainBrain Hypoxia-IschemiaBrain imagingChildCognitive deficitsCommon VentricleCommunicationCongenital DisordersDataDevelopmentDevelopmental Delay DisordersDiseaseDropoutEarly treatmentEnsureFetal DevelopmentFetusFunctional Magnetic Resonance ImagingGoalsHeadHeart DiseasesHumanHypoxiaImageImaging technologyImpairmentInfantKnowledgeLeadLifeMagnetic Resonance ImagingMental disordersMethodsMotionNeurodevelopmental DisorderNeurologyNeuronsNeurosciencesOrganOutcomePatientsPregnancyPrevention strategyProcessReference StandardsReportingResearchResourcesSample SizeScanningSchool-Age PopulationSecond Pregnancy TrimesterSeedsSeriesSignal TransductionSingle ventricle congenital heart diseaseSliceStructureTechniquesTechnologyTestingTherapeutic InterventionTimeWorkanalysis pipelinebasecohortcongenital brain disordercongenital heart disorderfetalfunctional MRI scanfunctional grouphigh riskimage processingimaging studyimprovedin uteroin vivoindependent component analysisinnovationinnovative technologiesmigrationneural circuitneurodevelopmentprenatalprospectivereal-time imagesreconstructionrelating to nervous systemsuccesssynaptogenesistemporal measurementtool
项目摘要
Imaging early development of human neural circuits
The overall objective of this research is to create new imaging technology that dramatically improves our
ability to analyze the development of brain function and functional networks before birth. Functional
magnetic resonance imaging (fMRI) provides a unique capability to study neural circuits and brain
functional connections in-vivo. Fetal fMRI acquisition and analysis, however, has been hampered by
three important challenges: 1) fetal motion disrupts the spatial and temporal continuity of the MRI signal,
2) geometric distortion is exacerbated by the motion of fetal and maternal organs, and 3) the anatomy
and function of the developing fetal brain is distinctly different from those of young children and adults,
thus current processing pipelines and atlases are inadequate for reliable fetal fMRI analysis. To address
these challenges, we pursue three specific aims in this study, that are focused on 1) developing a
prospectively motion navigated fetal fMRI acquisition technology, based on fast real-time image
processing, that compensates for the fetal head motion and geometric distortions during acquisitions; 2)
developing a post-acquisition processing technique that reconstructs an fMRI time series from motion-
corrected fetal fMRI data that are scattered in space and time because of motion and motion correction;
and 3) assessing the utility of fetal fMRI and the developed technologies to evaluate early development
of neural circuits and brain function in fetuses with congenital heart disease compared to healthy fetuses.
This contribution is important because it 1) mitigates a critical barrier to making progress in the field of
developmental neurology and neuroscience by allowing reliable use of fetal fMRI in studying normal vs.
abnormal development of the brain function; 2) improves the efficiency and efficacy of fetal fMRI through
prospectively adjusting scans to compensate for motion and geometric distortions, thus strengthens our
ability to study large cohorts; 3) provides tools and resources, including atlas-based parcellation and a
processing pipeline for the analysis of fetal fMRI; and 4) generates important knowledge about the
origins of disrupted neural development due to hypoxia ischemia in congenital heart disease. The
technology, resources, and knowledge developed in this study have a broad impact and are crucial for
advanced studies in developmental neuroscience and neurology, aiming to elucidate the potentially
devastating effects of adverse early life conditions including congenital disorders of the brain and heart. It
is hoped that these studies lead to improved understanding of the underlying causes of
neurodevelopmental disorders, leading to preventive strategies, therapies, and in some cases, cure.
人类神经回路早期发育成像
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(0)
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ALI GHOLIPOUR-BABOLI其他文献
ALI GHOLIPOUR-BABOLI的其他文献
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{{ truncateString('ALI GHOLIPOUR-BABOLI', 18)}}的其他基金
Imaging early development of human neural circuits
人类神经回路早期发育的成像
- 批准号:
10684840 - 财政年份:2022
- 资助金额:
$ 44.51万 - 项目类别:
Enhanced Imaging of the Fetal Brain Microstructure
胎儿脑微结构的增强成像
- 批准号:
10580011 - 财政年份:2022
- 资助金额:
$ 44.51万 - 项目类别:
Enhanced Imaging of the Fetal Brain Microstructure
胎儿脑微结构的增强成像
- 批准号:
10345136 - 财政年份:2022
- 资助金额:
$ 44.51万 - 项目类别:
Advancing Microstructural and Vascular Neuroimaging in Perinatal Stroke
推进围产期卒中的微观结构和血管神经影像学
- 批准号:
10552663 - 财政年份:2019
- 资助金额:
$ 44.51万 - 项目类别:
Advancing microstructural and vascular neuroimaging in perinatal stroke
推进围产期卒中的微观结构和血管神经影像学
- 批准号:
10332741 - 财政年份:2019
- 资助金额:
$ 44.51万 - 项目类别:
Motion-robust super-resolution diffusion weighted MRI of early brain development
早期大脑发育的运动稳健超分辨率扩散加权 MRI
- 批准号:
9284277 - 财政年份:2014
- 资助金额:
$ 44.51万 - 项目类别:
Motion-robust super-resolution diffusion weighted MRI of early brain development
早期大脑发育的运动稳健超分辨率扩散加权 MRI
- 批准号:
8764291 - 财政年份:2014
- 资助金额:
$ 44.51万 - 项目类别:
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