Structural Connections Core
结构连接核心
基本信息
- 批准号:10594021
- 负责人:
- 金额:$ 34.09万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-06-01 至 2027-01-31
- 项目状态:未结题
- 来源:
- 关键词:AdoptedAffectAftercareAnatomyAnteriorAutopsyAxonBrainBrain MappingCollaborationsCorpus CallosumCorpus striatum structureDataData AnalysesDevelopmentDiffusionDiffusion Magnetic Resonance ImagingDorsalExhibitsFundingGoalsHumanIndividualInjectionsInsula of ReilInternal CapsuleInterventionLabelLimb structureLongitudinal StudiesMRI ScansMacacaMapsMeasuresMethodsModalityMorphologic artifactsNoisePathway interactionsPatientsPositioning AttributePrefrontal CortexProtocols documentationResolutionRoleScanningSignal TransductionTechniquesTherapeutic InterventionTracerTranslatingTravelWorkanalysis pipelineanatomical traceranatomical tracingbrain circuitrybrain pathwaycingulate cortexdata acquisitiondata analysis pipelinedata integrationdesignhuman datahuman subjectin vivoinsightinterestneural circuitneuroimagingnonhuman primatequality assurancereconstructiontooltractographywhite matter
项目摘要
Project summary: The goal of Core B (Structural Connections Core) is to provide support for mapping brain
pathways relevant to the OCD network, in non-human primates and human subjects. This involves bridging
between projects to translate information from anatomical tracing studies to neuroimaging studies that utilize
diffusion MRI. The first aim of Core B is to collect diffusion MRI data with very high resolution and signal-to-
noise ratio on post mortem macaque brains that have previously received tracer injections for P1; and to use
these data to determine which of the pathways identified by diffusion tractography are accurate and which are
artifacts due to the inherent limitations of diffusion MRI. The second aim of core B is to use the insights
generated from the aforementioned macaque studies to guide the analysis of diffusion MRI data from human
subjects in P3-5. Core B will provide these projects with optimized data processing pipelines for mapping the
pathways likely to be involved in OCD, with the ultimate goal of investigating how these pathways differ
between patients and healthy controls (P3), and how they are affected by noninvasive or invasive interventions
(P4-5). Core B will advise the projects on all aspects of diffusion MRI data acquisition, quality assurance, and
analyses to reconstruct and characterize bundles of the OCD network.
项目概述:Core B(结构连接核心)的目标是为映射大脑提供支持
在非人类灵长类动物和人类受试者中,与OCD网络相关的通路。这涉及到桥接
将解剖追踪研究的信息转化为神经成像研究的项目之间,
弥散磁共振成像核心B的首要目标是收集具有极高分辨率和信号-时间比的弥散MRI数据。
噪声比对死后猕猴大脑先前已接受示踪剂注射P1;并使用
这些数据,以确定哪些途径所确定的扩散纤维束成像是准确的,
由于弥散MRI的固有局限性而产生的伪影。核心B的第二个目标是利用洞察力
从上述猕猴研究中产生,以指导来自人类的扩散MRI数据的分析
在P3-5的主题。核心B将为这些项目提供优化的数据处理管道,
可能参与强迫症的途径,最终目标是研究这些途径的不同之处
患者和健康对照之间的差异(P3),以及他们如何受到非侵入性或侵入性干预的影响
(P4-5)。核心B将就弥散MRI数据采集、质量保证和
分析以重构和表征OCD网络的束。
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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Anastasia Yendiki其他文献
Anastasia Yendiki的其他文献
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{{ truncateString('Anastasia Yendiki', 18)}}的其他基金
Bridging diffusion MRI and chemical tracing for validation and inference of fiber architectures
连接扩散 MRI 和化学示踪以验证和推断纤维结构
- 批准号:
10318985 - 财政年份:2020
- 资助金额:
$ 34.09万 - 项目类别:
Bridging Diffusion MRI and Chemical Tracing for Validation and Inference of Fiber Architectures
连接扩散 MRI 和化学示踪以验证和推断纤维结构
- 批准号:
10530636 - 财政年份:2020
- 资助金额:
$ 34.09万 - 项目类别:
Multimodal mapping of the neurocircuitry of the human prefrontal cortex
人类前额皮质神经回路的多模态映射
- 批准号:
9122980 - 财政年份:2016
- 资助金额:
$ 34.09万 - 项目类别:
Penalized-likelihood Algorithms for Time-Domain MR Diffusion Measure Estimation
时域MR扩散测度估计的惩罚似然算法
- 批准号:
8292088 - 财政年份:2010
- 资助金额:
$ 34.09万 - 项目类别:
Penalized-likelihood Algorithms for Time-Domain MR Diffusion Measure Estimation
时域MR扩散测度估计的惩罚似然算法
- 批准号:
8059859 - 财政年份:2010
- 资助金额:
$ 34.09万 - 项目类别:
Penalized-likelihood Algorithms for Time-Domain MR Diffusion Measure Estimation
时域MR扩散测度估计的惩罚似然算法
- 批准号:
8105518 - 财政年份:2010
- 资助金额:
$ 34.09万 - 项目类别:
Penalized-likelihood Algorithms for Time-Domain MR Diffusion Measure Estimation
时域MR扩散测度估计的惩罚似然算法
- 批准号:
7361635 - 财政年份:2008
- 资助金额:
$ 34.09万 - 项目类别:
Penalized-likelihood Algorithms for Time-Domain MR Diffusion Measure Estimation
时域MR扩散测度估计的惩罚似然算法
- 批准号:
7612656 - 财政年份:2008
- 资助金额:
$ 34.09万 - 项目类别:
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