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
基本信息
- 批准号:9122980
- 负责人:
- 金额:$ 57.3万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-09-30 至 2020-06-30
- 项目状态:已结题
- 来源:
- 关键词:AlgorithmsAnatomyArchitectureAreaAtlasesAutistic DisorderAxonBrainComplexCorpus CallosumCustomDataDestinationsDevelopmentDiffusionDiffusion Magnetic Resonance ImagingFiberGoldHistological TechniquesHumanImageImage AnalysisImaging TechniquesImaging technologyIndividualInjection of therapeutic agentMacacaMagnetic Resonance ImagingMapsMeasurementMeasuresMental disordersMethodsMicroscopicModelingMonkeysMyelinOptical Coherence TomographyPathway interactionsPrefrontal CortexProbabilityProtocols documentationResearchResearch PersonnelResolutionScanningShapesSoftware ToolsSourceStaining methodStainsStructureSystemTaxonomyTechniquesTemporal LobeTimeTracerUncertaintyValidationVertebral columnWorkbasebioimagingbrain circuitrybrain tissueclinically relevantconnectomedesignimprovedin vivoinstrumentinstrumentationinterestmodel buildingneuroimagingnonhuman primatenoveloptical imagingpublic health relevancereconstructiontoolwater diffusionwhite matter
项目摘要
DESCRIPTION (provided by applicant): The objective of the proposed research is to map the organization of human white matter (WM) with cutting-edge ex vivo imaging technologies. This work will produce microscopic-level information on several long-range WM projections, as well as a more targeted mapping of circuits that serve the prefrontal cortex (PFC). These circuits are of particular interest in psychiatric applications but they have been heretofore mapped extensively only in non-human primates. Specifically, recent work with tracer injection studies in macaque monkeys has established how small fiber bundles that originate in different areas of the PFC reach their destinations by using the large WM pathways, such as the cingulum bundle (CB), corpus callosum (CC) and uncinate fasciculus (UF), as their conduits. For example, the UF is composed of several sub-bundles: some that follow the entire trajectory of the UF and others that join the UF only for part of its trajectory to then jump off and join other large pathways, like the CB, CC, etc. Mapping these distinct components of larger WM pathways in the human brain is challenging both in vivo and ex vivo. Invasive injection studies are not applicable to humans and conventional 2D histological techniques like myelin staining cannot be used to infer the 3D orientation of axon bundles. Diffusion MRI (dMRI) can provide estimates of these orientations indirectly, by measuring the diffusion of water molecules through the WM. However, it is prone to errors in areas of complex WM architecture and requires validation by an independent source of measurements. In this work we will combine high-resolution, high-SNR ex vivo dMRI with polarization-sensitive optical coherence tomography (PS-OCT) in post mortem human brains to extract microscopic information on WM areas that confound conventional dMRI, and to perform a detailed mapping of the projections of the PFC. We will take advantage of the MGH Connectom scanner, a unique instrument that can achieve 8 times stronger diffusion-encoding gradients than routine scanners, and was designed specifically for high-SNR, high-resolution dMRI. We will develop a specialized receive coil array for imaging ex vivo human brains on the Connectom scanner, which will allow us to collect whole-brain dMRI data with unprecedented resolution and SNR. The gold-standard dMRI and PS-OCT data produced by this work will be used to construct a novel atlas of WM anatomy, which will be incorporated in a tool for automated global probabilistic tractography, building on prior work by the PI. This tool will allow both the new, detailed taxonomy of smaller WM bundles, as well as the classical definitions of large WM pathways, to be reconstructed automatically from routine-quality in vivo dMRI data that can be collected on conventional scanners. The proposed work promises to advance our understanding of the organization of human neurocircuitry; to move human dMRI studies from the current view of a WM pathway as a single bundle to one where multiple smaller bundles merge on and off a pathway at different parts along its trajectory; and to provide the tools for studying this detailed WM taxonomy using routine neuroimaging data.
描述(由申请人提供):拟议研究的目的是利用尖端的离体成像技术绘制人类白质(WM)组织的图谱,这项工作将在几个远程 WM 投影上提供微观水平的信息,如以及服务于前额叶皮层(PFC)的更有针对性的回路映射这些回路在精神病学应用中特别令人感兴趣,但迄今为止它们仅在非人类灵长类动物中进行了映射,特别是最近的示踪剂注射研究工作。在猕猴中,研究人员确定了源自 PFC 不同区域的小纤维束如何通过使用大 WM 通路(例如扣带束 (CB)、胼胝体 (CC) 和钩束 (UF))作为其到达目的地的方式。例如,UF 由多个子束组成:一些子束遵循 UF 的整个轨迹,而其他子束仅在其轨迹的一部分中加入 UF,然后跳出并加入其他大型导管。绘制人脑中较大 WM 通路的这些不同组成部分无论是体内还是离体都具有挑战性,侵入性注射研究不适用于人类,并且不能使用髓磷脂染色等传统的 2D 组织学技术。扩散 MRI (dMRI) 可以通过测量水分子在 WM 中的扩散来间接估计这些方向,但在复杂区域中很容易出现错误。 WM 架构并需要独立测量源的验证。在这项工作中,我们将在死后人脑中将高分辨率、高信噪比离体 dMRI 与偏振敏感光学相干断层扫描 (PS-OCT) 结合起来,以提取有关的微观信息。混淆传统 dMRI 的 WM 区域,并对 PFC 投影进行详细映射。我们将利用 MGH Connectom 扫描仪,这是一种独特的仪器,可以实现增强 8 倍的扩散编码。梯度比常规扫描仪高,并且专为高信噪比、高分辨率 dMRI 设计。我们将开发一种专门的接收线圈阵列,用于在 Connectom 扫描仪上对离体人脑进行成像,这将使我们能够收集全脑 dMRI 数据。这项工作产生的黄金标准 dMRI 和 PS-OCT 数据将用于构建新的 WM 解剖图谱,该图谱将在以前的基础上纳入自动全局概率纤维束成像工具中。该工具将允许根据常规扫描仪收集的常规质量体内 dMRI 数据自动重建较小 WM 束的新的详细分类法以及大型 WM 通路的经典定义。这项拟议的工作有望增进我们对人类神经回路组织的理解,使人类 dMRI 研究从当前将 WM 通路视为单个束的观点转变为多个较小的束沿其不同部分在通路上合并的观点。轨迹;并提供使用常规神经影像数据研究这种详细 WM 分类的工具。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Anastasia Yendiki其他文献
Anastasia Yendiki的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ 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:
10530636 - 财政年份:2020
- 资助金额:
$ 57.3万 - 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:
10318985 - 财政年份:2020
- 资助金额:
$ 57.3万 - 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:
$ 57.3万 - 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:
$ 57.3万 - 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:
$ 57.3万 - 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:
$ 57.3万 - 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:
$ 57.3万 - 项目类别:
相似国自然基金
儿童脊柱区腧穴针刺安全性的发育解剖学及三维数字化研究
- 批准号:82360892
- 批准年份:2023
- 资助金额:32 万元
- 项目类别:地区科学基金项目
寰枢椎脱位后路钉棒内固定系统复位能力优化的相关解剖学及生物力学研究
- 批准号:82272582
- 批准年份:2022
- 资助金额:52 万元
- 项目类别:面上项目
基于次生乳管网络结构发育比较解剖学和转录组学的橡胶树产胶机制研究
- 批准号:
- 批准年份:2022
- 资助金额:54 万元
- 项目类别:面上项目
基于垂体腺瘤海绵窦侵袭模式的相关膜性解剖学及影像学研究
- 批准号:
- 批准年份:2022
- 资助金额:30 万元
- 项目类别:青年科学基金项目
亚热带典型阔叶树种径向生长的解剖学特征及其碳分配调控机制
- 批准号:
- 批准年份:2022
- 资助金额:30 万元
- 项目类别:青年科学基金项目
相似海外基金
Vessel Identification and Tracing in DSA Image Series for Cerebrovascular Surgical Planning
用于脑血管手术计划的 DSA 图像系列中的血管识别和追踪
- 批准号:
10726103 - 财政年份:2023
- 资助金额:
$ 57.3万 - 项目类别:
Distortion Correction in Functional MRI with Deep Learning
利用深度学习进行功能 MRI 畸变校正
- 批准号:
10647991 - 财政年份:2023
- 资助金额:
$ 57.3万 - 项目类别:
Deciphering the Glycan Code in Human Alzheimer's Disease Brain
破译人类阿尔茨海默病大脑中的聚糖代码
- 批准号:
10704673 - 财政年份:2023
- 资助金额:
$ 57.3万 - 项目类别:
Wearable elastography for ambulatory monitoring of tissue mechanics
用于组织力学动态监测的可穿戴弹性成像
- 批准号:
10726529 - 财政年份:2023
- 资助金额:
$ 57.3万 - 项目类别:
Identifying microscopic vasculature within entorhinal cortex in healthy aging and its proximity to pathology profiles in Alzheimer's disease
识别健康衰老过程中内嗅皮层内的微观脉管系统及其与阿尔茨海默氏病病理特征的接近程度
- 批准号:
10657895 - 财政年份:2023
- 资助金额:
$ 57.3万 - 项目类别: