Neuroinformatics of the Hippocampus: From System-Level to Neuronal Arborizations

海马体的神经信息学:从系统级到神经元树枝化

基本信息

  • 批准号:
    7532436
  • 负责人:
  • 金额:
    $ 15.19万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2008
  • 资助国家:
    美国
  • 起止时间:
    2008-06-18 至 2010-05-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Quantitative neuroanatomy is benefiting greatly from the integration of microscopy with increasingly powerful informatics. High resolution images of wide field histological preparations are captured and stored in the gigapixel range, while, at the cellular level, neuronal arborizations can be digitally reconstructed for morphometric analysis and computational modeling. The investigation of the cross-scale relation between system and cellular level neuroanatomy, however, has been so far largely limited to qualitative considerations. The present neurotechnology project will fill this gap and integrate the three-dimensional representation of brain regions and neuronal morphology focusing on the rat hippocampus as an exemplar structure of wide interest. In particular, a high resolution spatial map of all cytoarchitectural subregions of the hippocampal complex will be constructed from Nissl stained thin sections. Over one hundred digitally reconstructed neurons (including both excitatory and inhibitory cells) will be embedded and replicated throughout the full septotemporal extent of the hippocampus according to their appropriate location and orientation. Axonal and dendritic densities and volume occupancies will be calculated for each layer and along the transverse and longitudinal directions. Axodendritic overlaps will be measured for each pair of major cellular classes to estimate the matrix of potential synaptic connectivity for the complete hippocampal network. The maps for the whole hippocampal complex and full cellular detail will be made publicly available along with the underlying raw data and software source code. The hippocampus is intensely studied for its role in learning and memory and impairment in diseases such as epilepsy and Alzheimer's. A wealth of data is accumulating on its molecular and biophysical properties both in physiological and pathological conditions. This project will provide an anatomical framework to integrate hippocampal knowledge from the cellular to the system level for both experimental and computational neuroscientists. The techniques and research approach developed in this exploratory/developmental study will be extensible to other rat brain regions, and eventually to the whole mammalian central nervous system. PUBLIC HEALTH RELEVANCE The connection between the cellular and system levels of neuroanatomical analysis is a fundamental factor in the structure-function relationship of both the normal and diseased central nervous system. This cross-scale connection can seldom be quantitatively characterized because of the current lack of analytical tools and experimental preparations simultaneously suited for both single cells and entire brain regions. By virtually bridging this gap in a detailed digital montage of the mammalian hippocampus, we will demonstrate the feasibility of synthesizing vast amounts of neuroscience data while providing precise quantitative estimates for essential features of a structure involved in learning, memory, and devastating conditions such as epilepsy and Alzheimer's disease.
描述(申请人提供):定量神经解剖学得益于显微镜学与日益强大的信息学的结合。宽视场组织学准备的高分辨率图像被捕获并存储在十亿像素范围内,而在细胞水平上,神经元分支可以被数字重建,用于形态计量学分析和计算建模。然而,对系统和细胞水平神经解剖学之间的跨尺度关系的研究迄今为止主要局限于定性考虑。目前的神经技术项目将填补这一空白,并将大脑区域的三维表示和以大鼠海马为重点的神经元形态作为广泛关注的范例结构。特别是,将从尼氏染色薄片构建海马复合体所有细胞结构亚区的高分辨率空间图。超过100个数字重建的神经元(包括兴奋性和抑制性细胞)将根据其适当的位置和方向嵌入和复制整个海马体的隔颞区。轴突和树突密度和体积占用将计算每层和沿横向和纵向方向。将测量每对主要细胞类别的轴突重叠,以估计整个海马网络的潜在突触连接矩阵。整个海马体复合体的地图和完整的细胞细节将与潜在的原始数据和软件源代码一起公开。海马体在学习和记忆以及癫痫和阿尔茨海默病等疾病中的作用得到了广泛的研究。关于其在生理和病理条件下的分子和生物物理特性的丰富数据正在积累。该项目将为实验和计算神经科学家提供一个从细胞到系统水平整合海马知识的解剖学框架。在这项探索性/发展性研究中开发的技术和研究方法将扩展到其他大鼠大脑区域,并最终扩展到整个哺乳动物中枢神经系统。神经解剖学分析的细胞和系统水平之间的联系是正常和患病中枢神经系统结构-功能关系的基本因素。由于目前缺乏同时适用于单个细胞和整个大脑区域的分析工具和实验准备,这种跨尺度连接很少能够定量表征。通过哺乳动物海马体的详细数字蒙太奇,我们将展示合成大量神经科学数据的可行性,同时为涉及学习、记忆和癫痫和阿尔茨海默病等破坏性疾病的结构的基本特征提供精确的定量估计。

项目成果

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GIORGIO A ASCOLI其他文献

GIORGIO A ASCOLI的其他文献

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{{ truncateString('GIORGIO A ASCOLI', 18)}}的其他基金

Long-range neuronal projections: circuit blueprint or stochastic targeting? Rigorous classification of brain-wide axonal reconstructions
远程神经元投射:电路蓝图还是随机目标?
  • 批准号:
    10360723
  • 财政年份:
    2021
  • 资助金额:
    $ 15.19万
  • 项目类别:
Anatomical characterization of neuronal cell types of the mouse brain
小鼠大脑神经元细胞类型的解剖学特征
  • 批准号:
    10262970
  • 财政年份:
    2020
  • 资助金额:
    $ 15.19万
  • 项目类别:
Anatomical characterization of neuronal cell types of the mouse brain
小鼠大脑神经元细胞类型的解剖学特征
  • 批准号:
    10225863
  • 财政年份:
    2020
  • 资助金额:
    $ 15.19万
  • 项目类别:
Anatomical characterization of neuronal cell types of the mouse brain
小鼠大脑神经元细胞类型的解剖学特征
  • 批准号:
    9567222
  • 财政年份:
    2017
  • 资助金额:
    $ 15.19万
  • 项目类别:
Cytoskeletal mechanisms of dendrite arbor shape development
树突乔木形状发育的细胞骨架机制
  • 批准号:
    10649463
  • 财政年份:
    2013
  • 资助金额:
    $ 15.19万
  • 项目类别:
Cytoskeletal mechanisms of dendrite arbor shape development
树突乔木形状发育的细胞骨架机制
  • 批准号:
    10162670
  • 财政年份:
    2013
  • 资助金额:
    $ 15.19万
  • 项目类别:
Cytoskeletal mechanisms of dendrite arbor shape development
树突乔木形状发育的细胞骨架机制
  • 批准号:
    10404546
  • 财政年份:
    2013
  • 资助金额:
    $ 15.19万
  • 项目类别:
Reconstruction and Mapping of Human Brain Vasculature
人脑脉管系统的重建和绘图
  • 批准号:
    7860671
  • 财政年份:
    2009
  • 资助金额:
    $ 15.19万
  • 项目类别:
ANATOMICALLY ACCURATE NEURAL NETWORKS: BUILDING A HIPPOCAMPUS
解剖学上精确的神经网络:构建海马体
  • 批准号:
    7369377
  • 财政年份:
    2006
  • 资助金额:
    $ 15.19万
  • 项目类别:
ANATOMICALLY ACCURATE NEURAL NETWORKS: BUILDING A HIPPOCAMPUS
解剖学上精确的神经网络:构建海马体
  • 批准号:
    7182786
  • 财政年份:
    2005
  • 资助金额:
    $ 15.19万
  • 项目类别:
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