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DESCRIPTION (provided by applicant): The organization of the human brain relies upon precise connectivity among hundreds of billions of neurons. The vast majority of these connections are established during nervous system development, when neurons find and connect to appropriate targets. To date, detailed studies of neuronal circuit development and maturation have been hampered due to technical limitations that prevent the clear visualization of many interacting neurons. New "Brainbow" transgenic mice, however, use random expression of multiple fluorescent proteins to allow for the clear identification of multiple individual components within complex neuronal circuits. These new tools greatly enhance one's ability to study neuronal connectivity and its development by allowing one to extract previously inaccessible information about specific neural circuits. Using confocal imaging methods, clear circuit diagrams can be constructed by direct visualization of the axons and dendrites of many interacting neurons throughout the nervous system. However, existing methods of image analysis are not sufficient for large Brainbow datasets, requiring new advancements in current techniques. This research proposal aims to create and utilize computer algorithms for automating the reconstruction of large neuronal datasets, and to generate new Brainbow mouse lines for improved analysis. These new tools will then be used to conduct a thorough investigation into how neuronal circuitry develops in the young cerebellum, and how cerebellar circuitry may form abnormally in an ataxic mouse model of the developmental cerebellar disease known as ataxia telangectasia. These studies will help to provide a better understanding of how neuronal circuits develop and function in the mammalian brain. PUBLIC HEALTH RELEVANCE The goal of this work is to understand how circuits form in the developing brain. There are a great deal of human disorders that arise when neurological development goes awry; a better understanding of brain circuitry can lead to appropriate treatments for disease. This research will develop new tools that will help us to understand the developmental mechanisms that lead to normal and abnormal connectivity within the brain.
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EEG Complexity Trajectory as an Early Biomarker for Autism
  • 批准号:
    8410558
  • 项目类别:
  • 资助金额:
    $20.88万
  • 财政年份:
    2012
  • 负责人:
    WILLIAM J BOSL
  • 依托单位:
EEG Complexity Trajectory as an Early Biomarker for Autism
  • 批准号:
    8242924
  • 项目类别:
  • 资助金额:
    $26.1万
  • 财政年份:
    2012
  • 负责人:
    WILLIAM J BOSL
  • 依托单位:
Brainbow: Novel tools for studying the development of neuronal circuits
  • 批准号:
    7683852
  • 项目类别:
  • 资助金额:
    $20.99万
  • 财政年份:
    2008
  • 负责人:
    WILLIAM J BOSL
  • 依托单位:
Analysis of Early Mouse Cerebellar Neuron Developmental Control Pathways
  • 批准号:
    7459735
  • 项目类别:
  • 资助金额:
    $21.02万
  • 财政年份:
    2005
  • 负责人:
    WILLIAM J BOSL
  • 依托单位:
国内基金
海外基金
补阳还五汤通过AGE-RAGE通路调控脓毒症免疫失衡的机制与转化研究
靶向递送一氧化碳调控AGE-RAGE级联反应促进糖尿病创面愈合研究
  • 批准号:
    JCZRQN202500010
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
  • 依托单位:
对香豆酸抑制AGE-RAGE-Ang-1通路改善海马血管生成障碍发挥抗阿尔兹海默病作用
  • 批准号:
    2025JJ70209
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    雷芬芳
  • 依托单位:
AGE-RAGE通路调控慢性胰腺炎纤维化进程的作用及分子机制
  • 批准号:
    --
  • 项目类别:
    面上项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    万荣
  • 依托单位: