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Tau-induced connectome imaging markers of Alzheimer's disease

Tau-induced connectome imaging markers of Alzheimer's disease
Tau 诱导的阿尔茨海默病连接组成像标志物
批准号:
10062748
负责人:
Yonggang Shi
金额:
$213.06万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-01 至 2024-08-31

项目摘要

项目成果

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中文摘要
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Abstract Hyperphosphorylated tau tangle is a defining hallmark of the Alzheimer’s disease (AD). Neuropathological and recent tau PET imaging studies suggest that tau deposition has a much stronger correlation with clinical symptoms than do amyloid plaques. The Braak staging suggests the neuron-to-neuron propagation of tau pathology through axonal pathways, which has been supported with increasing evidence from animal and post- mortem human studies. Limited research, however, has been conducted for the in vivo examination of connectivity changes of fiber pathways involved in tau pathology propagation. There is thus a clear knowledge gap regarding WHEN (specific tau pathology stage) and WHERE (specific fiber pathways) tau-induced connectivity changes occur during the disease course of AD. Building upon our extensive track record in connectome modeling and brain surface mapping, in this project we will develop novel computational tools for the systematic examination of different types of fiber pathways involved in the propagation of tau pathology: the short association fibers in the superficial white matter (SWM), the long association fibers within each hemisphere, and the commissural fibers connecting the two hemispheres. Our project will leverage existing tau PET and connectome imaging datasets that include: ADNI3 for late onset AD (LOAD) and the Estudio de la Enfermaded de Alzheimer en Jalisciences (EEAJ) study for autosomal dominant AD (ADAD). This provides us the unique opportunity to study ADAD and LOAD as being on an AD continuum and obtain a more complete characterization of the fiber pathways affected by the tau pathology from the early prodromal stage to the ultimate onset of AD. In addition, we will use an independent dataset (n=2000) from the Health & Aging Brain among Latino Elders (HABLE) study to validate the generalizability of our computational tools and connectome imaging makers to the Mexican American population. There are three specific aims in this project: 1. To develop novel computational tools for measuring superficial and deep white matter connectivity associated with tau propagation. 2. To map tau-induced connectivity changes of fiber pathways in AD. 3. To develop connectome-based prediction of tau- related cognitive changes in AD. Our project will for the first time provide the comprehensive and in vivo characterization of the fiber pathways affected by tau pathology in AD. This will help elucidate the role of different fiber pathways in the propagation of tau pathology at different disease stages, in particular the U-fibers in the SWM and the commissural fibers responsible for inter-hemispheric communications. The results from our study will provide more targeted connectome imaging makers for the early prediction of AD, especially in studies without tau PET imaging. All computational tools developed in this project will be freely distributed to the research community to enable other AD imaging researchers for more robust and thorough investigation of tau pathology networks.
期刊论文(15)
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会议论文
A probabilistic atlas of locus coeruleus pathways to transentorhinal cortex for connectome imaging in Alzheimer's disease.
用于阿尔茨海默病连接组成像的蓝斑通路到内嗅皮层的概率图谱
DOI: 10.1016/j.neuroimage.2020.117301
发表时间: 2020-12
期刊: NeuroImage
影响因子: 5.7
作者: [Sun W, Tang Y, Qiao Y, Ge X, Mather M, Ringman JM, Shi Y, for Alzheimer's Disease Neuroimaging Initiative]
通讯作者: for Alzheimer's Disease Neuroimaging Initiative
Flow-based Geometric Interpolation of Fiber Orientation Distribution Functions.
纤维取向分布函数的基于流的几何插值。
DOI: 10.1007/978-3-031-43993-3_5
发表时间: 2023
期刊: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
影响因子: --
作者: [Nie,Xinyu, Shi,Yonggang]
通讯作者: Shi,Yonggang
DOI: 10.1109/tmi.2021.3134496
发表时间: 2022-05
期刊: IEEE transactions on medical imaging
影响因子: 10.6
作者: []
通讯作者:
FASSt : Filtering via Symmetric Autoencoder for Spherical Superficial White Matter Tractography.
FASSt:通过对称自动编码器进行过滤,用于球形浅表白质纤维束成像。
DOI: 10.1007/978-3-031-47292-3_12
发表时间: 2023
期刊: Computational diffusion MRI : MICCAI Workshop
影响因子: --
作者: [Li,Yuan, Nie,Xinyu, Fu,Yao, Shi,Yonggang]
通讯作者: Shi,Yonggang
11
    Shape-based personalized AT(N) imaging markers of Alzheimer's disease
    Brainstem connectomes related to Alzheimer's disease
    Project: TR&D 3 (Intrinsic Shape Analysis)
    Surface-Based Fiber Tracking and Modeling Techniques for Mapping the Superficial White Matter Connectome with Diffusion MRI
    海外基金