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III: Small: Modeling Multi-Level Connectivity of Brain Dynamics

III: Small: Modeling Multi-Level Connectivity of Brain Dynamics
III:小:模拟大脑动力学的多级连接
批准号:
1908299
负责人:
Ruogu Fang
金额:
$50.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-10-01 至 2024-09-30

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中文摘要
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英文摘要
The temporal dynamics of blood flows through the network of cerebral arteries and veins provides a window into the health of the human brain. Since the brain is vulnerable to disrupted blood supply, brain dynamics serves as a crucial indicator for many kinds of neurological diseases such as stroke, brain cancer, and Alzheimer's disease. Existing efforts at characterizing brain dynamics have predominantly centered on 'isolated' models in which data from single-voxel, single-modality, and single-subject are characterized. However, the brain is a vast network, naturally connected on structural and functional levels, and multimodal imaging provides complementary information on this natural connectivity. Thus, the current isolated models are deemed not capable of offering the platform necessary to enable many of the potential advancements in understanding, diagnosing, and treating neurological and cognitive diseases, leaving a critical gap between the current computational modeling capabilities and the needs in brain dynamics analysis. This project aims to bridge this gap by exploiting multi-scale structural (voxel, vasculature, tissue) connectivity and multi-modal (anatomical, angiography, perfusion) connectivity to develop an integrated connective computational paradigm for characterizing and understanding brain dynamics.The approach consists of three thrusts: (1) multi-scale structural connectivity modeling to quantify brain dynamics beyond a single voxel; (2) multimodal dynamic dictionary learning for mining hidden complementary information; and (3) multicenter evaluation to assess the efficacy of the proposed models at three nationally renowned healthcare systems. Successful project completion would potentially transform the rapidly evolving field of brain dynamics modeling, facilitate basic neuroscience discovery and enable comprehensive identification of neurovascular diseases. Aiming to broaden its impact this project will also implement educational initiatives to expose students, middle school teachers, and medical professionals to 'CS for All,' to foster interests in STEM and cross-disciplinary careers, and to promote research on the convergence of computer science and computational thinking for brain health and neuromedicine.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(27)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.brs.2020.10.001
发表时间: 2020-11
期刊: Brain stimulation
影响因子: 7.7
作者: [Albizu A, Fang R, Indahlastari A, O'Shea A, Stolte SE, See KB, Boutzoukas EM, Kraft JN, Nissim NR, Woods AJ]
通讯作者: Woods AJ
Multimodal CT Image Super-Resolution via Transfer-GAN
通过 Transfer-GAN 实现多模态 CT 图像超分辨率
DOI: --
发表时间: 2020
期刊: Biomedical Engineering Society Annual Meeting
影响因子: --
作者: [Xiao, Yao, Fang, Ruogu]
通讯作者: Fang, Ruogu
Transfer generative adversarial network for multimodal CT image super-resolution (Conference Presentation)
用于多模态 CT 图像超分辨率的转移生成对抗网络(会议演示)
DOI: 10.1117/12.2549533
发表时间: 2020
期刊: Medical Imaging 2020: Image Processing
影响因子: --
作者: [Xiao, Yao, Fang, Ruogu]
通讯作者: Fang, Ruogu
DOI: 10.1063/5.0066049
发表时间: 2021-08
期刊: Physics of Fluids
影响因子: 4.6
作者: [B. Siddani;S. Balachandar;R. Fang]
通讯作者: B. Siddani;S. Balachandar;R. Fang
20
    NCS-FO: Brain-Informed Goal-Oriented and Bidirectional Deep Emotion Inference
    • 批准号:
      2318984
    • 项目类别:
      Standard Grant
    • 资助金额:
      $92.0万
    • 财政年份:
      2023
    • 负责人:
      Ruogu Fang
    • 依托单位:
    CRII: SCH: Characterizing, Modeling and Evaluating Brain Dynamics
    • 批准号:
      1758430
    • 项目类别:
      Standard Grant
    • 资助金额:
      $14.15万
    • 财政年份:
      2017
    • 负责人:
      Ruogu Fang
    • 依托单位:
    CRII: SCH: Characterizing, Modeling and Evaluating Brain Dynamics
    • 批准号:
      1564892
    • 项目类别:
      Standard Grant
    • 资助金额:
      $17.5万
    • 财政年份:
      2016
    • 负责人:
      Ruogu Fang
    • 依托单位:
    国内基金
    海外基金
    昼夜节律性small RNA在血斑形成时间推断中的法医学应用研究
    • 批准号:
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2024
    • 负责人:
    • 依托单位:
    tRNA-derived small RNA上调YBX1/CCL5通路参与硼替佐米诱导慢性疼痛的机制研究
    • 批准号:
    • 项目类别:
      省市级项目
    • 资助金额:
      10.0万元
    • 批准年份:
      2022
    • 负责人:
      张祥忠
    • 依托单位:
    Small RNA调控I-F型CRISPR-Cas适应性免疫性的应答及分子机制
    Small RNAs调控解淀粉芽胞杆菌FZB42生防功能的机制研究
    • 批准号:
      31972324
    • 项目类别:
      面上项目
    • 资助金额:
      58.0万元
    • 批准年份:
      2019
    • 负责人:
      高学文
    • 依托单位: