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HARDI Mapping of Disease Effects on the Brain

HARDI Mapping of Disease Effects on the Brain
哈滴绘制疾病对大脑影响的图谱
批准号:
8323086
负责人:
PAUL M THOMPSON
金额:
$64.27万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-30 至 2016-02-29

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DESCRIPTION (provided by applicant): This project advances the state-of-the-art in High-Angular Resolution Diffusion Imaging (HARDI), a powerful new imaging approach that can resolve fiber pathways in the brain with spectacular precision. Uniting expertise at an NIH-funded National Neuroimaging Resource (at UCLA), the University of Minnesota Center for Magnetic Resonance Research, and Siemens Corporate Research, we aim to demonstrate that HARDI provides new and vital information in assessing clinically important brain degeneration in HIV/AIDS and Alzheimer's Disease (AD), extending our initial findings that revealed how these diseases spread dynamically in the living brain. HARDI applies magnetic field gradients to the brain, in up to 256 different directions, to precisely detail the directions, pathways, and integrity of fibers in the brain. HARDI datasets cannot yet be compared across subjects without new mathematics that treats these signals as lying in Riemannian manifolds. This project provides those tools. Our research will (1) advance the mathematics - based in part on geometry, statistics, and Riemannian manifolds - to extract information from HARDI, and (2) quantify how much HARDI can improve our understanding of brain degeneration, and what factors affect it. Using the extra detail in HARDI images, we will develop a method to enable large-scale multi-subject comparison of HARDI images, by fluidly aligning 3D images across subjects (Aim 1; Multi-subject Alignment). This is the first step towards population studies of disease, e.g., comparing fiber integrity across patient populations to examine gene or treatment effects, or comparing a patient with a normative database. Validation on phantoms and synthetic data is a key part of all Aims. In Aim 2 (Segmentation and Connectivity Mapping), we will develop algorithms to map white matter connectivity, and identify clinically important fiber pathways in the brain, based on the full angular information of HARDI. In Aim 3 (HARDI Statistics), optimized voxel-based statistics will compare HARDI data, point-by-point, across populations, to identify systematic fiber deficits, comparing fiber integrity and connectivity with a normal reference population. In Aim 4 (HARDI Maps of Brain Degeneration), we will evaluate HARDI for revealing new descriptors of AD and HIV-related brain degeneration: two illnesses on which we have published prolifically, where measures of white matter degeneration are sorely lacking. The societal burden of AD and HIV is growing; HIV affects 40 million people worldwide, and AD affects 4.5 million individuals in the U.S. alone; everyone is at risk. Our powerful markers of brain white matter degeneration will help us determine how much benefit HARDI's added resolution provides. This new analytic approach will greatly advance our ability to understand pathological brain degeneration, providing sensitive new measures to track it. This has immediate value for drug trials and patient monitoring. As always, we will share all algorithms, protocols, and images, with 50+ collaborating laboratories. PUBLIC HEALTH RELEVANCE: This project develops tools that unleash the full power of HARDI (high-angular resolution diffusion imaging) to advance clinical studies of the brain. HARDI applies magnetic field gradients to the brain in up to 256 different directions to precisely detail the directions, pathways, and integrity of fibers and their connections. We will evaluate HARDI for understanding and revealing new descriptors of Alzheimer's Disease and HIV-related brain white matter degeneration - with immediate value for drug trials and patient monitoring in HIV, which affects 40 million people worldwide, and in AD, which affects 4.5 million individuals in the U.S. alone.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
A Dynamical Clustering Model of Brain Connectivity Inspired by the N -Body Problem.
受 N 体问题启发的大脑连接动态聚类模型。
DOI: 10.1007/978-3-319-02126-3_13
发表时间: 2013
期刊: Multimodal brain image analysis : third International Workshop, MBIA 2013, held in conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013 : proceedings. MBIA (Workshop) (3rd : 2013 : Nagoya-shi, Japan)
影响因子: --
作者: [Prasad,Gautam, Burkart,Josh, Joshi,ShantanuH, Nir,TaliaM, Toga,ArthurW, Thompson,PaulM]
通讯作者: Thompson,PaulM
Online agglomerative hierarchical clustering of neural fiber tracts.
神经纤维束的在线凝聚层次聚类。
DOI: 10.1109/embc.2013.6609443
发表时间: 2013
期刊: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子: --
作者: [Demir,Ali, Mohamed,Ashraf, Cetingül,HErtan]
通讯作者: Cetingül,HErtan
DOI: 10.1109/tbme.2015.2391913
发表时间: 2015
期刊: IEEE transactions on bio-medical engineering
影响因子: --
作者: [Demir,Ali, Çetingül,HErtan]
通讯作者: Çetingül,HErtan
DOI: 10.1109/isbi.2012.6235827
发表时间: 2012
期刊: Proceedings. IEEE International Symposium on Biomedical Imaging
影响因子: --
作者: [Cetingül HE, Afsari B, Wright MJ, Thompson PM, Vidal R]
通讯作者: Vidal R
CARE4Kids: Imaging Biomarker Core
ENIGMA World Aging Center
  • 批准号:
    10576402
  • 项目类别:
  • 资助金额:
    $64.94万
  • 财政年份:
    2021
  • 负责人:
    PAUL M THOMPSON
  • 依托单位:
ENIGMA World Aging Center
  • 批准号:
    10328963
  • 项目类别:
  • 资助金额:
    $64.96万
  • 财政年份:
    2021
  • 负责人:
    PAUL M THOMPSON
  • 依托单位:
FiberNET: Deep learning to evaluate brain tract integrity worldwide and in AD
海外基金