权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

A Novel Network Diffusion Model for Alzheimer's And Other Neurodegenerative Disea

阿尔茨海默氏症和其他神经退行性疾病的新型网络扩散模型

基本信息

批准号：
8309156
负责人：
Ashish Raj
金额：
$ 42.25万
依托单位：
WEILL MEDICAL COLL OF CORNELL UNIV
依托单位国家：
美国
项目类别：
财政年份：
2011
资助国家：
美国
起止时间：
2011-08-01 至 2015-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8309156
关键词：
Accounting Affect Algorithms Alzheimer&apos s Disease Amyloid Area Atrophic Biological Neural Networks Brain Brain Diseases Caring Cognitive Computer software Critiques Data Data Set Degenerative Disorder Dementia Diagnosis Diffusion Diffusion Magnetic Resonance Imaging Disease Disease Progression Evaluation Evolution Fiber Fostering Funding Funding Opportunities Future Graph Heating Impaired cognition Individual Institutes MRI Scans Maps Measures Methodology Methods Mission Modeling Monitor Nerve Degeneration Neurodegenerative Disorders Neurologic Pathology Pathway interactions Patients Pattern Pilot Projects Probability Procedures Process Psychometrics Research Resolution Risk Sampling Scanning Science Solutions Study Section System Tauopathies Temperature Temporal Lobe Testing Thick Time United States National Institutes of Health Update Well in self Writing base clinical care design gray matter innovation insight meetings neuroimaging novel older patient outcome forecast relating to nervous system segregation theories tool

项目摘要

DESCRIPTION (provided by applicant): Alzheimer's Disease (AD) and other dementias affect approximately 25 million people worldwide, taking a huge toll on the physical and psychological well being of elderly patients. A major reason for lack of progress in AD treatment is a fundamental lack of understanding regarding its cause and mechanism of progression. Despite impressive progress in detecting and quantifying disease progression in AD using sophisticated neuroanatomic algorithms, there are very few system-level models which can explain the observed patterns of neurodegeneration in AD. We now propose a novel model of atrophy as a diffusion process on a hypothesized brain network. The model mathematically encodes the basic understanding that propagation follows fiber pathways, going from more to less atrophied regions at an outward rate proportional to the local atrophy gradient, in a manner akin to heat transfer in a network with temperature gradients. Surprisingly, the model implies atrophy patterns in AD and other degenerative diseases. Finally, we propose to use our model to predict the future atrophic patterns for any patient using their baseline neuroimaging data.

描述(申请人提供)：阿尔茨海默病(AD)和其他痴呆症影响全球约2500万人，对老年患者的身心健康造成巨大损失。AD治疗缺乏进展的一个主要原因是对其进展的原因和机制缺乏根本的了解。尽管在使用复杂的神经解剖学算法检测和量化AD的疾病进展方面取得了令人印象深刻的进展，但很少有系统水平的模型可以解释观察到的AD神经变性的模式。我们现在提出了一个新的萎缩模型，作为假想的大脑网络上的扩散过程。该模型在数学上编码了这样的基本理解，即传播遵循纤维路径，以与局部萎缩梯度成正比的向外速率从较多萎缩区域到较少萎缩区域，以类似于具有温度梯度的网络中的热传输的方式。令人惊讶的是，该模型暗示了AD和其他退行性疾病的萎缩模式。最后，我们建议使用我们的模型来预测任何患者未来的萎缩模式，使用他们的基线神经成像数据。