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：
8518485
负责人：
Ashish Raj
金额：
$ 32.62万
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/8518485
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（由申请人提供）：阿尔茨海默氏病（AD）和其他痴呆症影响了全球约2500万人，对老年患者的身体和心理健康造成了巨大损失。缺乏AD治疗进展的主要原因是对其原因和进展机制的根本性缺乏了解。尽管使用复杂的神经解剖算法在检测和量化AD中的疾病进展方面令人印象深刻，但很少有系统级模型可以解释AD中观察到的神经变性的模式。现在，我们提出了一种新型的萎缩模型作为假设的大脑网络上的扩散过程。该模型在数学上编码了基本的理解，即传播遵循纤维途径，以与局部萎缩梯度成正比的外向速率从更多到较少的萎缩区域，类似于与温度梯度的网络中的热传递。令人惊讶的是，该模型意味着AD和其他退化性疾病中的萎缩模式。最后，我们建议使用我们的模型使用其基线神经成像数据来预测任何患者的未来萎缩模式。