MRI Biomarker Discovery for Preclinical Alzheimers Disease with Geometry Methods

描述（由申请人提供）：我们将开发和应用新的几何算法，从症状前个体和阿尔茨海默病神经影像学倡议（ADNI）数据集的亚利桑那州APOE队列中获得的脑mri。我们的初步结果显示，APOE e4携带者和非携带者，无论是健康对照者还是ADNI轻度认知障碍（MCI）患者，在几个脑区存在统计学上的显著差异。在当前的项目中，我们将继续使用扩散几何和双曲共形几何开发新的MRI分析方法。具体来说，我们将开发脑灰质形态学特征来测量灰质形态学变化，并将我们的表面流体配准方法扩展到双曲庞加莱盘模型，以匹配侧心室表面。该系统将重点关注大脑皮层和皮层下的两个结构：灰质和侧脑室，并计算它们的完整几何特征，以测量所有与阿尔茨海默病相关的萎缩。这可能提供一种有效的方法来查明与已知的神经退行性风险和迟发性AD的保护因素相关的不同易感性的分区域。以调查可靠性和

DESCRIPTION (provided by applicant): We will develop and apply novel geometric algorithms to brain MRIs obtained from the well-characterized Arizona APOE cohort of presymptomatic individuals and the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset. Our preliminary results have shown statistically significant differences in several brain regions between APOE e4 carriers and non-carriers who were either healthy controls or patients with mild cognitive impairment (MCI) in the ADNI. In the current project we will continue developing novel MRI analysis methods using diffusion geometry and hyperbolic conformal geometry. Specifically, we will develop brain grey matter morphology signatures to measure grey matter morphometry changes and will also extend our surface fluid registration method to hyperbolic Poincar disk model to match lateral ventricular surfaces. The proposed system will focus on two brain cortical and subcortical structures: grey matter and lateral ventricle and compute their complete geometric features to measure all AD related atrophy. This may provide an effective way to pinpoint subregional areas of differential vulnerability associated with known neurodegenerative risk and protective factors for late-onset AD. To investigate the reliability and practicality of our method, we seek to 1) validate developed algorithms with established models in an independent cohort of Arizona APOE carriers, 2) explore APOE genetic influence in MCI patients and healthy subjects in the ADNI dataset and younger presymptomatic individuals of Arizona APOE cohort, and 3) explore additional regions of anatomical interest so as to develop MRI biomarkers for the identification of preclinical stage Alzheimer's disease that in turn will facilitate the therapeutic goals of prevention and earlier intervention to delay dementia onset and retard dementia progression.