Investigating Anatomic Orientations of Brain Degeneration in Alzheimers Disease

项目总结 阿尔茨海默病(AD)是 大脑 至 干预以减缓疾病的进展 通过干预，无创、昂贵的早期检测方法是关键。使用磁力 磁共振成像(MRI)可以检测大脑中非常微小的解剖学变化，在 最常见的痴呆症。这种疾病与以下变化有关 支持记忆和高级认知功能的结构。导致的病理生理过程 早在临床可检测到的症状出现之前，AD就开始了。目前，没有药物或特别的 已被清楚地证明可以延缓或阻止疾病的发展。 及早发现。拟议的多学科研究项目将涉及调查人员的合作。 来自不同和互补的背景(非机械工程师、磁共振物理学家、神经放射科医生 和 认知 神经科学家) 为了研究早期AD成像生物标记物，这些生物标记物可以来自于 最常见的结构核磁共振扫描。我们 结构 磁共振成像 生物标志物 派生的 从… 提出两个具体的建议 生物力学方法 旨在验证 量度标志 这个 可行性 的 早些时候 广告。 新的 目标1： 考虑到个体大脑的解剖特征，如皮质沟和回的方向，我们将 分析沿着这些神经解剖方向的三维变形。利用阿尔茨海默病 疾病神经成像(ADNI)数据集，我们将纵向比较 变化 减损)， 首创性 在301名认知正常者和870名认知正常者的大脑中 使用在48个月内获得的图像。 人民 使用 的轨迹 AD早期(轻度 解剖学 认知 我们将把统计能力与 在我们的新形态计量学算法之间检测早期AD患者的异常脑退行性变模式 以及常规的体积或皮质厚度测量。目标 预测 和 (宠物) 生物标志物。 纵向 生物标志物 多学科 预付款 2：我们将提出一个统计模型来 个体认知下降，考虑到基线特征在受试者之间的显著差异 疾病进展率。在ADNI数据集中，我们将使用纵向正电子发射断层扫描 图像和MRI生物标记物，以确定MRI、PET和认知之间的时间顺序 这些研究的目标是通过相互关联来评估成像生物标记物的临床实用性。 NeurOp心理评估数据。在这里，我们将确定是单通道成像还是多通道成像 可以预测临床发病下降。可用的大型数据集和 由早期调查员领导的团队将促进取得有意义的结果的可能性 阿尔茨海默病诊断和预防领域 之前的认知 。该框架将成为继续开展以下工作的基础 为在AD的纵向研究中使用结构磁共振生物标记物创造一个新的范例。一旦开发出来，我们的 软件程序将通过一个公共软件开发/共享平台共享。

PROJECT SUMMARY Alzheimer's disease (AD) is the brain to intervention To slow the progression of AD through intervention, a non-invasive and expensive early detection method is key. Using magnetic resonance imaging (MRI) to detect very small anatomic changes in the brain could play an important role in most common form of dementia. The disease is associated with changes in structures that support memory and higher cognitive functions. The pathophysiologic processes leading AD begin well before the onset of clinically detectable symptoms. Currently, no medication or particular has been clearly shown to delay or halt the progression of the disease. early detection. The proposed multidisciplinary research project will involve the collaboration of investigators from diverse and complementary backgrounds (abiomechanical engineer, an MR physicist, a neuroradiologist and cognitive neuroscientists) to investigate early AD imaging biomarkers which can be derived from one of the most common structural MRI scans. We structural MRI biomarkers derived from propose two specific biomechanical methods to aims to validate measure signs the feasibility of early AD. of new Aim 1: Considering anatomic features of individual brains, such as orientations of cortical sulci and gyri, we will analyze three-dimensional deformations along these neuroanatomic orientations. Using the Alzheimer's Disease Neuroimaging (ADNI) dataset, we will compare the longitudinal changes impairment), Initiative in brains of 301 cognitively normal individuals and 870 using images that were obtained over a 48-month period. people with trajectory of early AD (mild anatomic cognitive We will compare the statistical power to detect abnormal brain degeneration patterns in early AD subjects between our new morphometry algorithm and conventional volumetric or cortical thickness measures. Aim predict and (PET) biomarkers. longitudinal biomarkers multidisciplinary advance 2: We will propose a statistical model to individual cognitive decline, considering substantial inter-subject variability in baseline characteristics disease progression rates. Within the ADNI dataset, we will use longitudinal positron emission tomography images and MRI biomarkers, to determine the temporal ordering among MRI, PET, and cognitive The goal of these studies is to gauge the clinical utility of imaging biomarkers by correlating with neurop sychological assessment data. Here, we will determine if single or multi-modality imaging can predict decline clinical onset. The large datasets available and the team led by an Early-Stage Investigator will facilitate the likelihood of meaningful results to the field of AD diagnosis and prevention cognitive before . This framework will be the foundation of continued work to create a new paradigm for use structural MRI biomarkers in longitudinal studies of AD. Once developed, our software programs will be shared through a public software development/sharing platform.