Age and genetic influence on fcMRI networks in autosomal dominant and sporadic AD

年龄和遗传对常染色体显性和散发性 AD 中 fcMRI 网络的影响

• 批准号: 9127072
• 负责人: JASMEER P CHHATWAL
• 金额: $ 16.42万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-15 至 2020-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9127072
• 关键词: Address; Affect; Age; Aging; Alzheimer disease prevention; Alzheimer' s Disease; Alzheimer' s disease risk; American; Amyloid; Amyloid deposition; Attention; Basic Science; Behavior; Biological Markers; Biological Neural Networks; Biometry; Brain; Clinical Research; Clinical Trials; Cognitive; Complex; Data; Dementia; Disease; Disease Marker; Early identification; Elderly; Enrollment; Functional Imaging; Functional disorder; Funding; Future; Genetic; Geriatrics; Goals; Health; Hippocampus (Brain); Image; Image Analysis; Imaging Techniques; Individual; Inherited; Intervention; Magnetic Resonance Imaging; Measures; Memory; Memory Loss; Mentored Patient-Oriented Research Career Development Award; Mentorship; Methods; Motor; Mutation; Neurologic; Neurons; Neuropsychology; Neurosciences; Older Population; Onset of illness; Outcome Measure; Participant; Pathology; Patients; Pattern; Population; Positron-Emission Tomography; Prevention trial; Research Personnel; Risk; Sampling; Sensory; Series; Site; Specificity; Staging; Synapses; System; Techniques; Testing; Time; Training; age effect; age related; aging brain; cognitive change; fluorodeoxyglucose positron emission tomography; imaging biomarker; insight; mild cognitive impairment; mutation carrier; neural correlate; neuron loss; neuropathology; neuropsychological; non-invasive imaging; normal aging; novel; pre-clinical; radioligand; research study; secondary outcome; tau Proteins

 DESCRIPTION (provided by applicant): This is a resubmitted application for a K23 Mentored Patient-Oriented Research Career Development Award. In terms of training, the applicant's goal is to utilize the K23 funding period to complete focused training in functional and image analysis, neuropathology, geriatrics, neuropsychology, and biostatistics. This training will take place through mentorship, a limited number of formal didactics, and through the completion of an ambitious project that will hopefully set the stage for future studies as an independent investigator. Functional connectivity MRI (fcMRI) is a non-invasive method to assess the integrity of anatomically distributed neural networks underlying complex behaviors. In Alzheimer's disease (AD), fcMRI of the default mode network (DMN) has shown great promise as a biomarker in clinical and basic research studies, as (1) profound decreases in DMN fcMRI are seen in prodromal and clinically evident AD and (2) the DMN is among the sites of early amyloid deposition in AD. However, using fcMRI as an early AD biomarker is limited by the overlapping changes in connectivity seen in normal aging, which, in turn, limits the identification of early AD subjects to enroll in clinical trials. To address this limitation, we propose a series f studies that use fcMRI to disambiguate normal aging from early AD by focusing on the pattern of degeneration across six well-described cortical networks in two unique subject populations. The central hypothesis of these studies is that early AD and aging will show distinct patterns of network degradation, with preferential degradation of cognitive networks (especially the Default Mode and Attention Networks) in early AD as compared to aging. We test this hypothesis by comparing young and old subjects with and without evidence of AD pathology, leveraging newly available data from young subjects with dominantly inherited AD (DIAD) drawn from the Dominantly-Inherited Alzheimer's Network (DIAN). Notably, the comparison of the DIAD population and older at-risk and symptomatic patients followed in the Harvard Aging Brain Study represents a unique opportunity to disentangle age and AD pathology, as DIAD carriers have disease onset at a young age (often in the late 30s and early 40s). In addition, using PET data on tau burden in our older subjects (from F18-T807 PET, a newly-developed tau radioligand), we will explore the relative contributions of amyloid and tau pathologies to altered fcMRI. These studies will serve the dual purpose of (1) optimizing the use of fcMRI as an AD biomarker by identifying patterns of fcMRI change that distinguish aging and AD, and (2) provide novel insight into the systems-level pathophysiology that distinguishes aging and AD. Further, these studies will compare the timing and pattern of network degradation in dominantly-inherited vs. sporadic AD and provide critical context for the interpretation of fcMRI data currently being gathered in (a least) three major AD prevention trials in older individuals at-risk for sporadic AD and dominantly-inherited AD.

 描述（由申请人提供）：这是一个K23指导以患者为导向的研究职业发展奖重新提交的申请。在培训方面，申请人的目标是利用K23资助期完成功能和图像分析方面的重点培训， 神经病理学、老年病学、神经心理学和生物统计学。这种培训将通过导师制、有限数量的正式教学法以及完成一个雄心勃勃的项目来进行，该项目有望为今后作为独立调查员的研究奠定基础。 功能性连接MRI（fcMRI）是一种非侵入性方法，用于评估复杂行为背后的解剖分布神经网络的完整性。在阿尔茨海默病（AD）中，默认模式网络（DMN）的fcMRI作为临床和基础研究中的生物标志物显示出很大的前景，因为（1）在前驱和临床明显的AD中观察到DMN fcMRI的显著降低，以及（2）DMN是AD中早期淀粉样蛋白沉积的部位之一。然而，使用fcMRI作为早期AD生物标志物受到正常衰老中观察到的连接性重叠变化的限制，这反过来又限制了识别 早期AD受试者参加临床试验。为了解决这一局限性，我们提出了一系列的研究，使用功能磁共振成像从早期AD消除歧义的正常老化，专注于在两个独特的主题人群中的6个良好描述的皮质网络的退化模式。这些研究的中心假设是，早期AD和衰老将显示出不同的网络退化模式，与衰老相比，早期AD中的认知网络（特别是默认模式和注意力网络）优先退化。我们通过比较有和没有AD病理学证据的年轻和老年受试者来测试这一假设，利用来自显性遗传阿尔茨海默病网络（DIAN）的显性遗传AD（DIAD）年轻受试者的新数据。值得注意的是，在哈佛老龄化脑研究中随访的DIAD人群和老年高危和有症状患者的比较代表了解开年龄和AD病理学的独特机会，因为DIAD携带者在年轻时发病（通常在30岁后期和40岁早期）。此外，使用我们老年受试者中tau负荷的PET数据（来自F18-T807 PET，一种新开发的tau放射性配体），我们将探索淀粉样蛋白和tau病理对改变fcMRI的相对贡献。这些研究将服务于双重目的：（1）通过识别区分衰老和AD的fcMRI变化模式，优化fcMRI作为AD生物标志物的使用，以及（2）为区分衰老和AD的系统水平病理生理学提供新的见解。此外，这些研究将比较显性遗传与散发性AD的网络退化的时间和模式，并为目前在（至少）三个主要的AD预防试验中收集的fcMRI数据的解释提供关键背景，这些试验在有散发性AD和显性遗传AD风险的老年人中进行。