Characterizing vigilance in fMRI data and its relation to age-related cognitive impairment.

表征功能磁共振成像数据中的警惕性及其与年龄相关认知障碍的关系。

• 批准号: 10562847
• 负责人: Sarah E Goodale
• 金额: $ 4.83万
• 依托单位: VANDERBILT UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-12-01 至 2024-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10562847
• 关键词: Activities of Daily Living; Address; Adult; Age-associated memory impairment; Aging; Alzheimer' s Disease; Arousal; Behavioral trial; Biological Markers; Blood Vessels; Brain; Brain imaging; Clinical; Cognitive; Collaborations; Data; Data Analyses; Detection; Development; Disease; Drowsiness; Elderly; Electroencephalography; Environment; Faculty; Fatigue; Foundations; Functional Magnetic Resonance Imaging; Functional disorder; Goals; Gold; Human; Image; Imaging Device; Impaired cognition; Institution; Interruption; Knowledge; Laboratories; Lead; Link; Magnetic Resonance Imaging; Maps; Measures; Mentorship; Methodology; Methods; Modeling; Neuroanatomy; Neurodegenerative Disorders; Neurosciences; Pathway interactions; Patients; Pattern; Phase; Physiology; Play; Positioning Attribute; Preparation; Research; Research Personnel; Research Training; Resources; Rest; Role; Scientist; Signal Transduction; Source; Statistical Methods; Structure; System; Training; Universities; Variant; Work; age related; age related neurodegeneration; alertness; basal forebrain; base; behavioral response; career; cholinergic; clinical biomarkers; common symptom; design; falls; healthy aging; image guided; image processing; imaging biomarker; imaging study; improved; independent component analysis; indexing; interest; large datasets; mild cognitive impairment; neuroimaging; patient population; potential biomarker; pre-doctoral; sensory stimulus; sleep difficulty; vigilance; white matter; young adult

PROJECT SUMMARY/ABSTRACT Magnetic resonance imaging (MRI) is a powerful non-invasive tool for imaging brain activity that allows for investigating the dynamically changing activity patterns and structure that give rise to human brain function and dysfunction. Functional MRI (fMRI) signal variations linked with vigilance states, and the subcortical-cortical networks that underlie these fluctuations in vigilance, are being increasingly recognized as fMRI signals of interest both for neuroscience and in studying disease. However, vigilance has been largely ignored in routine fMRI studies, despite the fact that subjects tend to fall asleep in the scanner and certain patient populations may be susceptible to fatigue or daytime sleepiness. More precisely characterizing the role of vigilance in disease, and its effects in fMRI data, could be key for developing imaging biomarkers as well as improving treatment. My doctoral work thus far, (Aim 1.1) developed a method for extracting a vigilance metric, based on fMRI data alone, using a vigilance-related activity pattern built from correlations between simultaneous fMRI-EEG in healthy young adults. For my F99 phase, I will (Aim 1.2) investigate whether a state-of-the-art image acquisition/processing method, multi-echo independent component analysis (ME-ICA), improves the correspondence between fMRI signal and EEG signal, and whether using the ME-ICA approach improves sensitivity in detecting subcortical arousal networks. Finally, I will (in Aim 1.3) attempt to distinguish between mild cognitive impaired (MCI) patients and healthy aging controls by leveraging fMRI-based vigilance as a biomarker. By comparing vigilance fluctuations and functional connectivity differences in vigilance network regions of interest, we seek to understand the role of vigilance in early-stage Alzheimer’s disease. The proposed project will help the candidate, Sarah Goodale; achieve her career goal of becoming an independent investigator at the forefront of aging neuroimaging at a research-focused institution. This project provides cutting-edge research training in EEG and fMRI analysis and advanced statistical methods. Further, the proposed studies will provide professional and technical training to prepare the candidate to successfully transition the postdoctoral (K00) phase. The postdoctoral laboratory will extend Sarah’s training to incorporate structural imaging to characterize the impact of structural degeneration on functional networks with respect to age-related cognitive decline. Vanderbilt University is an ideal environment to achieve these goals as it (1) encourages collaboration, (2) has state-of-the-art technical resources to perform cutting-edge research, and (3) contains renowned faculty that encourage training, mentorship, and the development of aspiring researchers. The complete plan proposed for both the F99 and K00 phases is designed to develop an independent neuroimaging scientist prepared for a successful postdoctoral position and transition to an aging focused career, with an ultimate goal of becoming an independent tenured investigator.

项目摘要/摘要 磁共振成像（MRI）是用于成像大脑活动的强大的非侵入性工具，可用于 研究动态变化的活动模式和结构，从而引起人类脑功能和 功能障碍。功能性MRI（fMRI）信号变化与警惕性态和皮层皮层相关的信号变化 这些在警惕性上的波动的网络越来越被认为是fMRI信号 神经科学和研究疾病的兴趣。但是，警惕性在常规中被大大忽略 fMRI研究，认为受试者倾向于在扫描仪和某些患者人群中入睡的事实可能 容易疲劳或白天嗜睡。更精确地表征了警惕性在疾病中的作用， 它在fMRI数据中的影响可能是开发成像生物标志物以及改善治疗的关键。我的 迄今为止，博士工作（AIM 1.1）开发了一种基于fMRI数据提取警惕度量指标的方法， 使用与警惕性相关的活动模式，该模式是由健康Young中简单fmri-eeg之间的相关性构建的 成年人。对于我的F99阶段，我将（AIM 1.2）调查是否最先进的图像获取/处理 方法，多回波独立的组件分析（ME-OCA），改善了fMRI之间的对应关系 信号和脑电图信号，以及使用ME-AICA方法是否可以提高检测皮层的灵敏度 唤醒网络。最后，我（在AIM 1.3中）试图区分轻度认知障碍（MCI）患者 通过利用基于fMRI的警惕性作为生物标志物来控制健康的衰老控制。通过比较警惕 警惕网络中的波动和功能连通性差异，我们寻求 了解警惕在早期阿尔茨海默氏病中的作用。 拟议的项目将帮助候选人莎拉·古德尔（Sarah Goodale）；实现她成为一个职业目标 独立研究者在一个以研究为中心的机构中衰老神经影像的最前沿。这个项目 提供脑电图和fMRI分析和高级统计方法的尖端研究培训。更远， 拟议的研究将提供专业和技术培训，以准备候选人成功 过渡博士后（K00）阶段。博士后实验室将扩展莎拉的培训以纳入 结构成像以表征结构变性对功能网络的影响 与年龄有关的认知下降。范德比尔特大学是实现这些目标的理想环境（1） 鼓励合作，（2）拥有最先进的技术资源来进行尖端研究，（3） 包含著名的教师，鼓励有抱负的研究人员的培训，指导和发展。 F99和K00阶段提出的完整计划旨在发展独立 神经影像学家为成功的博士后职位做准备，并过渡到衰老的职业， 最终的目标是成为独立的终身调查员。