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Quantitative Methods for Neuroimaging Studies of Interventions in Aging

衰老干预神经影像学研究的定量方法

基本信息

批准号：
8723715
负责人：
MICHELLE WANG
金额：
$ 15.08万
依托单位：
UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-09-15 至 2017-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8723715
关键词：
Adult Aerobic Age Aging Algorithms American Area Attention Award Awareness Bayesian Method Behavior Brain Brain imaging Brain region Clinical Cognition Cognitive Cognitive deficits Communities Complement Computational algorithm Conflict (Psychology)Data Detection Deterioration Development Development Plans Dimensions Economic Burden Elderly Electrical Engineering Engineering Exhibits Faculty Functional Imaging Functional Magnetic Resonance Imaging Funding Health Hippocampus (Brain)Human Hybrids Image Image Analysis Impaired cognition Individual Intervention Intervention Studies Knowledge Laboratories Longevity Longitudinal Studies Machine Learning Magnetic Resonance Imaging Maps Markov Chains Medial Memory Mentors Methodology Methods Mind Modeling Multivariate Analysis Neurosciences Noise Parietal Participant Pattern Performance Phase Physical activity Population Prefrontal Cortex Public Health Quality of life Reporting Research Resolution Risk Behaviors Role Sample Size Sampling Scheme Seeds Sensitivity and Specificity Shapes Statistical Methods Structure Surface Techniques Temporal Lobe Testing Time Training United States National Institutes of Health Work age related aging brain aging mind attentional control base bioimaging career career development clinical application cognitive neuroscience cognitive performance cognitive process executive function experience fitness flexibility gray matter healthy aging hemodynamics imaging biomarker improved interest intervention effect morphometry neural circuit neuroimaging new technology novel public health relevance quantitative imaging relating to nervous system relational memory research study response sedentary shape analysis social spatial memory statistics therapy design tool white matter young adult

项目摘要

DESCRIPTION (provided by applicant): This proposal for an NIH Mentored Quantitative Research Career Award requests support for Dr. Yongmei Michelle Wang as she embarks on a faculty career focused on imaging studies which examine the influence of longitudinal interventions on brain structure and function, and its relationship to cognition and performance, in older adults. The application proposes a research career development plan in the field of neuroimaging, bridging engineering, statistics, and neuroscience. The plan includes two overlapping phases: 1) a didactic phase that emphasizes training, including coursework and laboratory work in the area of cognitive neuroscience, imaging, aging, and interventions to complement Dr. Wang's doctoral training in Electrical Engineering and existing experience in Statistics; and 2) a development phase that focuses on intense development of the proposed research. These two phases will be closely supervised by the mentor and advisor in the area of cognitive neuroscience, brain plasticity, biomedical imaging, aging and interventions. Neuroimaging techniques, such as magnetic resonance imaging (MRI) and functional MRI (fMRI), have been shown to be powerful for characterizing and understanding the structure and function of the human brain. There remains a need, however, for robust and efficient statistical image analysis methods due to the limitations of existing approaches. It is crucial that these analysis techniques be developed with a full understanding of the neuroimaging methods used and the relevant cognitive neuroscience. We propose to develop, implement, and validate integrated computational algorithms for reliable and sensitive analysis of brain MRI and fMRI images, with the following specific aims: 1) Develop, validate and combine novel and efficient univariate and multivariate morphometry analysis methods. 2) Develop and evaluate integrated functional hemodynamic response and connectivity study approaches. 3) Apply these methods to the MRI and fMRI data being collected from separately funded NIA project of the mentor, to examine the effects of aerobic fitness training on brain structure and function of older adults; the neuroscience hypothesis to be tested are: improvements in aerobic fitness, over the course of a 1 year intervention, will result in i) increases in gray and white matter volume and shape changes of subcortical structures of the human brain; and ii) changes in the underlying neural circuits. 4) Develop a brain image analysis toolbox implementing the above methods.

描述（由申请人提供）：这项NIH指导定量研究职业奖的提案要求支持王永梅博士，因为她开始了专注于成像研究的教师职业生涯，研究纵向干预对大脑结构和功能的影响，及其与认知和表现的关系，在老年人中。该申请提出了在神经影像学，桥接工程，统计学和神经科学领域的研究职业发展计划。该计划包括两个重叠的阶段：1）教学阶段，强调培训，包括认知神经科学，成像，衰老和干预领域的课程和实验室工作，以补充王博士在电气工程方面的博士培训和现有的统计学经验;和2）开发阶段，侧重于拟议研究的密集开发。这两个阶段将由认知神经科学，大脑可塑性，生物医学成像，衰老和干预领域的导师和顾问密切监督。神经成像技术，如磁共振成像（MRI）和功能性MRI（fMRI），已被证明是强大的表征和理解人类大脑的结构和功能。然而，由于现有方法的局限性，仍然需要鲁棒且高效的统计图像分析方法。这些分析技术的发展必须充分理解所使用的神经成像方法和相关的认知神经科学。我们建议开发，实施和验证集成的计算算法，用于可靠和灵敏的脑MRI和fMRI图像的分析，具有以下具体目标：1）开发，验证和联合收割机新的和有效的单变量和多变量形态测量分析方法。2)开发和评价综合功能性血流动力学反应和连通性研究方法。3)将这些方法应用于从导师单独资助的NIA项目中收集的MRI和fMRI数据，以检查有氧健身训练对老年人大脑结构和功能的影响;待检验的神经科学假设是：有氧健身的改善，在1年的干预过程中，将导致i）灰色和白色物质体积的增加以及人脑皮层下结构的形状变化;以及ii）底层神经回路的变化。4)开发一个实现上述方法的脑图像分析工具箱。