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Investigation of Brain Elasticity in Aging and Alzheimer's Disease Enabled by Optical Coherence Elastography

通过光学相干弹性成像技术研究衰老和阿尔茨海默病中的脑弹性

基本信息

批准号：
10064951
负责人：
Gary Ruian Ge
金额：
$ 5.05万
依托单位：
UNIVERSITY OF ROCHESTER
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-30 至 2024-09-29
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10064951
关键词：
Age Aging Alzheimer&apos s Disease Alzheimer&apos s disease brain Autopsy Basic Science Biological Biomechanics Brain Brain region Breast Cardiovascular Diseases Case Study Categories Complex Computing Methodologies Cornea Data Disease Disease Progression Disease model Elasticity Elderly Engineering Evolution Fibrosis Future Goals Health Promotion Heart Heterogeneity Human Image Imaging Techniques In Situ Injury Investigation Lateral Light Link Liver Liver diseases Longevity Magnetic Resonance Elastography Magnetic Resonance Imaging Malignant Neoplasms Maps Measurement Measures Mechanics Methods Modeling Modification Modulus Mus Muscle Muscle Contraction Nerve Degeneration Neurodegenerative Disorders Onset of illness Optical Coherence Tomography Optics Pathology Pattern Physicians Planet Earth Population Process Property Protocols documentation Research Research Personnel Research Project Grants Resolution Scientist Skin Speed Structure Surveys Techniques Testing Time Tissues Training Transducers Ultrasonography Variant base brain tissue clinical diagnostics elastography engineering design ex vivo imaging high resolution imaging imaging modality imaging system improved in vivo in vivo imaging insight mechanical properties millimeter mouse model neuroimaging neuropathology normal aging physical property potential biomarker pre-clinical soft tissue success theories viscoelasticity

项目摘要

PROJECT SUMMARY The rapidly advancing field of “elastography” has had some major successes in answering basic science questions and improving clinical diagnostics and therapies. For example, increased liver stiffness is strongly correlated with advanced liver disease such as fibrosis, increased aortic stiffness has been linked with cardiovascular disease, and multiple cancers can be assessed with viscoelastic heterogeneity. Other studies have used the physical properties of tissue to investigate the relationship between structure and function, such as muscle contraction and corneal refraction of light. However, changes in the local and global biomechanical properties of brain tissue associated with aging and neurodegenerative diseases have not been extensively studied and quantified. These changes could serve as potential biomarkers for the onset and progression of disease. Pathology and autopsy case studies have provided some qualitative insight, and magnetic resonance elastography (MRE) studies have demonstrated some general patterns. However, current techniques require technical refinement and much remains to be elucidated about the relationship between the evolution of brain biomechanics and these complex processes. There are several approaches that employ optical coherence tomography (OCT), a high-resolution imaging modality, to obtain the mechanical properties of biological tissues. These techniques are generally referred to as optical coherence elastography (OCE), and have demonstrated promising applications with studies in cornea, breast, muscle, heart, and skin. In this project, recent advances in OCT and elastography techniques are applied to advanced murine neuropathology models. OCE will be performed in mice ex vivo / in situ and in vivo to study the aging process and Alzheimer’s disease. Shear waves are introduced into brain tissue via transducers, and an OCT imaging system captures volumetric data with lateral and axial resolutions of a few microns. Variations in the softness and stiffness of cortical brain tissue with respect to time will be quantified. Specifically, the use of reverberant shear wave fields for elastography, which takes advantage of inevitable reflections from boundaries and tissue inhomogeneities, allows for estimation of the shear wave speed, which is directly related to the elastic modulus of soft tissues. The project requires precise engineering design, which presents an addressable experimental challenge. The goal of this project is to quantify how shear wave speeds (related to stiffness of tissues) change with aging or the onset and progression of Alzheimer’s disease using mouse models, with direct implications to future human studies.

项目总结