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Characterization and Enhancement of Functional T1rho Imaging

功能性 T1rho 成像的表征和增强

基本信息

批准号：
9925775
负责人：
VINCENT A MAGNOTTA
金额：
$ 34.31万
依托单位：
UNIVERSITY OF IOWA
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-08-01 至 2021-04-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9925775
关键词：
Activities of Daily Living Address Adopted Amides Animal Model Animals Biochemical Process Biology Biosensor Bipolar Disorder Blood Vessels Brain Brain Mapping Brain imaging Brain region Characteristics Chemicals Data Development Disease Frequencies Functional Imaging Functional Magnetic Resonance Imaging Future Glucose Glutamates Human Image Image Enhancement Imaging Techniques Impairment Implant Knowledge Magnetic Resonance Magnetic Resonance Imaging Measurement Measures Mental disorders Metabolism Methods Motion Motor Cortex Mus Noise Panic Disorder Physiologic pulse Preparation Process Protons Receiver Operating Characteristics Relaxation Reproducibility Sampling Signal Transduction Source Spin Labels Techniques Testing Time Tissues Venous Visual Visual Cortex Water Work base blood oxygen level dependent experience hemodynamics hydroxyl group imaging study improved innovation insight macromolecule nervous system disorder novel novel imaging technique patient population relating to nervous system response temporal measurement

项目摘要

PROJECT SUMMARY/ABSTRACT Recent work suggests that functional T1ρ provides a novel imaging technique to study brain function. This signal has been to exist in human and animal studies of the visual cortex. This technique has been shown to be separate from the hemodynamic response typically used to assess brain function using MR imaging. Initial work has shown that this signal responds faster than arterial and venous vascular signals measured using ASL and BOLD imaging respectively. In addition, the T1ρ signal has been shown to be sensitive to metabolism (glucose, glutamate, and pH) as well as neural currents. Finally, we have shown that the functional T1ρ signal was sensitive to changes in panic disorder not evident using BOLD imaging as well as shows a decoupling from the BOLD signal in bipolar disorder. These findings highlight the unique capabilities of this new functional imaging technique, which may provide new insight into psychiatric and neurological disorders. However, a number of gaps exist in our current understanding of the functional T1ρ signal, which this proposal aims to address. The aims of this project include: 1) Determine the relationship between functional T1ρ responses and local metabolites and neural currents using implanted biosensors in animal models; 2) Enhance spatial coverage and temporal sampling of functional T1ρ imaging using multi-band and compressed-sensing; 3) Determine the temporal and spatial response functions of T1ρ relative to BOLD and ASL; and 4) Evaluate the stability, reliability, and accuracy of functional T1ρ mapping. As part of these specific aims, we will evaluate techniques to eliminate the intravascular signal from the measurements and define a canonical impulse response function that can be used in the analysis of future functional T1ρ imaging studies. Finally, the reliability analysis proposed in Aim 4 will determine the ability of functional T1ρ mapping to be adopted by other groups and extend the technique to paradigms outside of the visual cortex. The proposed study will allow us to interpret the functional changes between patient populations by understanding the source of the functional T1ρ signal. The understanding of the signal source will also highlight many other psychiatric and neurological disorders where this functional imaging technique can be applied.