The central theme of this project is a T2-Relaxation-Under-Spin-Taggin (TRUST) technique for quantitative measurement of venous blood oxygenation. The work in the current cycle has focused on its utility in fMRI normalization. In the next cycle, we will have two research foci. One is to continue our efforts on fMRI normalization and its dissemination (Aim 1). The other is to examine a new utility of TRUST in evaluations of brain oxygen utilization (Aims 2 and 3). Since oxidative metabolism is the predominant mode of energy generation (ATP production) in the brain, the ability to measure brain oxygen utilization on a standard clinical scanner will have a profound impact in many brain disorders. FMRI provides a non-invasive approach to assess brain function and has the potential of broad clinical applications. A main limitation of the current fMRI technique is that the signal is an indirect measurement of neural activity and is influenced by non-neural factors such as vascular properties of the brain. In the current funding cycle, we have shown that fMRI signal can be normalized with a cost-effective approach, by accounting for baseline venous oxygenation measured with a TRUST MRI technique. We further showed the utility of this normalization in better detection of disease effects or medication effects on neural activity. Our next goal is to make this tool benefit the broader scientific community. Therefore, in the next cycle, one of our emphases is the dissemination of the TRUST technique and the associated fMRI normalization method. We will conduct a multi-site study (in Aim 1) by leveraging resources of several other NIH-funded fMRI projects and adding our 1.2-min TRUST protocol to their scan sessions. We will test whether the TRUST technique can provide reliable estimation of venous oxygenation across sites, through which we aim to show that TRUST- based fMRI normalization can benefit a wide spectrum of fMRI studies with relatively little added costs. Aside from its utility in fMRI normalization, the TRUST technique and the associated measure of venous oxygenation can be extended to estimate cerebral metabolic rate of oxygen (CMRO2), a key marker for tissue viability and brain function. The availability of a clinically practical CMRO2 technique will find immediate applications in many disorders, such as neurodegenerative diseases and metabolic syndrome. The other emphasis of the proposed project will therefore be the further development of MRI techniques to allow a quantitative measurement of CMRO2.
Aim 2 will focus on a global technique which, although not providing regional values, is expected to be fast (<5 min scan time) and highly reliable (coefficient of variation, CoV < 4%), and its utility in Alzheimer's Disease will be examined.
Aim 3 will further push the envelope of technology by focusing on the development and validation of a novel pulse sequence, T2-Relaxation-Under-Phase- Contrast (TRU-PC) MRI, which provides a regional estimation of oxygenation and CMRO2.

Public Health Relevance

Brain function can be studied with a technique called functional MRI. The present project provides a way to improve the fidelity of fMRI signal so that it can better reflect brain function and health. This project will also provide a means to evaluate brain's energy utilization.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH084021-10
Application #
9313711
Study Section
Medical Imaging Study Section (MEDI)
Program Officer
Freund, Michelle
Project Start
2008-09-08
Project End
2019-07-31
Budget Start
2017-08-01
Budget End
2019-07-31
Support Year
10
Fiscal Year
2017
Total Cost
Indirect Cost
Name
Johns Hopkins University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21205
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Jiang, Dengrong; Liu, Peiying; Li, Yang et al. (2018) Cross-vendor harmonization of T2 -relaxation-under-spin-tagging (TRUST) MRI for the assessment of cerebral venous oxygenation. Magn Reson Med 80:1125-1131
Lin, Zixuan; Li, Yang; Su, Pan et al. (2018) Non-contrast MR imaging of blood-brain barrier permeability to water. Magn Reson Med 80:1507-1520
De Vis, Jill B; Peng, Shin-Lei; Chen, Xi et al. (2018) Arterial-spin-labeling (ASL) perfusion MRI predicts cognitive function in elderly individuals: A 4-year longitudinal study. J Magn Reson Imaging 48:449-458
Peng, Shin-Lei; Chen, Xi; Li, Yang et al. (2018) Age-related changes in cerebrovascular reactivity and their relationship to cognition: A four-year longitudinal study. Neuroimage 174:257-262
Mao, Deng; Li, Yang; Liu, Peiying et al. (2018) Three-dimensional mapping of brain venous oxygenation using R2* oximetry. Magn Reson Med 79:1304-1313
Liu, Peiying; De Vis, Jill B; Lu, Hanzhang (2018) Cerebrovascular reactivity (CVR) MRI with CO2 challenge: A technical review. Neuroimage :
Li, Yang; Mao, Deng; Li, Zhiqiang et al. (2018) Cardiac-triggered pseudo-continuous arterial-spin-labeling: A cost-effective scheme to further enhance the reliability of arterial-spin-labeling MRI. Magn Reson Med 80:969-975
De Vis, Jill B; Lu, Hanzhang; Ravi, Harshan et al. (2018) Spatial distribution of flow and oxygenation in the cerebral venous drainage system. J Magn Reson Imaging 47:1091-1098
Wei, Zhiliang; Xu, Jiadi; Liu, Peiying et al. (2018) Quantitative assessment of cerebral venous blood T2 in mouse at 11.7T: Implementation, optimization, and age effect. Magn Reson Med 80:521-528

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