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.

National Institute of Health (NIH)
National Institute of Mental Health (NIMH)
Research Project (R01)
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Medical Imaging Study Section (MEDI)
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Freund, Michelle
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University of Texas Sw Medical Center Dallas
Internal Medicine/Medicine
Schools of Medicine
United States
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Ravi, Harshan; Thomas, Binu P; Peng, Shin-Lei et al. (2016) On the optimization of imaging protocol for the mapping of cerebrovascular reactivity. J Magn Reson Imaging 43:661-8
Liu, Peiying; Dimitrov, Ivan; Andrews, Trevor et al. (2016) Multisite evaluations of a T2 -relaxation-under-spin-tagging (TRUST) MRI technique to measure brain oxygenation. Magn Reson Med 75:680-7
Liu, Peiying; Chalak, Lina F; Krishnamurthy, Lisa C et al. (2016) T1 and T2 values of human neonatal blood at 3 Tesla: Dependence on hematocrit, oxygenation, and temperature. Magn Reson Med 75:1730-5
Li, Wenbo; Liu, Peiying; Lu, Hanzhang et al. (2016) Fast measurement of blood T1 in the human carotid artery at 3T: Accuracy, precision, and reproducibility. Magn Reson Med :
Ravi, Harshan; Liu, Peiying; Peng, Shin-Lei et al. (2016) Simultaneous multi-slice (SMS) acquisition enhances the sensitivity of hemodynamic mapping using gas challenges. NMR Biomed 29:1511-1518
Liu, Peiying; Welch, Babu G; Li, Yang et al. (2016) Multiparametric imaging of brain hemodynamics and function using gas-inhalation MRI. Neuroimage :
Krishnamurthy, Lisa C; Mao, Deng; King, Kevin S et al. (2016) Correction and optimization of a T2-based approach to map blood oxygenation in small cerebral veins. Magn Reson Med 75:1100-9
Peng, Shin-Lei; Su, Pan; Wang, Fu-Nien et al. (2015) Optimization of phase-contrast MRI for the quantification of whole-brain cerebral blood flow. J Magn Reson Imaging 42:1126-33
Pascual, Juan M; Ronen, Gabriel M (2015) Glucose Transporter Type I Deficiency (G1D) at 25 (1990-2015): Presumptions, Facts, and the Lives of Persons With This Rare Disease. Pediatr Neurol 53:379-93
Alsop, David C; Detre, John A; Golay, Xavier et al. (2015) Recommended implementation of arterial spin-labeled perfusion MRI for clinical applications: A consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia. Magn Reson Med 73:102-16

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