Arterial Spin Labeling (ASL) perfusion MRI shows promise as a widely available and quantitative measure of resting brain function that can be used as a biomarker for the neural correlates of psychiatric and neurologic diseases, for the measurement of drug effects in the brain, and ultimately for diagnosis and treatment monitoring in individual patients. Although ASL perfusion MRI technologies are now implemented on most MRI scanner platforms, uncertainty in the community on the performance differences of various technical implementations and how to best use the technology across centers and MRI scanner platforms has limited its dissemination into routine use in clinical research. Building upon our successful development of quantification methods and standard sequences across platforms in the prior funding cycle, we propose to focus on the key issues limiting multi-center studies with ASL.
Our first aim i s to measure the relative sensitivity of different implementations of ASL by comparing their reproducibility and their response to 2 test interventions, citalopram or alprazolam administration. The result of this aim will be a quantitative calculation of power for detection of regional effects and how the choice of implementation will affect the power and required sample size.
The second aim i s to develop quality assessment methods using customized image acquisitions and the construction of a perfusion phantom. Quality assurance is a key element of imaging studies across sites, but there are no established methods for testing ASL perfusion performance. In our final aim, we target the characterization and reduction of variable perfusion signal induced by changes in brain activity unrelated to study interventions, so-called physiological noise. We will determine whether performing a moderately demanding vigilance task during the ASL scan will help control the subject's mental state and reduce variability without excessively stimulating particular regions of the brain. We will also study resting fluctuations in perfusion induced by network activity in the brain to determine if identifying and removing these fluctuations during image processing improves reproducibility.
This aim will also determine if the amplitude of resting fluctuations is reflective of resting perfusion. Since resting brain fluctuations as measured by blood oxygenation sensitive MRI are increasingly being used as an indicator of resting function, establishing a relationship between fluctuations and average resting activity will address an outstanding question in functional imaging. Achievement of these aims will accelerate and improve the use of ASL as a biomarker for brain function in disease and will greatly improve the design of numerous planned and active multi-site studies employing ASL.

Public Health Relevance

This proposal will improve a magnetic resonance imaging technique for seeing resting activity levels in regions of the brain. It is particularly focused on assuring the technique can be best used for studies at many different centers. These improvements will make possible more sensitive testing and study of drugs and other treatments for emotional and brain disorders, and potentially improved selection of treatments for individual patients.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH080729-05
Application #
8820281
Study Section
Special Emphasis Panel (ZRG1-BDCN-J (02))
Program Officer
Freund, Michelle
Project Start
2007-09-27
Project End
2018-03-31
Budget Start
2015-04-01
Budget End
2016-03-31
Support Year
5
Fiscal Year
2015
Total Cost
$625,472
Indirect Cost
$144,940
Name
Beth Israel Deaconess Medical Center
Department
Type
DUNS #
071723621
City
Boston
State
MA
Country
United States
Zip Code
02215
Liu, Hua-Shan; Jawad, Abbas F; Laney, Nina et al. (2018) Effect of blood T1 estimation strategy on arterial spin labeled cerebral blood flow quantification in children and young adults with kidney disease. J Neuroradiol :
Liu, Hua-Shan; Hartung, Erum A; Jawad, Abbas F et al. (2018) Regional Cerebral Blood Flow in Children and Young Adults with Chronic Kidney Disease. Radiology 288:849-858
Li, Zhengjun; Vidorreta, Marta; Katchmar, Natalie et al. (2018) Effects of resting state condition on reliability, trait specificity, and network connectivity of brain function measured with arterial spin labeled perfusion MRI. Neuroimage 173:165-175
Zhao, Li; Chang, Ching-Di; Alsop, David C (2018) Controlling T2 blurring in 3D RARE arterial spin labeling acquisition through optimal combination of variable flip angles and k-space filtering. Magn Reson Med 80:1391-1401
Chang, Yulin V; Vidorreta, Marta; Wang, Ze et al. (2017) 3D-accelerated, stack-of-spirals acquisitions and reconstruction of arterial spin labeling MRI. Magn Reson Med 78:1405-1419
Hshieh, Tammy T; Dai, Weiying; Cavallari, Michele et al. (2017) Cerebral blood flow MRI in the nondemented elderly is not predictive of post-operative delirium but is correlated with cognitive performance. J Cereb Blood Flow Metab 37:1386-1397
Zhao, Li; Vidorreta, Marta; Soman, Salil et al. (2017) Improving the robustness of pseudo-continuous arterial spin labeling to off-resonance and pulsatile flow velocity. Magn Reson Med 78:1342-1351
Dolui, Sudipto; Vidorreta, Marta; Wang, Ze et al. (2017) Comparison of PASL, PCASL, and background-suppressed 3D PCASL in mild cognitive impairment. Hum Brain Mapp 38:5260-5273
Zhao, Li; Dai, Weiying; Soman, Salil et al. (2017) Using Anatomic Magnetic Resonance Image Information to Enhance Visualization and Interpretation of Functional Images: A Comparison of Methods Applied to Clinical Arterial Spin Labeling Images. IEEE Trans Med Imaging 36:487-496
Dolui, Sudipto; Wang, Ze; Shinohara, Russell T et al. (2017) Structural Correlation-based Outlier Rejection (SCORE) algorithm for arterial spin labeling time series. J Magn Reson Imaging 45:1786-1797

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