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.
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.
|Dai, Weiying; Fong, Tamara; Jones, Richard N et al. (2016) Effects of arterial transit delay on cerebral blood flow quantification using arterial spin labeling in an elderly cohort. J Magn Reson Imaging :|
|Dolui, Sudipto; Wang, Ze; Shinohara, Russell T et al. (2016) Structural Correlation-based Outlier Rejection (SCORE) algorithm for arterial spin labeling time series. J Magn Reson Imaging :|
|Dai, Weiying; Varma, Gopal; Scheidegger, Rachel et al. (2016) Quantifying fluctuations of resting state networks using arterial spin labeling perfusion MRI. J Cereb Blood Flow Metab 36:463-73|
|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|
|Kandel, Benjamin M; Wang, Danny J J; Detre, John A et al. (2015) Decomposing cerebral blood flow MRI into functional and structural components: a non-local approach based on prediction. Neuroimage 105:156-70|
|Vidorreta, Marta; Balteau, Evelyne; Wang, Ze et al. (2014) Evaluation of segmented 3D acquisition schemes for whole-brain high-resolution arterial spin labeling at 3 T. NMR Biomed 27:1387-96|
|Wetherill, Reagan R; Jagannathan, Kanchana; Lohoff, Falk W et al. (2014) Neural correlates of attentional bias for smoking cues: modulation by variance in the dopamine transporter gene. Addict Biol 19:294-304|
|Wetherill, Reagan R; Young, Kimberly A; Jagannathan, Kanchana et al. (2013) The impact of sex on brain responses to smoking cues: a perfusion fMRI study. Biol Sex Differ 4:9|
|Lennerz, Belinda S; Alsop, David C; Holsen, Laura M et al. (2013) Effects of dietary glycemic index on brain regions related to reward and craving in men. Am J Clin Nutr 98:641-7|
|Vidorreta, Marta; Wang, Ze; RodrÃguez, Ignacio et al. (2013) Comparison of 2D and 3D single-shot ASL perfusion fMRI sequences. Neuroimage 66:662-71|
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