Abstract #3055
Reliability of Resting Brain Networks in BOLD and ASL fMRI across Time and Platforms
Kay Jann 1 , Dylan Gee 2 , Emily Kilroy 3 , Simon Schwab 4 , Tyrone Cannon 5 , and Danny JJ Wang 1
1
Department of Neurology, University of
California, Los Angeles, Los Angeles, California, United
States,
2
Department
of Psychology, University of California, Los Angeles,
Los Angeles, California, United States,
3
Division
of Occupational Science, University of Southern
California, Los Angeles, California, United States,
4
Department
of Psychiatric Neurophysiology, University Hospital of
Psychiatry / University of Bern, Bern, Switzerland,
5
Department
of Psychology, Yale University, New Haven, Connecticut,
United States
The purpose of this study was to investigate the
similarity and reliability of resting brain networks
between BOLD and ASL based rs-fMRI. A 2x2x2 factorial
design was applied where 10 subjects underwent repeated
BOLD and ASL rs-fMRI scans on two occasions on two
separate MRI scanners respectively. While BOLD-networks
showed excellent test-retest-reliability across sessions
and scanners in their spatial pattern, ASL-networks
showed reduced yet still adequate repeatability as well
as highly reproducible network CBF measurements. The
combination of ASL and -BOLD rs-fMRI provides a powerful
tool to fully characterize the spatiotemporal and
quantitative properties of resting brain networks.
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