Experimental Design and the Relative Sensitivity of BOLD and Perfusion fMRI

By G. Aguirre, John A. Detre, E. Zarahn, David C Alsop. NeuroImage, 2002

393 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/f3a44c6b4b32c4830437fa86dee6b9216380ff4e

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Patient-specific detection of perfusion abnormalities combining within-subject and between-subject variances in Arterial Spin Labeling (2013, background): “While in fMRI temporal autocorrelation must be accounted for (Aguirre et al., 1997), in ASL, thanks to the subtraction process between control and labeled scans, we can reasonably assume white noise (Aguirre et al., 2002; Mumford et al., 2006).”
Effects of transcranial direct current stimulation (tDCS) on human regional cerebral blood flow (2011, background): “The excellent temporal stability of ASL experiments (Aguirre et al., 2002) is particularly useful for examining tDCS effects as compared to BOLD imaging, since tDCS is usually applied for several minutes in order to modulate behavior and cognition (Nitsche et al., 2002; Nitsche and Paulus, 2000).”
Imaging Brain Fatigue from Sustained Mental Workload: An ASL Perfusion Study of the Time-On-Task Effect (2009, background): “ASL perfusion imaging also offers reliable measures of CBF with excellent reproducibility over long time periods (Aguirre et al., 2002).”
Neurocognitive Consequences of Sleep Deprivation (2005, neutral): “ASL-perfusion fMRI also offers reliable measures of cerebral blood flow with excellent reproducibility over long time periods.(153,163) These features suggest that ASL-perfusion 328 SEMINARS IN NEUROLOGY/VOLUME 29, NUMBER 4 2009”
A temporal comparison of BOLD, ASL, and NIRS hemodynamic responses to motor stimuli in adult humans (2006, result): “A similar temporal lag between BOLD and ASL has also been previously noted in other studies (Liu et al., 2000, Yang et al., 2000, Aguirre et al., 2002).”
Empirical optimization of ASL data analysis using an ASL data processing toolbox: ASLtbx. (2008, methodology): “Due to this pairwise subtraction of temporally adjacent images, the ASL data demonstrate a reduction of the low frequency signal drifts that degrade functional MRI based on BOLD contrast over time [3].”