Large Enhancement of Perfusion Contribution on fMRI Signal
Year: 2012
Type: article
Abstract: The perfusion contribution to the total functional magnetic resonance imaging (fMRI) signal was investigated using a rat model with mild hypercapnia at 9.4 T, and human subjects with visual stimulation at 4 T. It was found that the total fMRI signal change could be approximated as a linear superposition of 'true' blood oxygenation level-dependent (BOLD; T(2)/T(2)(*)) effect and the blood flow-related (T(1)) effect. The latter effect was significantly enhanced by using short repetition time and large radiofrequency pulse flip angle and became comparable to the 'true' BOLD signal in response to a mild hypercapnia in the rat brain, resulting in an improved contrast-to-noise ratio (CNR). Bipolar diffusion gradients suppressed the intravascular signals but had no significant effect on the flow-related signal. Similar results of enhanced fMRI signal were observed in the human study. The overall results suggest that the observed flow-related signal enhancement is likely originated from perfusion, and this enhancement can improve CNR and the spatial specificity for mapping brain activity and physiology changes. The nature of mixed BOLD and perfusion-related contributions in the total fMRI signal also has implication on BOLD quantification, in particular, the BOLD calibration model commonly used to estimate the change of cerebral metabolic rate of oxygen.
Authors: Xiao Wang, Xiao-Hong Zhu, Yi Zhang, Wei Chen
Institution: University of Minnesota
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: G2703868037, G4437449955, Study of Brain Oxidative Metabolism by 17-0 imaging, NMR Imaging and Spectroscopy, NMR Imaging and Spectroscopy, Quantitative and Non-invasive Imaging of Oxygen Metabolism in Human Brain, G7446692246, Noninvasive Study of Cerebral ATP Metabolism, Bioenergetics and Brain Function, Neuroscience Cores For MR Studies of the Brain, G934291568
OpenAlex ID: W2004949827
