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Detecting Perfusion Pattern based on the Background Low-frequency Fluctuation in Resting-State Functional MRI Data and its Influence on Resting-State Networks: An Iterative Post-processing Approach

Published inBrain Connectivity, vol. 7, no. 10, p. 627-634
Publication date2017
Abstract

RS-fMRI is based on the assumption that the vascular response and the blood oxygenation level dependent (BOLD) response are homogenous across the entire brain. However, this a priori hypothesis is not consistent with the well-known variability of cerebral vascular territories. In order to explore whether the RS networks are influenced by varied vascular speed in different vascular territories, we assessed the time-shift maps that give an estimate of the local timing of the vascular response and check whether local differences in this timing have an impact on the estimates of RS networks.

Citation (ISO format)
QIAN, Tianyi et al. Detecting Perfusion Pattern based on the Background Low-frequency Fluctuation in Resting-State Functional MRI Data and its Influence on Resting-State Networks: An Iterative Post-processing Approach. In: Brain Connectivity, 2017, vol. 7, n° 10, p. 627–634. doi: 10.1089/brain.2017.0545
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Journal ISSN2158-0014
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Creation19/11/2017 00:52:00
First validation19/11/2017 00:52:00
Update time15/03/2023 07:35:22
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