Effects of global signal regression and subtraction methods on resting-state functional connectivity using arterial spin labeling data

Arterial spin labeling (ASL) is an established magnetic resonance imaging (MRI) technique that is finding broader applications in functional studies of the healthy and diseased brain. To promote improvement in cerebral blood flow (CBF) signal specificity, many algorithms and imaging procedures, such as subtraction methods, were proposed to eliminate or, at least, minimize noise sources. Therefore, this study addressed the main considerations of how CBF functional connectivity (FC) is changed, regarding resting brain network (RBN) identification and correlations between regions of interest (ROI), by different subtraction methods and removal of residual motion artifacts and global signal fluctuations (RMAGSF).

Source: Magnetic Resonance Imaging - May 17, 2018 Category: Radiology Authors: Jo ão Paulo Santos Silva, Luciana da Mata Mônaco, André Monteiro Paschoal, Ícaro Agenor Ferreira de Oliveira, Renata Ferranti Leoni Tags: Original contribution Source Type: research