Arterial Spin Labeling (ASL) is a method designed to measure blood perfusion. In special, brain perfusion is measured as the cerebral blood flow (CBF), whose time-series fluctuations allow its use in functional analysis. This study aimed to run a dual-echo pseudo-continuous ASL acquisition and analyze its capacity to identify brain networks activated during a verbal fluency task and study the dynamic of brain areas during task and rest conditions. Results showed that it is possible to access language networks based on CBF-ASL, and reported differences in connectivity between both conditions analyzed.
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