Trajectories of normal cerebral blood flow development in youth. Commentary on: Liu et al. Resting state cerebral blood flow with arterial spin labeling MRI in developing human brains

2018 ◽  
Vol 22 (4) ◽  
pp. 582-583
Author(s):  
Joseph O'Neill
2018 ◽  
Vol 22 (4) ◽  
pp. 642-651 ◽  
Author(s):  
Feng Liu ◽  
Yunsuo Duan ◽  
Bradley S. Peterson ◽  
Iris Asllani ◽  
Fernando Zelaya ◽  
...  

2020 ◽  
Vol 73 ◽  
pp. 84-90 ◽  
Author(s):  
Ya-Nan Zhang ◽  
Yi-Ran Huang ◽  
Jun-Lian Liu ◽  
Feng-Quan Zhang ◽  
Bing-Yue Zhang ◽  
...  

2010 ◽  
Vol 30 (5) ◽  
pp. 913-922 ◽  
Author(s):  
Michael E Kelly ◽  
Christoph W Blau ◽  
Karen M Griffin ◽  
Oliviero L Gobbo ◽  
James FX Jones ◽  
...  

Blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) is the most widely used method for mapping neural activity in the brain. The interpretation of altered BOLD signals is problematic when cerebral blood flow (CBF) or cerebral blood volume change because of aging and/or neurodegenerative diseases. In this study, a recently developed quantitative arterial spin labeling (ASL) approach, bolus-tracking ASL (btASL), was applied to an fMRI experiment in the rat brain. The mean transit time (MTT), capillary transit time (CTT), relative cerebral blood volume of labeled water (rCBVlw), relative cerebral blood flow (rCBF), and perfusion coefficient in the forelimb region of the somatosensory cortex were quantified during neuronal activation and in the resting state. The average MTT and CTT were 1.939±0.175 and 1.606±0.106 secs, respectively, in the resting state. Both times decreased significantly to 1.616±0.207 and 1.305±0.201 secs, respectively, during activation. The rCBVlw, rCBF, and perfusion coefficient increased on average by a factor of 1.123±0.006, 1.353±0.078, and 1.479±0.148, respectively, during activation. In contrast to BOLD techniques, btASL yields physiologically relevant indices of the functional hyperemia that accompanies neuronal activation.


Heliyon ◽  
2021 ◽  
pp. e07615
Author(s):  
Shiva Shahrampour ◽  
Justin Heholt ◽  
Andrew Wang ◽  
Faezeh Vedaei ◽  
Feroze B. Mohamed ◽  
...  

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