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| Hauptseite > Publikationsdatenbank > Comparison of Resting-State Brain Activation Detected by BOLD, Blood Volume and Blood Flow > print |
| Hauptseite > Publikationsdatenbank > Comparison of Resting-State Brain Activation Detected by BOLD, Blood Volume and Blood Flow > print |
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| 024 | 7 | _ | |a 10.3389/fnhum.2018.00443 |2 doi |
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| 100 | 1 | _ | |a Zhang, Ke |0 P:(DE-Juel1)142359 |b 0 |
| 245 | _ | _ | |a Comparison of Resting-State Brain Activation Detected by BOLD, Blood Volume and Blood Flow |
| 260 | _ | _ | |a Lausanne |c 2018 |b Frontiers Research Foundation |
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| 520 | _ | _ | |a Resting-state brain activity has been widely investigated using blood oxygenation level dependent (BOLD) contrast techniques. However, BOLD signal changes reflect a combination of the effects of cerebral blood flow (CBF), cerebral blood volume (CBV), as well as the cerebral metabolic rate of oxygen (CMRO2). In this study, resting-state brain activation was detected and compared using the following techniques: (a) BOLD, using a gradient-echo echo planar imaging (GE-EPI) sequence; (b) CBV-weighted signal, acquired using gradient and spin echo (GRASE) based vascular space occupancy (VASO); and (c) CBF, using pseudo-continuous arterial spin labeling (pCASL). Reliable brain networks were detected using VASO and ASL, including sensorimotor, auditory, primary visual, higher visual, default mode, salience and left/right executive control networks. Differences between the resting-state activation detected with ASL, VASO and BOLD could potentially be due to the different temporal signal-to-noise ratio (tSNR) and the short post-labeling delay (PLD) in ASL, along with differences in the spin-echo readout of VASO. It is also possible that the dynamics of spontaneous fluctuations in BOLD, CBV and CBF could differ due to biological reasons, according to their location within the brain. |
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| 700 | 1 | _ | |a Huang, Dengfeng |0 P:(DE-Juel1)161223 |b 1 |
| 700 | 1 | _ | |a Shah, N. J. |0 P:(DE-Juel1)131794 |b 2 |e Corresponding author |
| 773 | _ | _ | |a 10.3389/fnhum.2018.00443 |g Vol. 12, p. 443 |0 PERI:(DE-600)2425477-0 |p 443 |t Frontiers in human neuroscience |v 12 |y 2018 |x 1662-5161 |
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