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CBF, BOLD, CBV, and CMRO 2 fMRI signal temporal dynamics at 500‐msec resolution
Author(s) -
Shen Qiang,
Ren Hongxia,
Duong Timothy Q.
Publication year - 2008
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.21203
Subject(s) - cerebral blood flow , cerebral blood volume , somatosensory system , neuroscience , nuclear magnetic resonance , temporal resolution , functional magnetic resonance imaging , dynamics (music) , oxygenation , nuclear medicine , physics , medicine , psychology , cardiology , optics , acoustics
Abstract Purpose To investigate the temporal dynamics of blood oxygenation level‐dependent (BOLD), cerebral blood flow (CBF), cerebral blood volume (CBV), and cerebral metabolic rate of oxygen (CMRO 2 ) changes due to forepaw stimulation with 500‐msec resolution in a single setting. Materials and Methods Forepaw stimulation and hypercapnic challenge on rats were studied. CBF and BOLD functional MRI (fMRI) were measured using the pseudo‐continuous arterial spin‐labeling technique at 500‐msec resolution. CBV fMRI was measured using monocrystalline iron‐oxide particles following CBF and BOLD measurements in the same animals. CMRO 2 change was estimated via the biophysical BOLD model with hypercapnic calibration. Percent changes and onset times were analyzed for the entire forepaw somatosensory cortices and three operationally defined cortical segments, denoted Layers I–III, IV–V, and VI. Results BOLD change was largest in Layers I–III, whereas CBF, CBV, and CMRO 2 changes were largest in Layers IV–V. Among all fMRI signals in all layers, only the BOLD signal in Layers I–III showed a poststimulus undershoot. CBF and CBV dynamics were similar. Closer inspection showed that CBV increased slightly first ( P < 0.05), but was slow to peak. CBF increased second, but peaked first. BOLD significantly lagged both CBF and CBV ( P < 0.05). Conclusion This study provides important temporal dynamics of multiple fMRI signals at high temporal resolution in a single setting. J. Magn. Reson. Imaging 2008. © 2008 Wiley‐Liss, Inc.

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