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Temporal Dynamics and Spatial Specificity of Arterial and Venous Blood Volume Changes During Visual Stimulation: Implication for BOLD Quantification

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Abstract

Determination of compartment-specific cerebral blood volume (CBV) changes is important for understanding neurovascular physiology and quantifying blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI). In isoflurane-anesthetized cats, we measured the spatiotemporal responses of arterial CBV (CBV(a)) and total CBV (CBV(t)) induced by a 40-second visual stimulation, using magnetization transfer (MT)-varied BOLD and contrast-agent fMRI techniques at 9.4 T. To determine the venous CBV (CBV(v)) change, we calculated the difference between CBV(t) and CBV(a) changes. The dynamic response of CBV(a) was an order of magnitude faster than that of CBV(v), while the magnitude of change under steady-state conditions was similar between the two. Following stimulation offset, ΔCBV(a) showed small poststimulus undershoots, while ΔCBV(v) slowly returned to baseline. The largest CBV(a) and CBV(t) response occurred after 10 seconds of simulation in cortical layer 4, which we identified as the stripe of Gennari by T(1)-weighted MRI. The CBV(v) response, however, was not specific across the cortical layers during the entire stimulation period. Our data indicate that rapid, more-specific arterial vasodilation is followed by slow, less-specific venous dilation. Our finding implies that the contribution of CBV(v) changes to BOLD signals is significant for long, but not short, stimulation periods.

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References
1.
Bock N, Kocharyan A, Liu J, Silva A . Visualizing the entire cortical myelination pattern in marmosets with magnetic resonance imaging. J Neurosci Methods. 2009; 185(1):15-22. PMC: 2783340. DOI: 10.1016/j.jneumeth.2009.08.022. View

2.
Ibaraki M, Miura S, Shimosegawa E, Sugawara S, Mizuta T, Ishikawa A . Quantification of cerebral blood flow and oxygen metabolism with 3-dimensional PET and 15O: validation by comparison with 2-dimensional PET. J Nucl Med. 2007; 49(1):50-9. DOI: 10.2967/jnumed.107.044008. View

3.
Buxton R, Wong E, Frank L . Dynamics of blood flow and oxygenation changes during brain activation: the balloon model. Magn Reson Med. 1998; 39(6):855-64. DOI: 10.1002/mrm.1910390602. View

4.
Kim S, Rostrup E, Larsson H, Ogawa S, Paulson O . Determination of relative CMRO2 from CBF and BOLD changes: significant increase of oxygen consumption rate during visual stimulation. Magn Reson Med. 1999; 41(6):1152-61. DOI: 10.1002/(sici)1522-2594(199906)41:6<1152::aid-mrm11>3.0.co;2-t. View

5.
Walters N, Egan G, Kril J, Kean M, Waley P, Jenkinson M . In vivo identification of human cortical areas using high-resolution MRI: an approach to cerebral structure-function correlation. Proc Natl Acad Sci U S A. 2003; 100(5):2981-6. PMC: 151452. DOI: 10.1073/pnas.0437896100. View