Quantifying the Microvascular Origin of BOLD-fMRI from First Principles with Two-Photon Microscopy and an Oxygen-Sensitive Nanoprobe

被引:177
作者
Gagnon, Louis [1 ,2 ]
Sakadzic, Sava [1 ]
Lesage, Frederic [3 ]
Musacchia, Joseph J. [1 ]
Lefebvre, Joel [3 ]
Fang, Qianqian [1 ]
Yuecel, Meryem A. [1 ]
Evans, Karleyton C. [1 ]
Mandeville, Emiri T. [1 ]
Cohen-Adad, Juelien [3 ]
Polimeni, Jonaethan R. [1 ]
Yaseen, Mohammad A. [1 ]
Lo, Eng H. [1 ]
Greve, Douglas N. [1 ]
Buxton, Richard B. [5 ]
Dale, Anders M. [4 ,5 ]
Devor, Anna [1 ,4 ,5 ]
Boas, David A. [1 ,2 ]
机构
[1] Harvard Univ, Sch Med, Athinoula A Martinos Ctr Biomed Imaging, Dept Radiol,Massachusetts Gen Hosp, Charlestown, MA USA
[2] Harvard MIT Div Hlth Sci & Technol, Cambridge, MA 02139 USA
[3] Ecole Polytech, Dept Elect Engn, Montreal, PQ H3C 3A7, Canada
[4] Univ Calif San Diego, Dept Neurosci, La Jolla, CA 92093 USA
[5] Univ Calif San Diego, Dept Radiol, La Jolla, CA 92093 USA
关键词
BOLD-fMRI; modeling; Monte Carlo; two-photon microscopy; BLOOD-FLOW; NEURONAL-ACTIVITY; BASE-LINE; VASCULAR NETWORK; PARTIAL-PRESSURE; FUNCTIONAL MRI; HUMAN BRAIN; SIGNAL; MODEL; CONTRAST;
D O I
10.1523/JNEUROSCI.3555-14.2015
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The blood oxygenation level-dependent (BOLD) contrast is widely used in functional magnetic resonance imaging (fMRI) studies aimed at investigating neuronal activity. However, the BOLD signal reflects changes in blood volume and oxygenation rather than neuronal activity per se. Therefore, understanding the transformation of microscopic vascular behavior into macroscopic BOLD signals is at the foundation of physiologically informed noninvasive neuroimaging. Here, we use oxygen-sensitive two-photon microscopy to measure the BOLD-relevant microvascular physiology occurring within a typical rodent fMRI voxel and predict the BOLD signal from first principles using those measurements. The predictive power of the approach is illustrated by quantifying variations in the BOLD signal induced by the morphological folding of the human cortex. This framework is then used to quantify the contribution of individual vascular compartments and other factors to the BOLD signal for different magnet strengths and pulse sequences.
引用
收藏
页码:3663 / 3675
页数:13
相关论文
共 57 条
[1]  
[Anonymous], P INT SOC MAG RESON
[2]   Glial and neuronal control of brain blood flow [J].
Attwell, David ;
Buchan, Alastair M. ;
Charpak, Serge ;
Lauritzen, Martin ;
MacVicar, Brian A. ;
Newman, Eric A. .
NATURE, 2010, 468 (7321) :232-243
[3]   Simple contrivance "clamps" end-tidal Pco2 and Po2 despite rapid changes in ventilation [J].
Banzett, RB ;
Garcia, RT ;
Moosavi, SH .
JOURNAL OF APPLIED PHYSIOLOGY, 2000, 88 (05) :1597-1600
[4]   The cortical angiome: an interconnected vascular network with noncolumnar patterns of blood flow [J].
Blinder, Pablo ;
Tsai, Philbert S. ;
Kaufhold, John P. ;
Knutsen, Per M. ;
Suhl, Harry ;
Kleinfeld, David .
NATURE NEUROSCIENCE, 2013, 16 (07) :889-U150
[5]   Topological basis for the robust distribution of blood to rodent neocortex [J].
Blinder, Pablo ;
Shih, Andy Y. ;
Rafie, Christopher ;
Kleinfeld, David .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2010, 107 (28) :12670-12675
[6]   Avascular anatomical network model of the spatio-temporal response to brain activation [J].
Boas, David A. ;
Jones, Stephanie R. ;
Devor, Anna ;
Huppert, Theodore J. ;
Dale, Anders M. .
NEUROIMAGE, 2008, 40 (03) :1116-1129
[7]   THE INTRAVASCULAR CONTRIBUTION TO FMRI SIGNAL CHANGE - MONTE-CARLO MODELING AND DIFFUSION-WEIGHTED STUDIES IN-VIVO [J].
BOXERMAN, JL ;
BANDETTINI, PA ;
KWONG, KK ;
BAKER, JR ;
DAVIS, TL ;
ROSEN, BR ;
WEISSKOFF, RM .
MAGNETIC RESONANCE IN MEDICINE, 1995, 34 (01) :4-10
[8]   MR CONTRAST DUE TO INTRAVASCULAR MAGNETIC-SUSCEPTIBILITY PERTURBATIONS [J].
BOXERMAN, JL ;
HAMBERG, LM ;
ROSEN, BR ;
WEISSKOFF, RM .
MAGNETIC RESONANCE IN MEDICINE, 1995, 34 (04) :555-566
[9]  
Buxton Richard B, 2010, Front Neuroenergetics, V2, P8, DOI 10.3389/fnene.2010.00008
[10]   MR vascular fingerprinting: A new approach to compute cerebral blood volume, mean vessel radius, and oxygenation maps in the human brain [J].
Christen, T. ;
Pannetier, N. A. ;
Ni, W. W. ;
Qiu, D. ;
Moseley, M. E. ;
Schuff, N. ;
Zaharchuk, G. .
NEUROIMAGE, 2014, 89 :262-270