Non-BOLD contrast for laminar fMRI in humans: CBF, CBV, and CMRO2

Functional magnetic resonance imaging (fMRI) using the blood oxygenation level-dependent (BOLD) contrast indirectly probes neuronal activity changes via evoked cerebral blood flow (CBF), cerebral blood volume (CBV) and cerebral metabolic rate of oxygen (CMRO2) changes. The gradient-echo BOLD signal is mostly sensitive to ascending veins in the tissue and to pial veins. Thereby, the achievable spatial specificity to neuronal activation is limited. Furthermore, the non-linear interaction of CBF, CBV and CMRO2 can hamper quantitative interpretations of the BOLD signal across cortical depths with different baseline physiology. Measuring CBF, CBV or CMRO2 directly on a depth-dependent level has the potential to overcome these limitations. Here, we review these candidates of physiologically well-defined contrasts with the particular focus on arterial spin labeling (ASL), vascular space occupancy (VASO) and calibrated fMRI. These methods are reviewed with respect to their fMRI sequence parameter space and the applicability for neuroscientific studies in humans. We show representative results of depth-dependent 'non-BOLD-fMRI' in humans and their spatiotemporal characteristics. We conclude that non-BOLD methods are promising alternatives compared to conventional fMRI as they can provide improved spatial specificity, quantifiability and, hence, physiological interpretability as a function of cortical depth. At submillimeter resolution with inherently low signal-to-noise ratio (SNR), however, their use is still challenging. Nevertheless, we believe that 'non-BOLD-fMRI' is a useful alternative for depth-dependent investigations, by providing valuable insights into neurovascular coupling models that facilitate the interpretability of fMRI for neuroscientific applications.

[1]  Gary Glover,et al.  Ferumoxytol enhanced resting state fMRI and relative cerebral blood volume mapping in normal human brain , 2013, NeuroImage.

[2]  Laurentius Huber,et al.  Techniques for blood volume fMRI with VASO: From low-resolution mapping towards sub-millimeter layer-dependent applications , 2018, NeuroImage.

[3]  R. Buxton Neuroenergetics Review Article , 2022 .

[4]  R. Buxton,et al.  Quantitative imaging of perfusion using a single subtraction (QUIPSS and QUIPSS II) , 1998 .

[5]  Jun Hua,et al.  Implementation of vascular‐space‐occupancy MRI at 7T , 2013, Magnetic resonance in medicine.

[6]  Fahmeed Hyder,et al.  Dynamics of Changes in Blood Flow, Volume, and Oxygenation: Implications for Dynamic Functional Magnetic Resonance Imaging Calibration , 2007, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[7]  Josef Pfeuffer,et al.  Comparison of pulsed arterial spin labeling encoding schemes and absolute perfusion quantification. , 2009, Magnetic resonance imaging.

[8]  E. Haacke,et al.  Theory of NMR signal behavior in magnetically inhomogeneous tissues: The static dephasing regime , 1994, Magnetic resonance in medicine.

[9]  G. Crelier,et al.  Linear coupling between cerebral blood flow and oxygen consumption in activated human cortex. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[10]  Steen Moeller,et al.  Combined imaging–histological study of cortical laminar specificity of fMRI signals , 2006, NeuroImage.

[11]  Ying Cheng,et al.  A three-dimensional single-scan approach for the measurement of changes in cerebral blood volume, blood flow, and blood oxygenation-weighted signals during functional stimulation , 2017, NeuroImage.

[12]  B. T. Thomas Yeo,et al.  A Spotlight on Bridging Microscale and Macroscale Human Brain Architecture , 2017, Neuron.

[13]  R. Goebel,et al.  Frequency preference and attention effects across cortical depths in the human primary auditory cortex , 2015, Proceedings of the National Academy of Sciences.

[14]  Peter Herman,et al.  Quantitative basis for neuroimaging of cortical laminae with calibrated functional MRI , 2013, Proceedings of the National Academy of Sciences.

[15]  Seong-Gi Kim,et al.  Cortical layer-dependent arterial blood volume changes: Improved spatial specificity relative to BOLD fMRI , 2010, NeuroImage.

[16]  Vanessa Sluming,et al.  Calibrated fMRI during a cognitive Stroop task reveals reduced metabolic response with increasing age , 2012, NeuroImage.

[17]  Qin Qin,et al.  Hematocrit and oxygenation dependence of blood 1H2O T1 at 7 tesla , 2013, Magnetic resonance in medicine.

[18]  Richard D. Hoge,et al.  Age dependence of hemodynamic response characteristics in human functional magnetic resonance imaging , 2013, Neurobiology of Aging.

[19]  R. Hoge,et al.  A generalized procedure for calibrated MRI incorporating hyperoxia and hypercapnia , 2013, Human brain mapping.

[20]  Kamil Ugurbil,et al.  What is feasible with imaging human brain function and connectivity using functional magnetic resonance imaging , 2016, Philosophical Transactions of the Royal Society B: Biological Sciences.

[21]  Seong-Gi Kim,et al.  Temporal Dynamics and Spatial Specificity of Arterial and Venous Blood Volume Changes during Visual Stimulation: Implication for Bold Quantification , 2011, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[22]  Stephen D. Mayhew,et al.  Dynamic Forcing of End-Tidal Carbon Dioxide and Oxygen Applied to Functional Magnetic Resonance Imaging , 2007, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[23]  R. Shulman,et al.  Determination of the rate of the glutamate/glutamine cycle in the human brain by in vivo 13C NMR. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[24]  N. Logothetis,et al.  Spatial Specificity of BOLD versus Cerebral Blood Volume fMRI for Mapping Cortical Organization , 2007, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[25]  J. Hyde,et al.  Spatial correlations of laminar BOLD and CBV responses to rat whisker stimulation with neuronal activity localized by Fos expression , 2004, Magnetic resonance in medicine.

[26]  J. Mink,et al.  Ratio of central nervous system to body metabolism in vertebrates: its constancy and functional basis. , 1981, The American journal of physiology.

[27]  Lucy S. Petro,et al.  Contextual Feedback to Superficial Layers of V1 , 2015, Current Biology.

[28]  Lawrence L. Wald,et al.  Automatic cortical surface reconstruction of high-resolution T 1 echo planar imaging data , 2016, NeuroImage.

[29]  S. Francis,et al.  Implementation of quantitative perfusion imaging using pulsed arterial spin labeling at ultra‐high field , 2009, Magnetic resonance in medicine.

[30]  Richard Wise,et al.  A calibration method for quantitative BOLD fMRI based on hyperoxia , 2007, NeuroImage.

[31]  Jonathan R. Polimeni,et al.  Analysis strategies for high-resolution UHF-fMRI data , 2017, NeuroImage.

[32]  R. Shulman,et al.  Stoichiometric coupling of brain glucose metabolism and glutamatergic neuronal activity. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[33]  N. Logothetis,et al.  The Effect of Labeling Parameters on Perfusion-Based fMRI in Nonhuman Primates , 2008, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[34]  R. Goebel,et al.  Cortical Depth Dependent Functional Responses in Humans at 7T: Improved Specificity with 3D GRASE , 2013, PloS one.

[35]  Jun Hua,et al.  Noninvasive functional imaging of cerebral blood volume with vascular‐space‐occupancy (VASO) MRI , 2013, NMR in biomedicine.

[36]  N. Logothetis,et al.  Neurophysiological investigation of the basis of the fMRI signal , 2001, Nature.

[37]  S. Laughlin,et al.  An Energy Budget for Signaling in the Grey Matter of the Brain , 2001, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[38]  René S. Kahn,et al.  Associated Microscale Spine Density and Macroscale Connectivity Disruptions in Schizophrenia , 2016, Biological Psychiatry.

[39]  Seong-Gi Kim,et al.  Cerebral blood volume MRI with intravascular superparamagnetic iron oxide nanoparticles , 2013, NMR in biomedicine.

[40]  J. Pekar,et al.  Functional magnetic resonance imaging based on changes in vascular space occupancy , 2003, Magnetic resonance in medicine.

[41]  R. Gruetter,et al.  Simultaneous Determination of the Rates of the TCA Cycle, Glucose Utilization, α-Ketoglutarate/Glutamate Exchange, and Glutamine Synthesis in Human Brain by NMR , 1995, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[42]  Thomas Christen,et al.  Contrast-enhanced functional blood volume imaging (CE-fBVI): Enhanced sensitivity for brain activation in humans using the ultrasmall superparamagnetic iron oxide agent ferumoxytol , 2012, NeuroImage.

[43]  J. J. Chen,et al.  BOLD‐specific cerebral blood volume and blood flow changes during neuronal activation in humans , 2009, NMR in biomedicine.

[44]  M. Germuska,et al.  The Influence of Noise on Bold-Mediated Vessel Size Imaging Analysis Methods , 2013, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[45]  Richard Berg,et al.  Sensitivity and specificity. , 2005, Clinical medicine & research.

[46]  P. Jezzard,et al.  Quantitative measurement of cerebral physiology using respiratory-calibrated MRI , 2012, NeuroImage.

[47]  R G Shulman,et al.  In vivo 13C NMR measurements of cerebral glutamine synthesis as evidence for glutamate-glutamine cycling. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[48]  N. Logothetis,et al.  High-resolution fMRI of macaque V1. , 2007, Magnetic resonance imaging.

[49]  Jens Frahm,et al.  The post-stimulation undershoot in BOLD fMRI of human brain is not caused by elevated cerebral blood volume , 2008, NeuroImage.

[50]  A. Fleisher,et al.  Effects of aging on cerebral blood flow, oxygen metabolism, and blood oxygenation level dependent responses to visual stimulation , 2009, Human brain mapping.

[51]  Peter Jezzard,et al.  Measurement of cerebral blood volume in humans using hyperoxic MRI contrast , 2007, Journal of magnetic resonance imaging : JMRI.

[52]  A. Alavi,et al.  The [18F]Fluorodeoxyglucose Method for the Measurement of Local Cerebral Glucose Utilization in Mane , 1979, Circulation research.

[53]  Yihong Yang,et al.  Simultaneous MRI acquisition of blood volume, blood flow, and blood oxygenation information during brain activation , 2004, Magnetic resonance in medicine.

[54]  Robert Turner,et al.  Slab‐selective, BOLD‐corrected VASO at 7 Tesla provides measures of cerebral blood volume reactivity with high signal‐to‐noise ratio , 2014, Magnetic resonance in medicine.

[55]  B. Rosen,et al.  Dynamic functional imaging of relative cerebral blood volume during rat forepaw stimulation , 1998, Magnetic resonance in medicine.

[56]  Josef Pfeuffer,et al.  Optimization of simultaneous multislice EPI for concurrent functional perfusion and BOLD signal measurements at 7T , 2016, Magnetic resonance in medicine.

[57]  Gary F. Egan,et al.  Using carbogen for calibrated fMRI at 7Tesla: Comparison of direct and modelled estimation of the M parameter , 2014, NeuroImage.

[58]  M. Raichle,et al.  The Effects of Changes in PaCO2 Cerebral Blood Volume, Blood Flow, and Vascular Mean Transit Time , 1974, Stroke.

[59]  Essa Yacoub,et al.  Sensitivity and specificity considerations for fMRI encoding, decoding, and mapping of auditory cortex at ultra-high field , 2018, NeuroImage.

[60]  Seong-Gi Kim,et al.  Quantification of cerebral arterial blood volume and cerebral blood flow using MRI with modulation of tissue and vessel (MOTIVE) signals , 2005, Magnetic resonance in medicine.

[61]  Kâmil Uludag,et al.  Linking brain vascular physiology to hemodynamic response in ultra-high field MRI , 2017, NeuroImage.

[62]  N. Logothetis,et al.  Neural and BOLD responses across the brain. , 2012, Wiley interdisciplinary reviews. Cognitive science.

[63]  N. Logothetis,et al.  Dopamine-Induced Dissociation of BOLD and Neural Activity in Macaque Visual Cortex , 2014, Current Biology.

[64]  Leonie Lampe,et al.  Baseline oxygenation in the brain: Correlation between respiratory-calibration and susceptibility methods , 2016, NeuroImage.

[65]  Peter T Fox,et al.  Evaluation of MRI models in the measurement of CMRO2 and its relationship with CBF , 2008, Magnetic resonance in medicine.

[66]  Egill Rostrup,et al.  Determination of relative CMRO2 from CBF and BOLD changes: Significant increase of oxygen consumption rate during visual stimulation , 1999, Magnetic resonance in medicine.

[67]  J. J. Chen,et al.  Global Cerebral Oxidative Metabolism during Hypercapnia and Hypocapnia in Humans: Implications for BOLD fMRI , 2010, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[68]  J A Frank,et al.  Perfusion imaging with compensation for asymmetric magnetization transfer effects , 1996, Magnetic resonance in medicine.

[69]  D. Alsop,et al.  Continuous flow‐driven inversion for arterial spin labeling using pulsed radio frequency and gradient fields , 2008, Magnetic resonance in medicine.

[70]  J. Mayhew,et al.  Concurrent fMRI and optical measures for the investigation of the hemodynamic response function , 2005, Magnetic resonance in medicine.

[71]  Gary F. Egan,et al.  Regional reproducibility of calibrated BOLD functional MRI: Implications for the study of cognition and plasticity , 2014, NeuroImage.

[72]  Toralf Mildner,et al.  Quantifying the intra‐ and extravascular contributions to spin‐echo fMRI at 3 T , 2004, Magnetic resonance in medicine.

[73]  Target‐specific superparamagnetic MR contrast agents , 1991, Magnetic resonance in medicine.

[74]  Timothy Q. Duong,et al.  Ultra-high spatial resolution basal and evoked cerebral blood flow MRI of the rat brain , 2015, Brain Research.

[75]  Richard B. Buxton,et al.  A theoretical framework for estimating cerebral oxygen metabolism changes using the calibrated-BOLD method: Modeling the effects of blood volume distribution, hematocrit, oxygen extraction fraction, and tissue signal properties on the BOLD signal , 2011, NeuroImage.

[76]  Susan T. Francis,et al.  Calibrated BOLD using direct measurement of changes in venous oxygenation , 2012, NeuroImage.

[77]  David C. Jangraw,et al.  Ultra-high resolution blood volume fMRI and BOLD fMRI in humans at 9.4 T: Capabilities and challenges , 2018, NeuroImage.

[78]  P. Bandettini,et al.  QUIPSS II with thin‐slice TI1 periodic saturation: A method for improving accuracy of quantitative perfusion imaging using pulsed arterial spin labeling , 1999, Magnetic resonance in medicine.

[79]  Peter T Fox,et al.  Nonlinear coupling between cerebral blood flow, oxygen consumption, and ATP production in human visual cortex , 2010, Proceedings of the National Academy of Sciences.

[80]  Tao Jin,et al.  Change of the cerebrospinal fluid volume during brain activation investigated by T1ρ-weighted fMRI , 2010, NeuroImage.

[81]  R G Shulman,et al.  In vivo nuclear magnetic resonance spectroscopy studies of the relationship between the glutamate-glutamine neurotransmitter cycle and functional neuroenergetics. , 1999, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[82]  P Jezzard,et al.  Functional changes in CSF volume estimated using measurement of water T2 relaxation , 2009, Magnetic resonance in medicine.

[83]  S. Ogawa,et al.  BOLD Based Functional MRI at 4 Tesla Includes a Capillary Bed Contribution: Echo‐Planar Imaging Correlates with Previous Optical Imaging Using Intrinsic Signals , 1995, Magnetic resonance in medicine.

[84]  Robert Turner,et al.  Investigation of the neurovascular coupling in positive and negative BOLD responses in human brain at 7T , 2014, NeuroImage.

[85]  Ying Zheng,et al.  Theory and generalization of monte carlo models of the BOLD signal source , 2008, Magnetic resonance in medicine.

[86]  M. Reivich,et al.  THE [14C]DEOXYGLUCOSE METHOD FOR THE MEASUREMENT OF LOCAL CEREBRAL GLUCOSE UTILIZATION: THEORY, PROCEDURE, AND NORMAL VALUES IN THE CONSCIOUS AND ANESTHETIZED ALBINO RAT 1 , 1977, Journal of neurochemistry.

[87]  Fahmeed Hyder,et al.  Quantitative fMRI and oxidative neuroenergetics , 2012, NeuroImage.

[88]  M. Raichle,et al.  Searching for a baseline: Functional imaging and the resting human brain , 2001, Nature Reviews Neuroscience.

[89]  Markus Barth,et al.  A cortical vascular model for examining the specificity of the laminar BOLD signal , 2016, NeuroImage.

[90]  J. Mandeville,et al.  Vascular filters of functional MRI: Spatial localization using BOLD and CBV contrast , 1999, Magnetic resonance in medicine.

[91]  A. Koretsky,et al.  Deciphering laminar-specific neural inputs with line-scanning fMRI , 2013, Nature Methods.

[92]  Denis Schluppeck,et al.  Exploring structure and function of sensory cortex with 7T MRI , 2018, NeuroImage.

[93]  W. Moses Fundamental Limits of Spatial Resolution in PET. , 2011, Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment.

[94]  Richard G. Wise,et al.  Measurement of OEF and absolute CMRO2: MRI-based methods using interleaved and combined hypercapnia and hyperoxia , 2013, NeuroImage.

[95]  T. L. Davis,et al.  Calibrated functional MRI: mapping the dynamics of oxidative metabolism. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[96]  Ping Wang,et al.  Cortical layer-dependent BOLD and CBV responses measured by spin-echo and gradient-echo fMRI: Insights into hemodynamic regulation , 2006, NeuroImage.

[97]  L. Sokoloff Mapping Local Cerebral Functional Activity by Measurement of Local Cerebral Glucose Utilization with the [14C] Deoxyglucose Method , 1981 .

[98]  Essa Yacoub,et al.  High resolution data analysis strategies for mesoscale human functional MRI at 7 and 9.4 T , 2018, NeuroImage.

[99]  Bojana Stefanovic,et al.  Venous refocusing for volume estimation: VERVE functional magnetic resonance imaging , 2005, Magnetic resonance in medicine.

[100]  L. Boorman,et al.  Early and Late Stimulus-Evoked Cortical Hemodynamic Responses Provide Insight into the Neurogenic Nature of Neurovascular Coupling , 2012, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[101]  Essa Yacoub,et al.  Variable flip angle 3D‐GRASE for high resolution fMRI at 7 tesla , 2016, Magnetic resonance in medicine.

[102]  Claudine Joëlle Gauthier,et al.  Cortical lamina-dependent blood volume changes in human brain at 7T , 2015, NeuroImage.

[103]  M. Reivich,et al.  Mapping of functional neural pathways by autoradiographic survey of local metabolic rate with (14C)deoxyglucose. , 1975, Science.

[104]  Daniel P. Bulte,et al.  MRI measurement of oxygen extraction fraction, mean vessel size and cerebral blood volume using serial hyperoxia and hypercapnia , 2014, NeuroImage.

[105]  Nikos K. Logothetis,et al.  fMRI at High Spatial Resolution: Implications for BOLD-Models , 2016, Front. Comput. Neurosci..

[106]  D. Johnston,et al.  Negative Blood Oxygen Level Dependence in the Rat:A Model for Investigating the Role of Suppression in Neurovascular Coupling , 2010, The Journal of Neuroscience.

[107]  R. Buxton,et al.  Implementation of quantitative perfusion imaging techniques for functional brain mapping using pulsed arterial spin labeling , 1997, NMR in biomedicine.

[108]  Richard B. Buxton,et al.  Understanding the dynamic relationship between cerebral blood flow and the BOLD signal: Implications for quantitative functional MRI , 2015, NeuroImage.

[109]  Fahmeed Hyder,et al.  Cortical energy demands of signaling and nonsignaling components in brain are conserved across mammalian species and activity levels , 2013, Proceedings of the National Academy of Sciences.

[110]  Thomas T. Liu,et al.  Coupling of cerebral blood flow and oxygen consumption during physiological activation and deactivation measured with fMRI , 2004, NeuroImage.

[111]  Peter C M van Zijl,et al.  Experimental measurement of extravascular parenchymal BOLD effects and tissue oxygen extraction fractions using multi‐echo VASO fMRI at 1.5 and 3.0 T , 2005, Magnetic resonance in medicine.

[112]  Seong-Gi Kim,et al.  Layer-dependent BOLD and CBV-weighted fMRI responses in the rat olfactory bulb , 2014, NeuroImage.

[113]  Mikko Sams,et al.  Functional MRI of the vocalization-processing network in the macaque brain , 2015, Front. Neurosci..

[114]  Peter C M van Zijl,et al.  Theoretical and experimental investigation of the VASO contrast mechanism , 2006, Magnetic resonance in medicine.

[115]  Nicholas P. Blockley,et al.  Sources of systematic error in calibrated BOLD based mapping of baseline oxygen extraction fraction , 2015, NeuroImage.

[116]  B. A. Conway,et al.  The effects of laforin, malin, Stbd1, and Ptg deficiencies on heart glycogen levels in Pompe disease mouse models , 2015 .

[117]  C S Patlak,et al.  Cerebral blood volume measurements by T  *2 ‐weighted MRI and contrast infusion , 2003, Magnetic resonance in medicine.

[118]  M. Reivich,et al.  Metabolic mapping of the primary visual system of the monkey by means of the autoradiographic [14C]deoxyglucose technique. , 1976, Proceedings of the National Academy of Sciences of the United States of America.

[119]  John C Gore,et al.  Measurement of T1 of human arterial and venous blood at 7T. , 2013, Magnetic resonance imaging.

[120]  E. Hoffman,et al.  Tomographic measurement of local cerebral glucose metabolic rate in humans with (F‐18)2‐fluoro‐2‐deoxy‐D‐glucose: Validation of method , 1979, Annals of neurology.

[121]  Josef Pfeuffer,et al.  Comparison of 3T and 7T ASL techniques for concurrent functional perfusion and BOLD studies , 2017, NeuroImage.

[122]  Peter C M van Zijl,et al.  Abnormal Grey Matter Arteriolar Cerebral Blood Volume in Schizophrenia Measured With 3D Inflow-Based Vascular-Space-Occupancy MRI at 7T , 2016, Schizophrenia bulletin.

[123]  F. O'connor Energy Budget , 1971, Nature.

[124]  R. Pazdur,et al.  FDA report: Ferumoxytol for intravenous iron therapy in adult patients with chronic kidney disease , 2010, American journal of hematology.

[125]  K. Uğurbil,et al.  A mathematical model of compartmentalized neurotransmitter metabolism in the human brain. , 2001, American journal of physiology. Endocrinology and metabolism.

[126]  Adam G. Thomas,et al.  Fast dynamic measurement of functional T1 and grey matter thickness changes during brain activation at 7T , 2017 .

[127]  L. Lampe,et al.  Cortical laminar resting-state fluctuations scale with hypercapnic response , 2016 .

[128]  R G Shulman,et al.  Cerebral energetics and the glycogen shunt: Neurochemical basis of functional imaging , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[129]  Yi Wang,et al.  Simultaneous multi-slice Turbo-FLASH imaging with CAIPIRINHA for whole brain distortion-free pseudo-continuous arterial spin labeling at 3 and 7T , 2015, NeuroImage.

[130]  K. Uğurbil,et al.  High‐resolution, spin‐echo BOLD, and CBF fMRI at 4 and 7 T , 2002, Magnetic resonance in medicine.

[131]  Jullie W Pan,et al.  Measurement of the Tricarboxylic Acid Cycle Rate in Human Grey and White Matter in Vivo by 1H-[13C] Magnetic Resonance Spectroscopy at 4.1T , 1999, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[132]  Anand Rangarajan,et al.  Oxidative Glucose Metabolism in Rat Brain during Single Forepaw Stimulation: A Spatially Localized 1H[13C] Nuclear Magnetic Resonance Study , 1997, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[133]  Lawrence L. Wald,et al.  Three dimensional echo-planar imaging at 7 Tesla , 2010, NeuroImage.

[134]  G. Bruce Pike,et al.  MRI measurement of the BOLD-specific flow–volume relationship during hypercapnia and hypocapnia in humans , 2010, NeuroImage.

[135]  K. Uğurbil,et al.  The Spatial Dependence of the Poststimulus Undershoot as Revealed by High-Resolution BOLD- and CBV-Weighted fMRI , 2005, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[136]  R. Buxton Quantifying CBF with arterial spin labeling , 2005, Journal of magnetic resonance imaging : JMRI.

[137]  K. Uğurbil,et al.  Layer-Specific fMRI Reflects Different Neuronal Computations at Different Depths in Human V1 , 2012, PloS one.

[138]  Peiying Liu,et al.  Age-related differences in memory-encoding fMRI responses after accounting for decline in vascular reactivity , 2013, NeuroImage.

[139]  Harald E. Möller,et al.  Increasing specificity in functional magnetic resonance imaging by estimation of vessel size based on changes in blood oxygenation , 2008, NeuroImage.

[140]  Roland Bammer,et al.  High‐resolution cerebral blood volume imaging in humans using the blood pool contrast agent ferumoxytol , 2013, Magnetic resonance in medicine.

[141]  P. Bandettini,et al.  Directional connectivity measured with layer-dependent resting-state blood volume fMRI in humans , 2017 .

[142]  David L. Thomas,et al.  Measuring Cerebral Blood Flow Using Magnetic Resonance Imaging Techniques , 1999, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[143]  Seong-Gi Kim,et al.  Quantitative MRI of Cerebral Arterial Blood Volume , 2011, The open neuroimaging journal.

[144]  Laurentius Huber,et al.  Which fMRI contrast is most specific for high resolution layer-dependent fMRI? Comparison study of GE-BOLD, SE-BOLD, T2-prep BOLD and blood volume fMRI , 2017 .

[145]  Jyh-Horng Chen,et al.  Effects of CBV, CBF, and blood‐brain barrier permeability on accuracy of PASL and VASO measurement , 2010, Magnetic resonance in medicine.

[146]  G. Glover,et al.  Assessment of cerebral oxidative metabolism with breath holding and fMRI , 1999, Magnetic resonance in medicine.

[147]  A. Dale,et al.  Cortical depth-specific microvascular dilation underlies laminar differences in blood oxygenation level-dependent functional MRI signal , 2010, Proceedings of the National Academy of Sciences.

[148]  Anna Devor,et al.  Quantifying the Microvascular Origin of BOLD-fMRI from First Principles with Two-Photon Microscopy and an Oxygen-Sensitive Nanoprobe , 2015, The Journal of Neuroscience.

[149]  Robert Turner,et al.  How Much Cortex Can a Vein Drain? Downstream Dilution of Activation-Related Cerebral Blood Oxygenation Changes , 2002, NeuroImage.

[150]  R T Constable,et al.  VASO‐based calculations of CBV change: Accounting for the dynamic CSF volume , 2008, Magnetic resonance in medicine.

[151]  F. D. Lange,et al.  Selective Activation of the Deep Layers of the Human Primary Visual Cortex by Top-Down Feedback , 2016, Current Biology.

[152]  J. Greenberg,et al.  Single vibrissal cortical column in SI cortex of rat and its alterations in neonatal and adult vibrissa-deafferented animals: a quantitative 2DG study. , 1988, Journal of neurophysiology.

[153]  R. U. Margolis,et al.  Composition and biogenesis of complex carbohydrates of ox adrenal chromaffin granules , 1977, Neuroscience.

[154]  L. Sokoloff,et al.  Localization of Functional Activity in the Central Nervous System by Measurement of Glucose Utilization with Radioactive Deoxyglucose , 1981, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[155]  Essa Yacoub,et al.  Sub-millimeter T2 weighted fMRI at 7 T: comparison of 3D-GRASE and 2D SE-EPI , 2015, Front. Neurosci..

[156]  P. Kara,et al.  Neural correlates of single vessel hemodynamic responses in vivo , 2016, Nature.

[157]  Bharat B. Biswal,et al.  Detection and scaling of task-induced fMRI-BOLD response using resting state fluctuations , 2008, NeuroImage.

[158]  Harald E. Möller,et al.  Functional cerebral blood volume mapping with simultaneous multi-slice acquisition , 2016, NeuroImage.

[159]  G. Crelier,et al.  Investigation of BOLD signal dependence on cerebral blood flow and oxygen consumption: The deoxyhemoglobin dilution model , 1999, Magnetic resonance in medicine.

[160]  Natalia Petridou,et al.  Laminar imaging of positive and negative BOLD in human visual cortex at 7T , 2018, NeuroImage.

[161]  Trong-Kha Truong,et al.  Cortical depth dependence and implications on the neuronal specificity of the functional apparent diffusion coefficient contrast , 2009, NeuroImage.

[162]  Richard B. Buxton,et al.  A Novel Method of Combining Blood Oxygenation and Blood Flow Sensitive Magnetic Resonance Imaging Techniques to Measure the Cerebral Blood Flow and Oxygen Metabolism Responses to an Unknown Neural Stimulus , 2013, PLoS ONE.

[163]  Joseph A. Fisher,et al.  Measuring venous blood volume changes during activation using hyperoxia , 2012, NeuroImage.

[164]  F. Hyder,et al.  Neurovascular and Neurometabolic Couplings in Dynamic Calibrated fMRI: Transient Oxidative Neuroenergetics for Block-Design and Event-Related Paradigms , 2010, Front. Neuroenerg..

[165]  Eric Courchesne,et al.  Patches of disorganization in the neocortex of children with autism. , 2014, The New England journal of medicine.

[166]  S. Posse,et al.  Analytical model of susceptibility‐induced MR signal dephasing: Effect of diffusion in a microvascular network , 1999, Magnetic resonance in medicine.

[167]  Andrew G. Webb,et al.  Feasibility of pseudocontinuous arterial spin labeling at 7 T with whole-brain coverage , 2011, Magnetic Resonance Materials in Physics, Biology and Medicine.

[168]  G. Zaharchuk,et al.  Recommended implementation of arterial spin-labeled perfusion MRI for clinical applications: A consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia. , 2015, Magnetic resonance in medicine.

[169]  R. Buxton,et al.  Variability of the coupling of blood flow and oxygen metabolism responses in the brain: a problem for interpreting BOLD studies but potentially a new window on the underlying neural activity , 2014, Front. Neurosci..

[170]  Shoji Ito,et al.  Precise control of end‐tidal carbon dioxide and oxygen improves BOLD and ASL cerebrovascular reactivity measures , 2010, Magnetic resonance in medicine.

[171]  Dimo Ivanov,et al.  Impact of acquisition and analysis strategies on cortical depth-dependent fMRI , 2017, NeuroImage.

[172]  Richard B. Buxton,et al.  A general analysis of calibrated BOLD methodology for measuring CMRO2 responses: Comparison of a new approach with existing methods , 2012, NeuroImage.

[173]  Joseph B. Mandeville,et al.  IRON fMRI measurements of CBV and implications for BOLD signal , 2012, NeuroImage.

[174]  Robert Turner,et al.  Simultaneous acquisition of cerebral blood volume‐, blood flow‐, and blood oxygenation‐weighted MRI signals at ultra‐high magnetic field , 2015, Magnetic resonance in medicine.

[175]  Geoffrey L. Chupp,et al.  Pathways Activated during Human Asthma Exacerbation as Revealed by Gene Expression Patterns in Blood , 2011, PloS one.

[176]  Seong-Gi Kim,et al.  Arterial versus Total Blood Volume Changes during Neural Activity-Induced Cerebral Blood Flow Change: Implication for BOLD fMRI , 2007, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[177]  T. Takano,et al.  Astrocyte-mediated control of cerebral blood flow , 2006, Nature Neuroscience.

[178]  G. Bruce Pike,et al.  Quantitative functional MRI: Concepts, issues and future challenges , 2012, NeuroImage.

[179]  R. C. Collins Use of cortical circuits during focal penicillin seizures: An autoradiographic study with [14C]deoxyglucose , 1978, Brain Research.

[180]  A. Shmuel,et al.  Perfusion‐based high‐resolution functional imaging in the human brain at 7 Tesla , 2002, Magnetic resonance in medicine.

[181]  Claudine Joëlle Gauthier,et al.  Magnetic resonance imaging of resting OEF and CMRO2 using a generalized calibration model for hypercapnia and hyperoxia , 2012, NeuroImage.

[182]  Anders M. Dale,et al.  Depth-resolved optical imaging and microscopy of vascular compartment dynamics during somatosensory stimulation , 2007, NeuroImage.

[183]  Kamil Ugurbil,et al.  An integrative model for neuronal activity-induced signal changes for gradient and spin echo functional imaging , 2009, NeuroImage.

[184]  Ravi S. Menon,et al.  Functional brain mapping by blood oxygenation level-dependent contrast magnetic resonance imaging. A comparison of signal characteristics with a biophysical model. , 1993, Biophysical journal.

[185]  X. Zhang,et al.  In vivo blood T1 measurements at 1.5 T, 3 T, and 7 T , 2013, Magnetic resonance in medicine.

[186]  Wietske van der Zwaag,et al.  Ultra-high field MRI: Advancing systems neuroscience towards mesoscopic human brain function , 2017, NeuroImage.

[187]  Robert G. Shulman,et al.  Brain Energetics and Neuronal Activity: Applications to fMRI and Medicine , 2005 .

[188]  Ying Cheng,et al.  Three-dimensional acquisition of cerebral blood volume and flow responses during functional stimulation in a single scan , 2014, NeuroImage.

[189]  Klaus Scheffler,et al.  Quantitative and functional pulsed arterial spin labeling in the human brain at 9.4 t , 2016, Magnetic resonance in medicine.

[190]  Peter Jezzard,et al.  Cerebral Perfusion Response to Hyperoxia , 2007, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[191]  D. Kleinfeld,et al.  Fluctuating and sensory-induced vasodynamics in rodent cortex extend arteriole capacity , 2011, Proceedings of the National Academy of Sciences.

[192]  Stefan K. Piechnik,et al.  Sources of systematic bias in hypercapnia-calibrated functional MRI estimation of oxygen metabolism , 2007, NeuroImage.

[193]  R. Shulman,et al.  NMR Determination of the TCA Cycle Rate and α-Ketoglutarate/Glutamate Exchange Rate in Rat Brain , 1992 .

[194]  Pascal Spincemaille,et al.  Flow compensated quantitative susceptibility mapping for venous oxygenation imaging , 2014, Magnetic resonance in medicine.

[195]  Anthony G. Hudetz,et al.  Functional and Topological Conditions for Explosive Synchronization Develop in Human Brain Networks with the Onset of Anesthetic-Induced Unconsciousness , 2016, Front. Comput. Neurosci..

[196]  J. Duyn,et al.  Functional MRI impulse response for BOLD and CBV contrast in rat somatosensory cortex , 2007, Magnetic resonance in medicine.

[197]  James Duffin,et al.  Prospective targeting and control of end‐tidal CO2 and O2 concentrations , 2007, The Journal of physiology.

[198]  Tao Jin,et al.  Improved cortical-layer specificity of vascular space occupancy fMRI with slab inversion relative to spin-echo BOLD at 9.4 T , 2008, NeuroImage.

[199]  D. Attwell,et al.  The neural basis of functional brain imaging signals , 2002, Trends in Neurosciences.

[200]  Leonie Lampe,et al.  Lamina-dependent calibrated BOLD response in human primary motor cortex , 2016, NeuroImage.

[201]  B. Rosen,et al.  Regional sensitivity and coupling of BOLD and CBV changes during stimulation of rat brain , 2001, Magnetic resonance in medicine.

[202]  P. Bandettini,et al.  Effects of Thoracic Pressure Changes on MRI Signals in the Brain , 2015, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[203]  Himanshu Bhat,et al.  Quantitative oxygenation venography from MRI phase , 2014, Magnetic resonance in medicine.

[204]  H. Möller,et al.  A Modified EPI sequence for high‐resolution imaging at ultra‐short echo time , 2011, Magnetic resonance in medicine.

[205]  David J. Dubowitz,et al.  Calibrating the BOLD response without administering gases: Comparison of hypercapnia calibration with calibration using an asymmetric spin echo , 2015, NeuroImage.

[206]  Seong-Gi Kim,et al.  Relative changes of cerebral arterial and venous blood volumes during increased cerebral blood flow: Implications for BOLD fMRI , 2001, Magnetic resonance in medicine.

[207]  R. Buxton,et al.  A review of calibrated blood oxygenation level‐dependent (BOLD) methods for the measurement of task‐induced changes in brain oxygen metabolism , 2013, NMR in biomedicine.

[208]  N. Logothetis,et al.  High-Resolution fMRI Reveals Laminar Differences in Neurovascular Coupling between Positive and Negative BOLD Responses , 2012, Neuron.

[209]  J. R. Baker,et al.  The intravascular contribution to fmri signal change: monte carlo modeling and diffusion‐weighted studies in vivo , 1995, Magnetic resonance in medicine.

[210]  R Weissleder,et al.  Monocrystalline iron oxide nanocompounds (MION): Physicochemical properties , 1993, Magnetic resonance in medicine.

[211]  Hongxia Ren,et al.  CBF, BOLD, CBV, and CMRO2 fMRI signal temporal dynamics at 500‐msec resolution , 2008, Journal of magnetic resonance imaging : JMRI.

[212]  Robert Turner,et al.  Cerebral Blood Volume Changes during Brain Activation , 2012, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[213]  Manus J. Donahue,et al.  Noise concerns and post-processing procedures in cerebral blood flow (CBF) and cerebral blood volume (CBV) functional magnetic resonance imaging , 2017, NeuroImage.

[214]  G. Bruce Pike,et al.  Improved fMRI calibration: Precisely controlled hyperoxic versus hypercapnic stimuli , 2011, NeuroImage.

[215]  Tao Jin,et al.  Cortical layer-dependent dynamic blood oxygenation, cerebral blood flow and cerebral blood volume responses during visual stimulation , 2008, NeuroImage.

[216]  Ralph D Freeman,et al.  Separate Spatial Scales Determine Neural Activity-Dependent Changes in Tissue Oxygen within Central Visual Pathways , 2005, The Journal of Neuroscience.

[217]  Wen-Ming Luh,et al.  Pseudo‐continuous arterial spin labeling at 7 T for human brain: Estimation and correction for off‐resonance effects using a Prescan , 2013, Magnetic resonance in medicine.

[218]  B. Rosen,et al.  Functional mapping of the human visual cortex by magnetic resonance imaging. , 1991, Science.

[219]  Natalia Petridou,et al.  Systematic variation of population receptive field properties across cortical depth in human visual cortex , 2016, NeuroImage.

[220]  David G Norris,et al.  3D single‐shot VASO using a maxwell gradient compensated GRASE sequence , 2009, Magnetic resonance in medicine.

[221]  D. Kleinfeld,et al.  Stimulus-Induced Changes in Blood Flow and 2-Deoxyglucose Uptake Dissociate in Ipsilateral Somatosensory Cortex , 2008, The Journal of Neuroscience.

[222]  Robert Turner,et al.  Whole-brain mapping of venous vessel size in humans using the hypercapnia-induced BOLD effect , 2010, NeuroImage.

[223]  Seong-Gi Kim,et al.  Neural and hemodynamic responses elicited by forelimb- and photo-stimulation in channelrhodopsin-2 mice: insights into the hemodynamic point spread function. , 2014, Cerebral cortex.

[224]  R. Goebel,et al.  Mapping the Organization of Axis of Motion Selective Features in Human Area MT Using High-Field fMRI , 2011, PloS one.

[225]  Y. Cheng,et al.  Susceptibility mapping as a means to visualize veins and quantify oxygen saturation , 2010, Journal of magnetic resonance imaging : JMRI.