Validation of the hypercapnic calibrated fMRI method using DOT–fMRI fusion imaging

Calibrated functional magnetic resonance imaging (fMRI) is a widely used method to investigate brain function in terms of physiological quantities such as the cerebral metabolic rate of oxygen (CMRO2). The first and one of the most common methods of fMRI calibration is hypercapnic calibration. This is achieved via simultaneous measures of the blood-oxygenation-level dependent (BOLD) and the arterial spin labeling (ASL) signals during a functional task that evokes regional changes in CMRO2. A subsequent acquisition is then required during which the subject inhales carbon dioxide for short periods of time. A calibration constant, typically labeled M, is then estimated from the hypercapnic data and is subsequently used together with the BOLD-ASL recordings to compute evoked changes in CMRO2 during the functional task. The computation of M assumes a constant CMRO2 during the CO2 inhalation, an assumption that has been questioned since the origin of calibrated fMRI. In this study we used diffuse optical tomography (DOT) together with BOLD and ASL--an alternative calibration method that does not require any gas manipulation and therefore no constant CMRO2 assumption--to cross-validate the estimation of M obtained from a traditional hypercapnic calibration. We found a high correlation between the M values (R=0.87, p<0.01) estimated using these two approaches. The findings serve to validate the hypercapnic fMRI calibration technique and suggest that the inter-subject variability routinely obtained for M is reproducible with an alternative method and might therefore reflect inter-subject physiological variability.

[1]  Timothy Q. Duong,et al.  Effects of hypoxia, hyperoxia, and hypercapnia on baseline and stimulus-evoked BOLD, CBF, and CMRO2 in spontaneously breathing animals , 2005, NeuroImage.

[2]  Irene Tracey,et al.  Resting fluctuations in arterial carbon dioxide induce significant low frequency variations in BOLD signal , 2004, NeuroImage.

[3]  S. Ogawa,et al.  Biophysical and Physiological Origins of Blood Oxygenation Level-Dependent fMRI Signals , 2012, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[4]  S. Arridge,et al.  Photon migration in non-scattering tissue and the effects on image reconstruction. , 1999, Physics in medicine and biology.

[5]  G. Bruce Pike,et al.  The effect of global cerebral vasodilation on focal activation hemodynamics , 2006, NeuroImage.

[6]  D. Tank,et al.  Brain magnetic resonance imaging with contrast dependent on blood oxygenation. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

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

[8]  R B Banzett,et al.  Simple contrivance "clamps" end-tidal PCO(2) and PO(2) despite rapid changes in ventilation. , 2000, Journal of applied physiology.

[9]  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.

[10]  Sungho Tak,et al.  NIRS-SPM: statistical parametric mapping for near infrared spectroscopy , 2008, SPIE BiOS.

[11]  Claudine Joëlle Gauthier,et al.  Elimination of visually evoked BOLD responses during carbogen inhalation: Implications for calibrated MRI , 2011, NeuroImage.

[12]  Yihong Yang,et al.  Time-dependent correlation of cerebral blood flow with oxygen metabolism in activated human visual cortex as measured by fMRI , 2009, NeuroImage.

[13]  David A. Boas,et al.  Improved recovery of the hemodynamic response in diffuse optical imaging using short optode separations and state-space modeling , 2011, NeuroImage.

[14]  P. Matthews,et al.  Neuroimaging: Applications of fMRI in translational medicine and clinical practice , 2006, Nature Reviews Neuroscience.

[15]  N. Logothetis What we can do and what we cannot do with fMRI , 2008, Nature.

[16]  Richard D. Hoge,et al.  Calibrated fMRI , 2012, NeuroImage.

[17]  Sungho Tak,et al.  Quantification of CMRO2 without hypercapnia using simultaneous near-infrared spectroscopy and fMRI measurements , 2010, Physics in medicine and biology.

[18]  R. Buxton,et al.  Dynamics of blood flow and oxygenation changes during brain activation: The balloon model , 1998, Magnetic resonance in medicine.

[19]  Gary H. Glover,et al.  Changes of Cerebral Blood Flow, Oxygenation, and Oxidative Metabolism during Graded Motor Activation , 2002, NeuroImage.

[20]  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.

[21]  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.

[22]  Wolfgang Grodd,et al.  Parametric analysis of rate-dependent hemodynamic response functions of cortical and subcortical brain structures during auditorily cued finger tapping: a fMRI study , 2003, NeuroImage.

[23]  G. Pike,et al.  Indication of BOLD-Specific Venous Flow-Volume Changes from Precisely Controlled Hyperoxic vs. Hypercapnic Calibration , 2012, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[24]  S. Kety,et al.  THE EFFECTS OF ALTERED ARTERIAL TENSIONS OF CARBON DIOXIDE AND OXYGEN ON CEREBRAL BLOOD FLOW AND CEREBRAL OXYGEN CONSUMPTION OF NORMAL YOUNG MEN. , 1948, The Journal of clinical investigation.

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

[26]  Daniel Gallichan,et al.  Flow‐metabolism coupling in human visual, motor, and supplementary motor areas assessed by magnetic resonance imaging , 2007, Magnetic resonance in medicine.

[27]  David A. Boas,et al.  Quantification of the cortical contribution to the NIRS signal over the motor cortex using concurrent NIRS-fMRI measurements , 2012, NeuroImage.

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

[29]  Richard B. Buxton,et al.  Reproducibility of BOLD, perfusion, and CMRO2 measurements with calibrated-BOLD fMRI , 2007, NeuroImage.

[30]  David A Boas,et al.  Direct estimation of evoked hemoglobin changes by multimodality fusion imaging. , 2008, Journal of biomedical optics.

[31]  David A. Boas,et al.  Calibrating the BOLD signal during a motor task using an extended fusion model incorporating DOT, BOLD and ASL data , 2012, NeuroImage.

[32]  Anders M. Dale,et al.  Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.

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

[34]  Feng Xu,et al.  The Influence of Carbon Dioxide on Brain Activity and Metabolism in Conscious Humans , 2011, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

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

[36]  Joan Serra,et al.  Image segmentation , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

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

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