![Michael Germuska](https://profiles-cardiff.imgix.net/attachments/2985?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Mr Michael Germuska
Senior Lecturer
Overview
Research summary
My research aims to develop non-invasive methods to image brain physiology with MRI. The focus of my current work is to develop quantitative fMRI methods for measurement of the brain's oxygen consumption as an indicator of tissue function. The ability to assess brain tissue function non-invasively should provide a valuable tool in the study of disease and during drug development.
Publication
2023
- Chandler, H. L. et al. 2023. Reduced brain oxygen metabolism in patients with multiple sclerosis: Evidence from dual-calibrated functional MRI. Journal of Cerebral Blood Flow and Metabolism 43(1), pp. 115-128.
2022
- Chiarelli, A. M. et al. 2022. A flow-diffusion model of oxygen transport for quantitative mapping of cerebral metabolic rate of oxygen (CMRO2) with single gas calibrated fMRI. Journal of Cerebral Blood Flow and Metabolism 42(7), pp. 1192-1209. (10.1177/0271678X221077332)
2021
- Steventon, J. et al. 2021. Changes in white matter microstructure and MRI-derived cerebral blood flow after one-week of exercise training. Scientific Reports 11, article number: 22061. (10.1038/s41598-021-01630-7)
- Chandler, H. L. et al. 2021. Using dual-calibrated functional MRI to map brain oxygen supply and consumption in multiple sclerosis. [Online]. bioRxiv. Available at: https://doi.org/10.1101/2021.01.07.425819
2020
- Champagne, A. A., Coverdale, N. S., Germuska, M., Bhogal, A. A. and Cook, D. J. 2020. Changes in volumetric and metabolic parameters relate to differences in exposure to sub-concussive head impacts. Journal of Cerebral Blood Flow and Metabolism 40(7), pp. 1453-1467. (10.1177/0271678X19862861)
- Germuska, M., Chandler, H., Okell, T., Fasano, F., Tomassini, V., Murphy, K. and Wise, R. 2020. A frequency-domain machine learning method for dual-calibrated fMRI mapping of oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen consumption (CMRO2). Frontiers in Artificial Intelligence 3, article number: 12. (10.3389/frai.2020.00012)
2019
- Germuska, M. and Wise, R. G. 2019. Calibrated fMRI for mapping absolute CMRO2: practicalities and prospects. NeuroImage 187, pp. 145-153. (10.1016/j.neuroimage.2018.03.068)
- Germuska, M. et al. 2019. Dual-calibrated fMRI measurement of absolute cerebral metabolic rate of oxygen consumption and effective oxygen diffusivity. NeuroImage 184, pp. 717-728. (10.1016/j.neuroimage.2018.09.035)
2018
- Merola, A., Germuska, M. A., Murphy, K. and Wise, R. G. 2018. Assessing the repeatability of absolute CMRO 2 , OEF and haemodynamic measurements from calibrated fMRI. NeuroImage 173, pp. 113-126. (10.1016/j.neuroimage.2018.02.020)
2017
- Merola, A. et al. 2017. Mapping the pharmacological modulation of brain oxygen metabolism: the effects of caffeine on absolute CMRO2 measured using dual calibrated fMRI. NeuroImage 155, pp. 331-343. (10.1016/j.neuroimage.2017.03.028)
- Winfield, J. M. et al. 2017. Extracranial soft-tissue Tumors: repeatability of apparent diffusion coefficient estimates from diffusion-weighted MR imaging. Radiology 284(1), pp. 88. (10.1148/radiol.2017161965)
2016
- Germuska, M. et al. 2016. A forward modelling approach for the estimation of oxygen extraction fraction by calibrated fMRI. NeuroImage 139, pp. 313-323. (10.1016/j.neuroimage.2016.06.004)
- Merola, A. et al. 2016. Measurement of oxygen extraction fraction (OEF): An optimized BOLD signal model for use with hypercapnic and hyperoxic calibration. NeuroImage 129, pp. 159-174. (10.1016/j.neuroimage.2016.01.021)
2015
- Suri, S. et al. 2015. Reduced cerebrovascular reactivity in young adults carrying the APOE ε4 allele. Alzheimer's and Dementia 11(6), pp. 648-657., article number: e1. (10.1016/j.jalz.2014.05.1755)
2014
- Germuska, M. A. and Bulte, D. P. 2014. MRI measurement of oxygen extraction fraction, mean vessel size and cerebral blood volume using serial hyperoxia and hypercapnia. NeuroImage 92, pp. 132-142. (10.1016/j.neuroimage.2014.02.002)
2013
- Germuska, M. A., Meakin, J. A. and Bulte, D. P. 2013. The influence of noise on BOLD-mediated vessel size imaging analysis methods. Journal of Cerebral Blood Flow and Metabolism 33(12), pp. 1857-1863. (10.1038/jcbfm.2013.141)
- Hare, H. V., Germuska, M. A., Kelly, M. E. and Bulte, D. P. 2013. Comparison of CO2 in air versus carbogen for the measurement of cerebrovascular reactivity with magnetic resonance imaging. Journal of Cerebral Blood Flow and Metabolism 33(11), pp. 1799-1805. (10.1038/jcbfm.2013.131)
- Blockley, N. P., Griffeth, V. E. M., Germuska, M. A., Bulte, D. P. and Buxton, R. B. 2013. An analysis of the use of hyperoxia for measuring venous cerebral blood volume: Comparison of the existing method with a new analysis approach. NeuroImage 72, pp. 33-40. (10.1016/j.neuroimage.2013.01.039)
2012
- Germuska, M. A., Tunariu, N., Leach, M. O., Xu, J. and Payne, G. S. 2012. An evaluation of motion compensation strategies and repeatability for abdominal 1H MR spectroscopy measurements in volunteer studies and clinical trials. Nmr in Biomedicine 25(6), pp. 859-865. (10.1002/nbm.1802)
- Bulte, D. P. et al. 2012. Quantitative measurement of cerebral physiology using respiratory-calibrated MRI. NeuroImage 60(1), pp. 582-591. (10.1016/j.neuroimage.2011.12.017)
2011
- Yap, T. A. et al. 2011. Phase I trial of a selective c-MET inhibitor ARQ 197 incorporating proof of mechanism pharmacodynamic studies. Journal of Clinical Oncology 29(10), pp. 1271-1279. (10.1200/JCO.2010.31.0367)
2009
- Riches, S. F. et al. 2009. MRI in the detection of prostate cancer: combined apparent diffusion coefficient, metabolite ratio, and vascular parameters. American Journal of Roentgenology 193(6), pp. 1583-1591.
- Yap, T. A. et al. 2009. Pharmacokinetic and pharmacodynamic Phase I trial of ARQ 197 incorporating dynamic contrast-enhanced (DCE) and diffusion weighted (DW) magnetic resonance imaging (MRI) studies investigating the antiangiogenic and antitumor activity of selective c-Met inhibition. EJC Supplements 7(2), pp. 121-121.
- Yap, T. A. et al. 2009. Final results of a pharmacokinetic (PK) and pharmacodynamic (PD) phase I trial of ARQ 197 incorporating dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) studies investigating the antiangiogenic activity of selective c-Met inhibition. Journal of Clinical Oncology 27(15), article number: abstr 3523.
2008
- Spratlin, J. et al. 2008. Analyses of pharmacodynamic (PD) assessments collected during expanded cohorts (EC) of a phase I trial with OSI-930, a multi-targeted oral tyrosine kinase inhibitor (TKI). EJC Supplements 6(12), pp. 19-19. (10.1016/S1359-6349(08)71981-5)
2006
- Germuska, M. A., Saha, S., Fiala, J. and Barbas, H. 2006. Synaptic distinction of laminar-specific prefrontal-temporal pathways in primates. Cerebral Cortex 16(6), pp. 865-875. (10.1093/cercor/bhj030)
Erthyglau
- Chandler, H. L. et al. 2023. Reduced brain oxygen metabolism in patients with multiple sclerosis: Evidence from dual-calibrated functional MRI. Journal of Cerebral Blood Flow and Metabolism 43(1), pp. 115-128.
- Chiarelli, A. M. et al. 2022. A flow-diffusion model of oxygen transport for quantitative mapping of cerebral metabolic rate of oxygen (CMRO2) with single gas calibrated fMRI. Journal of Cerebral Blood Flow and Metabolism 42(7), pp. 1192-1209. (10.1177/0271678X221077332)
- Steventon, J. et al. 2021. Changes in white matter microstructure and MRI-derived cerebral blood flow after one-week of exercise training. Scientific Reports 11, article number: 22061. (10.1038/s41598-021-01630-7)
- Champagne, A. A., Coverdale, N. S., Germuska, M., Bhogal, A. A. and Cook, D. J. 2020. Changes in volumetric and metabolic parameters relate to differences in exposure to sub-concussive head impacts. Journal of Cerebral Blood Flow and Metabolism 40(7), pp. 1453-1467. (10.1177/0271678X19862861)
- Germuska, M., Chandler, H., Okell, T., Fasano, F., Tomassini, V., Murphy, K. and Wise, R. 2020. A frequency-domain machine learning method for dual-calibrated fMRI mapping of oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen consumption (CMRO2). Frontiers in Artificial Intelligence 3, article number: 12. (10.3389/frai.2020.00012)
- Germuska, M. and Wise, R. G. 2019. Calibrated fMRI for mapping absolute CMRO2: practicalities and prospects. NeuroImage 187, pp. 145-153. (10.1016/j.neuroimage.2018.03.068)
- Germuska, M. et al. 2019. Dual-calibrated fMRI measurement of absolute cerebral metabolic rate of oxygen consumption and effective oxygen diffusivity. NeuroImage 184, pp. 717-728. (10.1016/j.neuroimage.2018.09.035)
- Merola, A., Germuska, M. A., Murphy, K. and Wise, R. G. 2018. Assessing the repeatability of absolute CMRO 2 , OEF and haemodynamic measurements from calibrated fMRI. NeuroImage 173, pp. 113-126. (10.1016/j.neuroimage.2018.02.020)
- Merola, A. et al. 2017. Mapping the pharmacological modulation of brain oxygen metabolism: the effects of caffeine on absolute CMRO2 measured using dual calibrated fMRI. NeuroImage 155, pp. 331-343. (10.1016/j.neuroimage.2017.03.028)
- Winfield, J. M. et al. 2017. Extracranial soft-tissue Tumors: repeatability of apparent diffusion coefficient estimates from diffusion-weighted MR imaging. Radiology 284(1), pp. 88. (10.1148/radiol.2017161965)
- Germuska, M. et al. 2016. A forward modelling approach for the estimation of oxygen extraction fraction by calibrated fMRI. NeuroImage 139, pp. 313-323. (10.1016/j.neuroimage.2016.06.004)
- Merola, A. et al. 2016. Measurement of oxygen extraction fraction (OEF): An optimized BOLD signal model for use with hypercapnic and hyperoxic calibration. NeuroImage 129, pp. 159-174. (10.1016/j.neuroimage.2016.01.021)
- Suri, S. et al. 2015. Reduced cerebrovascular reactivity in young adults carrying the APOE ε4 allele. Alzheimer's and Dementia 11(6), pp. 648-657., article number: e1. (10.1016/j.jalz.2014.05.1755)
- Germuska, M. A. and Bulte, D. P. 2014. MRI measurement of oxygen extraction fraction, mean vessel size and cerebral blood volume using serial hyperoxia and hypercapnia. NeuroImage 92, pp. 132-142. (10.1016/j.neuroimage.2014.02.002)
- Germuska, M. A., Meakin, J. A. and Bulte, D. P. 2013. The influence of noise on BOLD-mediated vessel size imaging analysis methods. Journal of Cerebral Blood Flow and Metabolism 33(12), pp. 1857-1863. (10.1038/jcbfm.2013.141)
- Hare, H. V., Germuska, M. A., Kelly, M. E. and Bulte, D. P. 2013. Comparison of CO2 in air versus carbogen for the measurement of cerebrovascular reactivity with magnetic resonance imaging. Journal of Cerebral Blood Flow and Metabolism 33(11), pp. 1799-1805. (10.1038/jcbfm.2013.131)
- Blockley, N. P., Griffeth, V. E. M., Germuska, M. A., Bulte, D. P. and Buxton, R. B. 2013. An analysis of the use of hyperoxia for measuring venous cerebral blood volume: Comparison of the existing method with a new analysis approach. NeuroImage 72, pp. 33-40. (10.1016/j.neuroimage.2013.01.039)
- Germuska, M. A., Tunariu, N., Leach, M. O., Xu, J. and Payne, G. S. 2012. An evaluation of motion compensation strategies and repeatability for abdominal 1H MR spectroscopy measurements in volunteer studies and clinical trials. Nmr in Biomedicine 25(6), pp. 859-865. (10.1002/nbm.1802)
- Bulte, D. P. et al. 2012. Quantitative measurement of cerebral physiology using respiratory-calibrated MRI. NeuroImage 60(1), pp. 582-591. (10.1016/j.neuroimage.2011.12.017)
- Yap, T. A. et al. 2011. Phase I trial of a selective c-MET inhibitor ARQ 197 incorporating proof of mechanism pharmacodynamic studies. Journal of Clinical Oncology 29(10), pp. 1271-1279. (10.1200/JCO.2010.31.0367)
- Riches, S. F. et al. 2009. MRI in the detection of prostate cancer: combined apparent diffusion coefficient, metabolite ratio, and vascular parameters. American Journal of Roentgenology 193(6), pp. 1583-1591.
- Yap, T. A. et al. 2009. Pharmacokinetic and pharmacodynamic Phase I trial of ARQ 197 incorporating dynamic contrast-enhanced (DCE) and diffusion weighted (DW) magnetic resonance imaging (MRI) studies investigating the antiangiogenic and antitumor activity of selective c-Met inhibition. EJC Supplements 7(2), pp. 121-121.
- Yap, T. A. et al. 2009. Final results of a pharmacokinetic (PK) and pharmacodynamic (PD) phase I trial of ARQ 197 incorporating dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) studies investigating the antiangiogenic activity of selective c-Met inhibition. Journal of Clinical Oncology 27(15), article number: abstr 3523.
- Spratlin, J. et al. 2008. Analyses of pharmacodynamic (PD) assessments collected during expanded cohorts (EC) of a phase I trial with OSI-930, a multi-targeted oral tyrosine kinase inhibitor (TKI). EJC Supplements 6(12), pp. 19-19. (10.1016/S1359-6349(08)71981-5)
- Germuska, M. A., Saha, S., Fiala, J. and Barbas, H. 2006. Synaptic distinction of laminar-specific prefrontal-temporal pathways in primates. Cerebral Cortex 16(6), pp. 865-875. (10.1093/cercor/bhj030)
Gwefannau
- Chandler, H. L. et al. 2021. Using dual-calibrated functional MRI to map brain oxygen supply and consumption in multiple sclerosis. [Online]. bioRxiv. Available at: https://doi.org/10.1101/2021.01.07.425819
Biography
Undergraduate education
1997-2001: MEng. Electrical and Electronic Engineering, Bristol University, UK
Postgraduate education
Master's Degrees
2003-2005: M.S. Biomedical Engineering, Boston University, MA, USA
2006-2008: M.Sc. Medical Physics and Engineering, King's College London, UK
2006-2008: DipIPEM. Clinical Science Diploma (Medical Physics and Engineering)
Doctoral Degree
2010-2013: D.Phil. Wolfson College, Oxford University, UK. "Blood Oxygen Level Dependent Imaging of Cerebral Mesostructure"
Employment
2008-2010: MRI Clinical Trials Physicist, Royal Marsden Hospital, Surrey, UK
2002-2003: DSP Engineer, Alenia Marconi Systems, Chelmsford, UK