Michael Marxen, Ph.D., Dipl. Phys.

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1 Michael Marxen, Ph.D., Dipl. Phys. Group Leader Imaging Physics Research interests: Imaging techniques: Magnetic Resonance Imaing (MRI), Computed Tomography (CT), Magnetoencephalography (MEG), Electroencephalography (EEG) Functional MRI techniques: Blood Oxygen Level Dependent (BOLD) imaging, Arterial Spin Labeling (ASL), new approaches incl. real-time fmri feedback Transcranial brain stimulation (TMS) fmri data analysis Blood flow modeling Neurovascular coupling Image processing Current projects Collaborative Research Centre (CRC) 940 Volition and Cognitive Control Mechanisms, Modulators, Dysfunctions Project A07 Volitional control of brain activation patterns: Effects of neurofeedback on emotional reactivity Collaborative Research Centre (CRC) 940 Volition and Cognitive Control Mechanisms, Modulators, Dysfunctions Project Z02 Core Imaging Facitility (CIF) CV Publications Contact: Phone: +49 (0) Fax: +49 (0)

2 CV Michael Marxen Education: Vordiplom (B.Sc.), Universität Osnabrück, Department of Physics, Osnabrück, Germany Exchange Student at McMaster University, Hamilton, Canada Diplom (M.Sc.) Particle Image Velocimetry in Fluid Flows with Strong Velocity Gradients, Ruprecht-Karls-Universität, Heidelberg, Germany, Faculty of Physics and Astronomy, Supervisor: B. Jähne. Research conducted with P.E. Sullivan and M.R. Loewen at the Department of Mechanical and Industrial Engineering, Toronto, Canada Ph.D. Fractal Characteristics of Vascular Structure & Modeling of Blood Flow in Three Dimensions, University of Toronto, Department of Medical Biophysics, Supervisor: R. M. Henkelman Professional Experience: 1998 Research Associate, University of Toronto, Department of Mechanical and Industrial Engineering, Toronto, Canada. Software development for Particle Image Velocimetry Research Associate, Sunnybrook & Women s College Health Sciences Centre, Toronto, Canada. Development of micro computed tomography (microct) to quantify blood flow and vascular structure in the same organ Postdoctoral Fellow, Rotman Research Institute, Baycrest Centre for Geriatric Care (Toronto, Canada). Functional Magnetic Resonance Imaging and Magneto-encephalography of Somatosensory Cortex Evaluation of Parallel Magnetic Resonance (MR) Imaging based on Quantitative Brain Morphometry MRI Physicist and Technical Co-Director, Neuroimaging Centre (NIC), Section of Systems Neuroscience, Technische Universität Dresden. Since 2015 Group Leader Imaging Physics, Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden. Honors, Awards, Positions: 1994 Ontario-Baden-Württemberg Student Exchange Scholarship competitive selection for tuition free studies at a university in Ontario

3 Heart and Stroke Foundation of Canada Scholarship for research on imaging of micro-vascular structure Government of Ontario- Ontario Graduate Scholarship (for Science & Technology) 2007 University of Toronto - Edward Christie Stevens Fellowship ($5000) for research on combining fmri and MEG data to improve modeling of the fmri BOLD signal

4 Publications Michael Marxen Journal articles: 1) S. Ehrlich, D. Geisler, F. Ritschel, J. A. King, M. Seidel, I. Schober, M. Breier, S. Clas, J. Weiss, M. Marxen, M. N. Smolka, V. Roessner, N. Kroemer: Elevated cognitive control over reward processing in recovered female patients with anorexia nervosa. Accepted by J. Psychiatry Neurosci ) J. A. King, D. Geisler, F. Ritschel, I. Schober, M. Seidel, B. Roschinski, L. Soltwedel, J. Zwipp, G. Pfuhl, M. Marxen, V. Rössner, S. Ehrlich: Global cortical thinning in acute anorexia nervosa normalizes following long-term weight restoration. Submitted to Biol. Psychiatry 3) M. Pilhatsch, N. C. Vetter, T. Hübner, S. Ripke, K. U. Müller, M. Marxen, S. Rodehacke, E. Mennigen, D. Schmidt, N. B. Kroemer, M. N. Smolka: Amygdalafunction perturbations in healthy mid-adolescents with familial liability for depression. J. Am. Acad. Child Adolesc. Psychiatry 2014; 53(5): ) M. Muehlhan, M. Marxen, J. Landsiedel, H. Malberg, S. Zaunseder: The effect of body posture on cognitive performance: a question of sleep quality. Front. Hum. Neurosci. 2014; 8:171; doi: /fnhum ) G. Gan, A. Guevara, M. Marxen, M. Neumann, E. Jünger, A. Kobiella, E. Mennigen, M. Pilhatsch, D. Schwarz, U. S. Zimmermann, M. N. Smolka: Alcohol-induced impairment of inhibitory control is linked to attenuated brain responses in right frontotemporal cortex. Biol. Psychiatry 2014; 76(9): ) M. Marxen, G. Gan, D. Schwarz, E. Mennigen, M. Pilhatsch, U. S. Zimmermann, M. Guenther, M. N. Smolka: Acute effects of alcohol on brain perfusion monitored with arterial spin labeling magnetic resonance imaging in young adults. J. Cereb. Blood Flow Metab. 2014; 34(3): ) M. Marxen, R. J. Cassidy, T. L. Dawson, and S. J. Graham: Transient and sustained components of the sensorimotor BOLD response in fmri. Magn. Reson. Imaging 2012; 30(6): ) M. Pilhatsch, M. Marxen, C. Winter, M. N. Smolka, M. Bauer: Hypothyroidism and mood disorders: integrating novel insights from brain imaging techniques. Thyroid Res. 2011; 4(Suppl. 1):S3 9) M. Marxen, J. Marmurek, S. N. Baker, S. J. Graham: Correcting magnetic resonance k-space data for in-plane motion using an optical position tracking system. Med. Phys. 2009;36(12): ) M. Marxen, J. G. Sled, and R. M. Henkelman: Volume ordering for analysis and modeling of vascular systems. Ann. Biomed. Eng. 2009;37(3): ) M. Marxen, J. G. Sled, L. X. Yu, C. Paget, and R. M. Henkelman: Comparing microsphere deposition and flow modeling in 3D vascular trees. Am. J. Physiol. Heart Circ. 2006;291:H2136-H2141.

5 12) M. Marxen, C. Paget, L. X. Yu, and R. M. Henkelman: Estimating perfusion using microct to locate microspheres. Phys. Med. Biol. 2006; 51: N9-N16. 13) J. G. Sled, M. Marxen, and R. M. Henkelman: Analysis of microvasculature in whole kidney specimens using micro-ct. Proc. SPIE Developments in X-Ray Tomography VI 2004; 5535: 53-64, doi: / ) M. Marxen, M. M. Thornton, C. B. Chiarot, G. Klement, J. Koprivnikar, J. G. Sled, and R. M. Henkelman: MicroCT scanner performance and considerations for vascular specimen imaging. Med. Phys. 2004; 31: ) M. Marxen and R. M. Henkelman: Branching tree model with fractal vascular resistance explains fractal perfusion heterogeneity. Am. J. Physiol. Heart Circ. Physiol. 2003; 284: ) M. Marxen, P. E. Sullivan, M. R. Loewen, and B. Jähne: Comparison of Gaussian particle center estimators and the achievable measurement density for particle tracking velocimetry. Exp. Fluids 2000; 29(2):

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