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David Meder



+45 3862 0633


Research Fellow

Research Interests

In my work, I use a combination of multi-modal data assessment and computational modeling to deepen our understanding of the human brain in health and disease. Using computational models of learning and decision-making to probe disease-induced changes in brain and behavior allows me to move from descriptive to mechanistic levels of understanding. Working with a multi-modal assessment approach I try to bridge between information about brain structure, brain function, autonomic nervous system function, all the way to symptom assessments to gain novel comprehensive insights into the dopaminergic and noradrenergic system in health and disease. The ultra-high field (7 tesla) MR scanner allows me to map the structural integrity of midbrain nuclei at highest resolution. This allows me to investigate the relationship between the individual spatial pattern of neurodegeneration in Parkinson’s disease and the patient’s clinical symptoms.
An important analysis tool for my work is our novel mapping approach which generalizes receptive field mapping from sensory neuroscience to cognitive domains, revealing topographic principles underlying cognitive processes in the brain. Using this technique, I have recently initiated a project to test novel theories about how the human brain encodes a diverse range of reward prediction errors and how Parkinson’s disease might affect this encoding in a specific way.

Curriculum Vitae



PhD, University of Copenhagen.


Diplom (MSc) in psychology, Friedrich-Schiller-University, Jena, Germany


2019 - Present

Research Fellow, DRCMR

2015 - 2019

Postdoctor Research Associate, DRCMR

2014 - 2015

Postdoctoral Research Associate, Decision and Action Laboratory, Dept. of Experimental Psychology, University of Oxford

2010 - 2014

PhD Student, DRCMR

2007 - 2010

Research Assistant, Unit for Cognitive Neuroscience, Institute of Psychology, University of Copenhagen

Full CV


Video Pitch: Presentation

Lohse, A., Løkkegaard, A., Siebner, H. R. & Meder, D. (2022) “Linking Impulsivity to Activity Levels in Pre-Supplementary Motor Area during Sequential Gambling.” bioRxiv.

Nilsson, S., Meder, D., Madsen, K. H., Toni, I., & Siebner, H. R. (2022) “Get to Grips with Motivation: Slipping and Gripping Movements Are Biased by Approach-Avoidance Context.” PsyArXiv.

Steinkamp, S., Chaker, I., Hubert, F., Meder, D., & Hulme, O. (2022) “Computational Parametric Mapping: A Method For Mapping Cognitive Models Onto Neuroimaging Data.” 2022 Conference on Cognitive Computational Neuroscience. San Francisco: Cognitive Computational Neuroscience.

Thorup, A. A. E., …, Meder, D., …, et al. (2022). “The Danish High-Risk and Resilience Study—VIA 15 – A Study Protocol for the Third Clinical Assessment of a Cohort of 522 Children Born to Parents Diagnosed With Schizophrenia or Bipolar Disorder and Population-Based Controls.” Frontiers in Psychiatry, 13.

Madelung, C. F., Meder, D., Fuglsang, S. A., Boer, V. O., Madsen, K. H., Petersen, E. T., Hejl, A., Løkkegaard, A., & Siebner, H.R. (2022) “The Locus Coeruleus Shows a Spatial Pattern of Structural Disintegration in Parkinson’s Disease” Movement Disorders, 37(3), 479-489.

Meder, D., Rabe, F., Morville, T., Madsen, K. H., Koudahl, M. T., Dolan, R. J., Siebner, H. R., & Hulme, O. J. (2021). ”Ergodicity-breaking reveals time optimal economic behavior in humans.PLOS Computational Biology, 17(9), e1009217.

Herz, D. M., Meder, D., Camilleri, J. A., Eickhoff, S. B., & Siebner, H. R. (2021). Brain Motor Network Changes in Parkinson’s Disease: Evidence from Meta-Analytic Modeling. Movement Disorders, 36(5), 1180-1190.

Haagensen, B.N., Herz, D.M., Meder, D., Madsen, K.H., Løkkegaard, A., Siebner, H.R. (2020) “Linking Brain Activity during Sequential Gambling to Impulse Control in Parkinson’s Disease” NeuroImage: Clinical 27: 102330.

Lohse, A., Meder, D., Nielsen, S., Lund, A.E., Herz, D.M., Løkkegaard, A., Siebner, H.R. (2020) ”Low-frequency transcranial stimulation of pre-supplementary motor area alleviates levodopa-induced dyskinesia in Parkinson’s disease: a randomised cross-over trial” Brain Communications, 2(2), fcaa147.

Siebner, H. R., Meder, D., & Herz, D. M. (2020). FMRI in Parkinson’s Disease. In S. Ulmer & O. Jansen (Eds.), FMRI: Basics and Clinical Applications (pp. 417–431). Springer International Publishing.

Betts, M.J., …, Meder, D., …, Hämmerer, D. (2019) “Locus coeruleus imaging as a biomarker for noradrenergic dysfunction in neurodegenerative diseases.” Brain, 142(9), 2258-2571.

Meder, D., Herz, D.M., Rowe, J.B., Lehéricy, S., Siebner, H.R. (2019) “The role of dopamine in the brain - lessons learned from Parkinson's disease” Neuroimage, 190, 79-93.

Irmen, F., Horn, A., Meder, D., Neumann, W.-J., Plettig, P., Schneider, G.-H., Siebner, H.R., Kühn, A.A. (2019) “Sensorimotor subthalamic stimulation restores risk-reward trade-off during sequential gambling in Parkinson’s diseases” Movement Disorders, 34(3), 366-376.

Meder, D. & Siebner, H.R. (2018) “Spectral signatures of neurodegenerative diseases: how to decipher them?” Brain, 8(141), 2241-2244.

Meder, D., Kolling, N., Verhagen, L., Wittmann, M.K., Scholl, J., Madsen, K.H., Hulme, O.J., Behrens, T.E.J. & Rushworth, M.F.S. (2017) “Simultaneous Representation of a Spectrum of Dynamically Changing Value Estimates during Decision Making.” Nature Communications, 8(11), 942.

Hjordt, L.V., Stenbæk, D.S., Madsen, K.S., Mc Mahon, B., Jensen, C.G., Vestergaard, M., Hageman, I., Meder, D., Hasselbalch, S.G. & Knudsen. G.M. (2017) “State-Dependent Alterations in Inhibitory Control and Emotional Face Identification in Seasonal Affective Disorder.” Journal of Abnormal Psychology, 126(3), 291–300.

Meder, D., Haagensen, B.N., Hulme, O., Morville, T., Gelskov, S., Herz, D. M., Diomsina, B., Madsen, K.H., Siebner, H.R. (2016). Tuning the Brake while Raising the Stake: Network Dynamics during Sequential Decision-Making. Journal of Neuroscience, 136, 5417-5426.

Meder, D., Madsen, K. H., Hulme, O., Siebner, H. R. (2016). Chasing probabilities — Signaling negative and positive prediction errors across domains. Neuroimage, 134, 180-191.

Malá, H., Andersen, L.G., Christensen, R.F., Felbinger, A., Hagstrøm, J., Meder, D., Mogensen, J. (2015). Prefrontal cortex and hippocampus in behavioural flexibility and posttraumatic functional recovery: Reversal learning and set-shifting in rats. Brain Research Bulletin, 116, 34–44.