Rainer Goebel is driven by the question how the human brain works, how it creates our mind and how gained knowledge can be applied to the benefit of society. He has continuously transformed three fields: brain imaging of perception and cognition, neuroimaging analysis methods, and hemodynamic brain-computer interfaces (BCIs). In order to gain increasingly fine-grained insights on the neural basis of the human mind, he constantly develops new methods and pushes the limits of the achievable spatial resolution using ultra-high field (7 and 9.4 Tesla) fMRI scanners. He uses his gained insights and methodological expertise to develop innovative BCIs. His software enables, for example, letter spelling in motor-impaired patients using only brain activity data and he has co-established a novel therapeutic approach that enables patients suffering from depression or Parkinson's disease to treat themselves using feedback of fMRI data from their own brains.
During his career, Goebel acquired expertise in brain anatomy and function, fMRI scanning and data analysis, fNIRS data analysis, combined EEG/MEG/fMRI modelling, structural and functional connectivity modelling, TMS neuronavigation, neural network modeling, psychophysics and (clinical) brain-computer interfaces. He trained more than 60 PhD students contributing to the early career of many excellent researchers.
A recent portrait of Rainer Goebel from Maastricht University can be found here: "A career on solid ground"
Rainer Goebel studied psychology and computer science in Marburg, Germany (1983-1988). He investigated in his master thesis how students learn to solve recursive programming problems. During his PhD at the Technical University of Braunschweig (1990-1994) he worked on artificial neural network simulations of visual processing under the supervision of Prof. Dirk Vorberg developing a deep large-scale oscillatory network model of scene segmentation, selective attention and shape recognition. He received his PhD (Dr. rer. nat., summa cum laude) in cognitive psychology (major), neurobiology (minor) and computer science (minor). In 1993 he received the Heinz Maier Leibnitz Advancement award in cognitive science sponsored by the German minister of science and education for a publication on the binding problem and in 1994 he received the Heinz Billing award from the Max Planck society for developing a software package ('Neurolator') for the creation and simulation of neural network models.
From 1995-1999 he was a postdoctoral fellow at the Max Planck Institute for Brain Research in Frankfurt/Main in the department of Neurophysiology under Prof. Wolf Singer where he founded the functional neuroimaging group. In 1997/1998 he was a fellow at the Berlin Institute for Advanced studies ("Wissenschaftskolleg zu Berlin").
Since January 2000, he is a full professor for cognitive neuroscience in the department of cognitive neuroscience of the faculty of psychology and neuroscience of Maastricht University. He contributed to the formation of the F.C. Donders Center for Cognitive Neuroimaging, Radboud University Nijmegen, where he was research fellow and member of the Board of Governors from 2001 - 2008. He is the founding director of the Maastricht Brain Imaging Centre (M-BIC), which celebrated its opening in spring 2005. and the driving force of the ultra-high field imaging center housing 3, 7 and 9.4 Tesla human MRI scanners that was opened by his majesty king Willem Alexander in 2013. From 2008 - 2017 he was team leader of the “Modeling and Neuroimaging” group at the Netherlands Institute for Neuroscience in Amsterdam. From 2005 - 2010 he was member of the board of the faculty as head of research and innovation. From 2006 - 2008 he served as chair of the Organization for Human Brain Mapping. Since 2016 he heads the department of cognitive neuroscience.
Rainer Goebel received funding for basic and translational neuroscience research including a prestigious Advanced Investigators Grant from the European Research Council (2011 - 2016) and several grants from the Human Brain Project (2014-2023). He also founded the company Brain Innovation BV that produces free and commercial software for neuroimaging data analysis and clinical applications. In 2014 he has been selected as member of the Royal Netherlands Academy of Arts and Sciences. In 2017 he has been selected as member of Leopoldina, the German National Academy of Science.
Research InterestsRainer Goebel’s core research interest is the question which neuronal representations are used in the brain and how they are processed to enable specific perceptual and cognitive functions. These questions are investigated by integrating neuroimaging with neural network modeling and the development of advanced analysis tools. Progress in understanding brain mechanisms are tested by neuroscientific applications including brain computer interfaces (BCIs) and neurofeedback studies. The following three sections describe the research topics currently studied most intensively.
Cracking the columnar-level functional code of the brainWith standard functional brain imaging (i.e. fMRI at 3 Tesla), we can routinely see specialised brain areas in the human brain, including “experts” for colour, visual motion, faces, words, language, planning, memory and emotions. This level of resolution reveals an amazing organisation of the brain that is similar, but not identical, across individuals. We still, however, know little about the representations coded inside specialised brain areas and how complex features emerge from combinations of simpler features when we move from one area to the next. With high-field MRI scanners (7 Tesla and beyond), the achievable functional resolution reaches to the sub-millimetre level (500–1000 microns). This is important since neurons with similar response properties seem to spatially cluster into functional units or cortical columns with a lateral extent of hundreds of microns. Studying the brain at the cortical columnar level seems to be the right level to reveal the principles that the brain uses to code information. I believe that this columnar-level code can indeed be "cracked" by adequately combining clever experimental designs (psychology), sub-millimetre fMRI (neuroimaging), sophisticated data analysis tools (signal analysis) and large-scale neuronal network modelling (computational neuroscience). Goebel believes that a massive attempt to crack the columnar-level code in as many areas as possible will ultimately lead to a deeper understanding how mind emerges from simpler units in the brain.
Neurofeedback and brain computer interfacesIn collaboration with Niels Birbaumer and Nikolaus Weiskopf, Goebel co-pioneered fMRI-based moment-to-moment neurofeedback with the development of the "Turbo-BrainVoyager" software package. After advancing real-time fMRI methods further, Goebel currently contributes to applications of fMRI neurofeedback as a novel therapeutic tool, e.g. for patients with Parkinson’s disease and depression (see TEDx talk above). Using fMRI and functional near infrared spectroscopy (fNIRS), Goebel, Sorger and colleagues use real-time fMRI also to develop communication BCIs for patients with severe motor impairments. Goebel also introduced the first interactive fMRI hyper scanning experiment where measured brain activity was used online to play “Brain Pong”. He currently extents real-time fMRI to the columnar level to enable content-specific neurofeedback studies and better communication BCIs.
Large-scale neuronal network modelingGoebel invented the “Common Brain Space” (CBS) modeling approach allowing for the first time to simulate and predict individual topographic neuroimaging data at different levels of organization reaching from networks to areas to columnar features; the CBS approach has been applied to explain visual illusions, selective visual attention and invariant object recognition and it will be used to model columnar-level feature representations measured with ultra-high field fMRI (see section above).
Besides these major topics, Rainer Goebel’s research activities also include:
- Artificial large-scale columnar-level neural network models of visual processing
- Neural correlates of visual attention, mental imagery and awareness
- Columnar-level cortical representations of auditory, somatosensory and multi sensory information
- Advanced methods for cortex-based statistics and brain normalization
- Portable brain-computer interfaces (BCIs) based on functional near infrared spectroscopy (fNIRS)
- Development of new analysis methods for structural and functional magnetic resonance imaging (fMRI) data
- Integration of spatially (fMRI) and temporally resolved (EEG/MEG) imaging methods
- Data-driven brain imaging analysis tools (Independent Component Analysis, ICA; Granger Causality Mapping, GCM)
- Investigating effects of temporary, virtual, lesions using Transcranial Magnetic Stimulation (TMS)
- MRI-based investigation of anatomical, functional and effective connectivity
Scientific Software DevelopmentRainer Goebel is a passionate programmer doing most of the coding for BrainVoyager and related software himself (see his BV Blog). Besides writing scientific papers and working with a group of intelligent young scientists, he views solving intricate problems through programming as the most challenging and rewarding activity in his scientific life. He is convinced that one of the most important activities of human beings is the creation of tools. The tools he enjoys creating are computer programs, such as BrainVoyager, which help many people to do better scientific and clinical research. His view on cross-platform development can be found in a press release by Nokia). He also enjoys developing free teaching software to help students learn about the human brain. His "BrainVoyager Brain Tutor" program won the runner-up prize for programming the "Best Original Commercial Qt Application" and his app Brain Tutor HD is available for iPad, iPhone and iPod Touch.
Rainer Goebel is also proud that an image created with BrainVoyager had been selected for inclusion in the famous OpenGL “red book” (see image on the right). This book is the definitive guide for learning 3D OpenGL programming. After learning OpenGL with the second edition of this book, it is a pleasure for him to see the fruits of his OpenGL coding efforts appearing in subsequent editions.
Academic Record1983 – 1988
Study of Psychology (major) and computer science (minor)
Diploma in Psychology
PhD degree (Dr. rer. nat., summa cum laude) at the Technical University of Braunschweig, Germany, in cognitive psychology (major), neurobiology (minor) and computer science (minor). Supervisor: Prof. Dirk Vorberg
1994 – 1999
Post-doc at Max-Planck-Institute (MPI) for Brain Research (Department of Neurophysiology, director: Prof. Wolf Singer)
1996 – 1998
Member of the "Sonderforschungsbereich Nichtlineare Dynamik", (fund of German Science Foundation "Nonlinear Dynamics")
1997 – 1998
Fellow at the Institute for Advanced Studies in Berlin, Germany (“Wissenschaftskolleg zu Berlin”)
Full professor of Cognitive Neuroscience at the Faculty of Psychology and Neuroscience at Maastricht University, The Netherlands
2001 – 2008
Research fellow and member of the board of governors of the F.C. Donders Centre for Cognitive Neuroimaging, Nijmegen, The Netherlands
Head of the Maastricht Brain Imaging Center (M-BIC), The Netherlands
Team leader "Neuroimaging & Neuromodelling" at the Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences (20% employment)
Member of the Royal Netherlands Academy of Arts and Sciences
Research RecordThe research conducted by Rainer Goebel and his team is documented in an extensive publication record with more than 180 peer-reviewed international journal publications and more than 20 book chapters. He has successfully supervised more than 30 PhD students and more than 10 post-docs; many former students have now assumed leadership positions in academia. He also received several prestigious grant awards to support his research at Maastricht University and Brain Innovation.
2013 – 2017
EU-FP7 Health Research and Innovation Collaborative Project “BRAINTRAIN”: Taking imaging into the therapeutic domain: Self-regulation of brain systems for mental disorders (via Brain Innovation)
2013 – 2017
EU-FP7 Health Research and Innovation Collaborative Project “IMAGEMEND”: “IMAging GEnetics for MENtal Disorders” (via Brain Innovation)
2012 – 2015
Main applicant of Dutch NWO grant for medium-size investment 2011/2012 “Advanced multi-channel RF-coils for sub-millimetre functional brain imaging on ultrahigh field magnetic resonance (MR) scanners” .
2012 - 2015
European Union (EU) grant (7th Framework): “Adaptive Brain Computations” (ABC), a Marie Curie Initial Training Networks (ITN), Industrial partner (Brain Innovation).
2011 – 2016
ERC Advanced Investigators grant (European Union 7th Framework) “Cracking the columnar-level code in the visual hierarchy: Ultra high-field functional MRI, neuro-cognitive modelling and high-resolution brain-computer interfaces”.
2010 – 2013
EU Grant "Deployment of Brain-Computer Interfaces for the Detection of Consciousness in Non-Responsive Patients" (DECODER) PI of sub-project “Exploring fNIRS”
2007 – 2013
Dutch Grant, “SmartMix” program (mix of academic and industrial institutions): “BrainGain”, BCI research PI of project: “fMRI-based neurofeedback”