Niels Birbaumer

Max-Planck-Institut für Intelligente Systeme, Tübingen, Tübingen, Baden-Württemberg, Germany

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Publications (653)2104.4 Total impact

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    ABSTRACT: Objective Stroke is a leading cause of long-term motor disability. Stroke patients with severe hand weakness do not profit from rehabilitative treatments. Recently, brain-controlled robotics and sequential functional electrical stimulation allowed some improvement. However, for such therapies to succeed, it is required to decode patients' intentions for different arm movements. Here, we evaluated whether residual muscle activity could be used to predict movements from paralyzed joints in severely impaired chronic stroke patients. Methods Muscle activity was recorded with surface-electromyography (EMG) in 41 patients, with severe hand weakness (Fugl-Meyer Assessment [FMA] hand subscores of 2.93 ± 2.7), in order to decode their intention to perform six different motions of the affected arm, required for voluntary muscle activity and to control neuroprostheses. Decoding of paretic and nonparetic muscle activity was performed using a feed-forward neural network classifier. The contribution of each muscle to the intended movement was determined. Results Decoding of up to six arm movements was accurate (>65%) in more than 97% of nonparetic and 46% of paretic muscles. Interpretation These results demonstrate that some level of neuronal innervation to the paretic muscle remains preserved and can be used to implement neurorehabilitative treatments in 46% of patients with severe paralysis and extensive cortical and/or subcortical lesions. Such decoding may allow these patients for the first time after stroke to control different motions of arm prostheses through muscle-triggered rehabilitative treatments.
    Annals of Clinical and Translational Neurology. 12/2015; 7.
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    ABSTRACT: Introduction: Different techniques for neurofeedback of voluntary brain activations are currently being explored for clinical application in brain disorders. One of the most frequently used approaches is the self-regulation of oscillatory signals recorded with electroencephalography (EEG). Many patients are, however, unable to achieve sufficient voluntary control of brain activity. This could be due to the specific anatomical and physiological changes of the patient's brain after the lesion, as well as to methodological issues related to the technique chosen for recording brain signals. Methods: A patient with an extended ischemic lesion of the cortex did not gain volitional control of sensorimotor oscillations when using a standard EEG-based approach. We provided him with neurofeedback of his brain activity from the epidural space by electrocorticography (ECoG). Results: Ipsilesional epidural recordings of field potentials facilitated self-regulation of brain oscillations in an online closed-loop paradigm and allowed reliable neurofeedback training for a period of 4 weeks. Conclusion: Epidural implants may decode and train brain activity even when the cortical physiology is distorted following severe brain injury. Such practice would allow for reinforcement learning of preserved neural networks and may well provide restorative tools for those patients who are severely afflicted.
    Frontiers in Behavioral Neuroscience 12/2014; · 4.76 Impact Factor
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    ABSTRACT: The loss of hand function can result in severe physical and psychosocial impairment. Thus, compensation of a lost hand function using assistive robotics that can be operated in daily life is very desirable. However, versatile, intuitive, and reliable control of assistive robotics is still an unsolved challenge. Here, we introduce a novel brain/neural-computer interaction (BNCI) system that integrates electroencephalography (EEG) and electrooculography (EOG) to improve control of assistive robotics in daily life environments. To evaluate the applicability and performance of this hybrid approach, five healthy volunteers (HV) (four men, average age 26.5±3.8 years) and a 34-year-old patient with complete finger paralysis due to a brachial plexus injury (BPI) used EEG (condition 1) and EEG/EOG (condition 2) to control grasping motions of a hand exoskeleton. All participants were able to control the BNCI system (BNCI control performance HV: 70.24±16.71%, BPI: 65.93±24.27%), but inclusion of EOG significantly improved performance across all participants (HV: 80.65±11.28, BPI: 76.03±18.32%). This suggests that hybrid BNCI systems can achieve substantially better control over assistive devices, e.g., a hand exoskeleton, than systems using brain signals alone and thus may increase applicability of brain-controlled assistive devices in daily life environments.
    Biomedizinische Technik/Biomedical Engineering 12/2014; · 1.16 Impact Factor
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    ABSTRACT: Stroke is among the leading causes of long-term disabilities leaving an increasing number of people with cognitive, affective and motor impairments depending on assistance in their daily life. While function after stroke can significantly improve in the first weeks and months, further recovery is often slow or non-existent in the more severe cases encompassing 30-50% of all stroke victims. The neurobiological mechanisms underlying recovery in those patients are incompletely understood. However, recent studies demonstrated the brain's remarkable capacity for functional and structural plasticity and recovery even in severe chronic stroke. As all established rehabilitation strategies require some remaining motor function, there is currently no standardized and accepted treatment for patients with complete chronic muscle paralysis. The development of brain-machine interfaces (BMIs) that translate brain activity into control signals of computers or external devices provides two new strategies to overcome stroke-related motor paralysis. First, BMIs can establish continuous high-dimensional brain-control of robotic devices or functional electric stimulation (FES) to assist in daily life activities (assistive BMI). Second, BMIs could facilitate neuroplasticity, thus enhancing motor learning and motor recovery (rehabilitative BMI). Advances in sensor technology, development of non-invasive and implantable wireless BMI-systems and their combination with brain stimulation, along with evidence for BMI system's clinical efficacy suggest that BMI-related strategies will play an increasing role in neurorehabilitation of stroke. Copyright © 2014. Published by Elsevier Inc.
    Neurobiology of Disease 12/2014; · 5.62 Impact Factor
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    ABSTRACT: Objective. Recently, there have been several approaches to utilize a brain–computer interface (BCI) for rehabilitation with stroke patients or as an assistive device for the paralyzed. In this study we investigated whether up to seven different hand movement intentions can be decoded from epidural electrocorticography (ECoG) in chronic stroke patients. Approach. In a screening session we recorded epidural ECoG data over the ipsilesional motor cortex from four chronic stroke patients who had no residual hand movement. Data was analyzed offline using a support vector machine (SVM) to decode different movement intentions. Main results. We showed that up to seven hand movement intentions can be decoded with an average accuracy of 61% (chance level 15.6%). When reducing the number of classes, average accuracies up to 88% can be achieved for decoding three different movement intentions. Significance. The findings suggest that ipsilesional epidural ECoG can be used as a viable control signal for BCI-driven neuroprosthesis. Although patients showed no sign of residual hand movement, brain activity at the ipsilesional motor cortex still shows enough intention-related activity to decode different movement intentions with sufficient accuracy. S Online supplementary data available from Keywords: electrocorticography (ECOG), stroke, brain-computer interface (BCI) (Some figures may appear in colour only in the online journal)
    Journal of Neural Engineering 10/2014; 11(6). · 3.28 Impact Factor
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    ABSTRACT: This study contrasted the neurological correlates of calendar calculating (CC) between those individuals with autism spectrum disorder (ASD) and typically developing individuals. CC is the ability to correctly and quickly state the day of the week of a given date. Using magnetoencephalography (MEG), we presented 126 calendar tasks with dates of the present, past, and future. Event-related magnetic fields (ERF) of 3000 ms duration and brain activation patterns were compared in three savant calendar calculators with ASD (ASDCC) and three typically developing calendar calculators (TYPCC). ASDCC outperformed TYPCC in correct responses, but not in answering speed. Comparing amplitudes of their ERFs, there was a main effect of group between 1000 and 3000 ms, but no further effects of hemisphere or sensor location. We conducted CLARA source analysis across the entire CC period in each individual. Both ASDCC and TYPCC exhibited activation maxima in prefrontal areas including the insulae and the left superior temporal gyrus. This is in accordance with verbal fact retrieval and working memory as well as monitoring and coordination processes. In ASDCC, additional activation sites at the right superior occipital gyrus, the right precuneus, and the right putamen point to visual-spatial strategies and are in line with the preference of autistic individuals for engaging posterior regions relatively more strongly in various reasoning and problem solving tasks.
    Brain and Cognition 10/2014; 90:157–164. · 2.82 Impact Factor
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    ABSTRACT: Background: Recent experimental evidence has indicated that the motor system coordinates muscle activations through a linear combination of muscle synergies that are specified at the spinal or brainstem networks level. After stroke upper limb impairment is characterized by abnormal patterns of muscle activations or synergies. Objective: This study aimed at characterizing the muscle synergies in severely affected chronic stroke patients. Furthermore, the influence of integrity of the sensorimotor cortex on synergy modularity and its relation with motor impairment was evaluated. Methods: Surface electromyography from 33 severely impaired chronic stroke patients was recorded during 6 bilateral movements. Muscle synergies were extracted and synergy patterns were correlated with motor impairment scales. Results: Muscle synergies extracted revealed different physiological patterns dependent on the preservation of the sensorimotor cortex. Patients without intact sensorimotor cortex showed a high preservation of muscle synergies. On the contrary, patients with intact sensorimotor cortex showed poorer muscle synergies preservation and an increase in new generated synergies. Furthermore, the preservation of muscle synergies correlated positively with hand functionality in patients with intact sensorimotor cortex and subcortical lesions only. Conclusion: Our results indicate that severely paralyzed chronic stroke patient with intact sensorimotor cortex might sculpt new synergy patterns as a response to maladaptive compensatory strategies.
    Frontiers in Human Neuroscience 09/2014; 8:744. · 2.91 Impact Factor
  • Sunjung Kim, Niels Birbaumer
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    ABSTRACT: The aim of this review is to provide a critical overview of recent research in the field of neuroscientific and clinical application of real-time functional MRI neurofeedback (rtfMRI-nf).
    Current opinion in psychiatry. 07/2014;
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    ABSTRACT: In this paper, we present an experimental approach to design systems sensitive to emotion. We describe a system for the detection of emotional states based on physiological signals and an application use case utilizing the detected emotional state. The application is an emotion management system to be used for the support in the improvement of life conditions of users suffering from cerebral palsy (CP). The system presented here combines effectively biofeedback sensors and a set of software algorithms to detect the current emotional state of the user and to react to them appropriately.
    Computers Helping People with Special Needs, Paris France; 07/2014
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    ABSTRACT: In amyotrophic lateral sclerosis (ALS), cognition is affected. Cortical atrophy in frontal and temporal areas has been associated with the cognitive profile of patients. Additionally, reduced metabolic turnover and regional cerebral blood flow in frontal areas indicative of reduced neural activity have been reported for ALS. We hypothesize that functional connectivity in non-task associated functional default mode network (DMN) is associated with cognitive profile and white matter integrity. This study focused on specific cognitive tasks known to be impaired in ALS such as verbal fluency and attention, and the relationship with functional connectivity in the DMN and white matter integrity. Nine patients and 11 controls were measured with an extensive neuropsychological battery. Resting-state functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) data were acquired. Results showed that ALS patients performed significantly worse in attention and verbal fluency task. Patients showed increased functional connectivity in parahippocampal and parietal areas of the non-task associated DMN compared to controls. The more pronounced the cognitive deficits, the stronger the increase in functional connectivity in those areas. White matter integrity was reduced in frontal areas in the patients. In conclusion, increased connectivity in the DMN in parahippocampal and parietal areas might represent recruitment of accessory brain regions to compensate for dysfunctional frontal networks.
    Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 05/2014; · 2.37 Impact Factor
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    ABSTRACT: Amyotrophic lateral sclerosis (ALS) can result in the locked-in state (LIS), characterized by paralysis, and eventual respiratory failure, compensated by artificial ventilation,(1) or the completely LIS (CLIS), with additional total paralysis of eye muscles. Brain-computer interfaces (BCIs) have been used to allow paralyzed people to regain basic communication,(2) although current EEG-based BCIs have not succeeded with CLIS patients.(3) We present Class IV case evidence to establish that communication in the CLIS is possible with a metabolic BCI based on near-infrared spectroscopy (NIRS).
    Neurology 04/2014; · 8.30 Impact Factor
  • Niels Birbaumer, Friedhelm C Hummel
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    ABSTRACT: Brain-Machine Interfaces (BMI) allow manipulation of external devices and computers directly with brain activity without involvement of overt motor actions. The neurophysiological principles of such robotic brain devices and BMIs follow Hebbian learning rules as described and realized by Valentino Braitenberg in his book "Vehicles," in the concept of a "thought pump" residing in subcortical basal ganglia structures. We describe here the application of BMIs for brain communication in totally locked-in patients and argue that the thought pump may extinguish-at least partially-in those people because of extinction of instrumentally learned cognitive responses and brain responses. We show that Pavlovian semantic conditioning may allow brain communication even in the completely paralyzed who does not show response-effect contingencies. Principles of skill learning and habit acquisition as formulated by Braitenberg are the building blocks of BMIs and neuroprostheses.
    Biological Cybernetics 03/2014; · 2.07 Impact Factor
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    ABSTRACT: Sensorimotor rhythms (SMR, 8-15 Hz) are brain oscillations associated with successful motor performance, imagery, and imitation. Voluntary modulation of SMR can be used to control brain-machine interfaces (BMI) in the absence of any physical movements. The mechanisms underlying acquisition of such skill are unknown. Here, we provide evidence for a causal link between function of the primary motor cortex (M1), active during motor skill learning and retention, and successful acquisition of abstract skills such as control over SMR. Thirty healthy participants were trained on 5 consecutive days to control SMR oscillations. Each participant was randomly assigned to one of 3 groups that received either 20 min of anodal, cathodal, or sham transcranial direct current stimulation (tDCS) over M1. Learning SMR control across training days was superior in the anodal tDCS group relative to the other 2. Cathodal tDCS blocked the beneficial effects of training, as evidenced with sham tDCS. One month later, the newly acquired skill remained superior in the anodal tDCS group. Thus, application of weak electric currents of opposite polarities over M1 differentially modulates learning SMR control, pointing to this primary cortical region as a common substrate for acquisition of physical motor skills and learning to control brain oscillatory activity.
    Cerebral Cortex 03/2014; · 8.31 Impact Factor
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    Klinische Neurophysiologie 03/2014; 45:32. · 0.33 Impact Factor
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    ABSTRACT: Objective. Patients in the completely locked-in state (CLIS), due to, for example, amyotrophic lateral sclerosis (ALS), no longer possess voluntary muscle control. Assessing attention and cognitive function in these patients during the course of the disease is a challenging but essential task for both nursing staff and physicians. Approach. An electrophysiological cognition test battery, including auditory and semantic stimuli, was applied in a late-stage ALS patient at four different time points during a six-month epidural electrocorticography (ECoG) recording period. Event-related cortical potentials (ERP), together with changes in the ECoG signal spectrum, were recorded via 128 channels that partially covered the left frontal, temporal and parietal cortex. Main results. Auditory but not semantic stimuli induced significant and reproducible ERP projecting to specific temporal and parietal cortical areas. N1/P2 responses could be detected throughout the whole study period. The highest P3 ERP was measured immediately after the patient's last communication through voluntary muscle control, which was paralleled by low theta and high gamma spectral power. Three months after the patient's last communication, i.e., in the CLIS, P3 responses could no longer be detected. At the same time, increased activity in low-frequency bands and a sharp drop of gamma spectral power were recorded. Significance. Cortical electrophysiological measures indicate at least partially intact attention and cognitive function during sparse volitional motor control for communication. Although the P3 ERP and frequency-specific changes in the ECoG spectrum may serve as indicators for CLIS, a close-meshed monitoring will be required to define the exact time point of the transition.
    Journal of Neural Engineering 02/2014; 11(2):026006. · 3.28 Impact Factor
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    ABSTRACT: Decisions and determinants of decisions to prolong or shorten life in the course of fatal diseases like ALS are poorly understood. Decisions and desire for hastened death of N = 93 ALS patients were investigated in a prospective longitudinal approach three times in the course of 1 year. Determinants of decisions were evaluated: quality of life (QoL), depression, feeling of being a burden, physical function, social support and cognitive status. More than half of patients had a positive attitude towards life-sustaining treatments and they had a low desire for hastened death. Of those with undecided or negative attitude, 10 % changed attitudes towards life-sustaining treatments in the course of 1 year. Patients' desire to hasten death was low and decreased significantly within 1 year despite physical function decline. Those with a high desire for hastened death decided against invasive therapeutic treatments. QoL, depression and social support were not predictors for vital decisions and remained stable. Feeling of being a burden was a predictor for decisions against life-supporting treatments. Throughout physical function loss, decisions to prolong life are flexibly adapted while desire to shorten life declines. QoL was stable and not a predictor for vital decisions, even though anticipated low QoL has been reported to be the reason to request euthanasia. In contrast, feeling of being a burden in decision making needs more attention in clinical counselling. Considering a patient's possible adaptation processes in the course of a fatal disease is necessary.
    Journal of Neurology 01/2014; · 3.58 Impact Factor
  • Niels Birbaumer
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    ABSTRACT: Censor et al. (2014) combine behavioral, TMS, and neuroimaging to identify task-free neural signatures that relate to modification of motor memories. Modulation of memories using TMS may provide a powerful approach to improve human brain function in neurorehabilitation and cognitive neuroscience.
    Neuron 01/2014; 81(1):3-5. · 15.77 Impact Factor
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    ABSTRACT: Introduction: Prostheses for upper-limb amputees are currently controlled by either myoelectric or peripheral neural signals. Performance and dexterity of these devices is still limited, particularly when it comes to controlling hand function. Movement-related brain activity might serve as a complementary bio-signal for motor control of hand prosthesis. Methods: We introduced a methodology to implant a cortical interface without direct exposure of the brain surface in an upper-limb amputee. This bi-directional interface enabled us to explore the cortical physiology following long-term transhumeral amputation. In addition, we investigated neurofeedback of electrocorticographic brain activity related to the patient's motor imagery to open his missing hand, i.e., phantom hand movement, for real-time control of a virtual hand prosthesis. Results: Both event-related brain activity and cortical stimulation revealed mutually overlapping cortical representations of the phantom hand. Phantom hand movements could be robustly classified and the patient required only three training sessions to gain reliable control of the virtual hand prosthesis in an online closed-loop paradigm that discriminated between hand opening and rest. Conclusion: Epidural implants may constitute a powerful and safe alternative communication pathway between the brain and external devices for upper-limb amputees, thereby facilitating the integrated use of different signal sources for more intuitive and specific control of multi-functional devices in clinical use.
    Frontiers in Human Neuroscience 01/2014; 8:285. · 2.91 Impact Factor
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    ABSTRACT: In order to enable communication through a brain-computer interface (BCI), it is necessary to discriminate between distinct brain responses. As a first step, we probed the possibility to discriminate between affirmative (“yes”) and negative (“no”) responses using a semantic classical conditioning paradigm, within an fMRI setting. Subjects were presented with congruent and incongruent word-pairs as conditioned stimuli (CS), respectively eliciting affirmative and negative responses. Incongruent word-pairs were associated to an unpleasant unconditioned stimulus (scream, US1) and congruent word-pairs were associated to a pleasant unconditioned stimulus (baby-laughter, US2), in order to elicit emotional conditioned responses (CR). The aim was to discriminate between affirmative and negative responses, enabled by their association with the positive and negative affective stimuli. In the late acquisition phase, when the US were not present anymore, there was a strong significant differential activation for incongruent and congruent word-pairs in a cluster comprising the left insula and the inferior frontal triangularis. This association was not found in the habituation phase. These results suggest that the difference in affirmative and negative brain responses was established as an effect of conditioning, allowing to further investigate the possibility of using this paradigm for a binary choice BCI.
    Frontiers in Behavioral Neuroscience 01/2014; · 4.76 Impact Factor
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    ABSTRACT: Electroencephalography (EEG) often fails to assess both the level (i.e., arousal) and the content (i.e., awareness) of pathologically altered consciousness in patients without motor responsiveness. This might be related to a decline of awareness, to episodes of low arousal and disturbed sleep patterns, and/or to distorting and attenuating effects of the skull and intermediate tissue on the recorded brain signals. Novel approaches are required to overcome these limitations. We introduced epidural electrocorticography (ECoG) for monitoring of cortical physiology in a late-stage amytrophic lateral sclerosis patient in completely locked-in state (CLIS). Despite long-term application for a period of six months, no implant-related complications occurred. Recordings from the left frontal cortex were sufficient to identify three arousal states. Spectral analysis of the intrinsic oscillatory activity enabled us to extract state-dependent dominant frequencies at <4, ~7 and ~20 Hz, representing sleep-like periods, and phases of low and elevated arousal, respectively. In the absence of other biomarkers, ECoG proved to be a reliable tool for monitoring circadian rhythmicity, i.e., avoiding interference with the patient when he was sleeping and exploiting time windows of responsiveness. Moreover, the effects of interventions addressing the patient's arousal, e.g., amantadine medication, could be evaluated objectively on the basis of physiological markers, even in the absence of behavioral parameters. Epidural ECoG constitutes a feasible trade-off between surgical risk and quality of recorded brain signals to gain information on the patient's present level of arousal. This approach enables us to optimize the timing of interactions and medical interventions, all of which should take place when the patient is in a phase of high arousal. Furthermore, avoiding low-responsiveness periods will facilitate measures to implement alternative communication pathways involving brain-computer interfaces (BCI).
    Frontiers in Human Neuroscience 01/2014; 8:861. · 2.91 Impact Factor

Publication Stats

26k Citations
2,104.40 Total Impact Points


  • 2014
    • Max-Planck-Institut für Intelligente Systeme, Tübingen
      • Department of Empirical Inference
      Tübingen, Baden-Württemberg, Germany
  • 1977–2014
    • University of Tuebingen
      • • Institute of Medical Psychology and Behavioral Neurobiology
      • • Department of Anesthesiology and Intensive Care Medicine
      Tübingen, Baden-Württemberg, Germany
  • 2012–2013
    • Tecnalia
      San Sebastián, Basque Country, Spain
    • Boca Raton Regional Hospital
      Boca Raton, Florida, United States
  • 2011–2013
    • Fondazione Ospedale San Camillo, Venezia
      Venetia, Veneto, Italy
    • Institut Philippe-Pinel de Montréal
      Montréal, Quebec, Canada
    • Pontifical Catholic University of Chile
      CiudadSantiago, Santiago, Chile
  • 2010–2013
    • University of Zaragoza
      Caesaraugusta, Aragon, Spain
  • 2009–2013
    • Aalborg University
      • Department of Health Science and Technology
      Aalborg, Region North Jutland, Denmark
    • University of Helsinki
      Helsinki, Southern Finland Province, Finland
    • Hebrew University of Jerusalem
      Yerushalayim, Jerusalem District, Israel
    • Universitätsspital Basel
      Bâle, Basel-City, Switzerland
    • Universität Stuttgart
      • Institute for Natural Language Processing
      Stuttgart, Baden-Wuerttemberg, Germany
    • Goethe-Universität Frankfurt am Main
      • Institute of Psychology
      Frankfurt am Main, Hesse, Germany
  • 2008–2013
    • University of Wuerzburg
      • Division of Psychology I
      Würzburg, Bavaria, Germany
    • Universitätsklinikum Freiburg
      • Department of Environmental Health Sciences
      Freiburg, Lower Saxony, Germany
    • University of Roehampton
      • Clinical and Health Psychology Research Centre (CHP)
      London, ENG, United Kingdom
  • 1980–2013
    • Universität Ulm
      • • Division of Neurophysiology
      • • Clinic of Neurology
      • • Institute of Applied Physiology
      • • Institute of Clinical and Biological Psychology
      Ulm, Baden-Wuerttemberg, Germany
  • 2006–2012
    • Universitätsklinikum Tübingen
      • Department of Otolaryngology, Head and Neck Surgery
      Tübingen, Baden-Württemberg, Germany
    • Sapienza University of Rome
      • Department of Psychology
      Roma, Latium, Italy
    • Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.
      München, Bavaria, Germany
    • University of Bonn
      Bonn, North Rhine-Westphalia, Germany
  • 2004–2012
    • National Institutes of Health
      • National Institute of Neurological Disorders and Stroke (NINDS)
      Maryland, United States
    • Charité Universitätsmedizin Berlin
      • Department of Nephrology
      Berlin, Land Berlin, Germany
  • 1992–2012
    • University of Padova
      • • Department of Developmental Psychology and Socialisation
      • • Department of General Psychology
      Padova, Veneto, Italy
  • 2009–2011
    • Ospedale di San Raffaele Istituto di Ricovero e Cura a Carattere Scientifico
      Milano, Lombardy, Italy
  • 2005–2011
    • University of the Balearic Islands
      • Department of Psychology
      Palma, Balearic Islands, Spain
    • University of Colorado at Boulder
      Boulder, Colorado, United States
  • 2003–2010
    • Graz University of Technology
      • • Institute for Knowledge Discovery
      • • Institut für Medizintechnik
      Graz, Styria, Austria
    • University of Bologna
      • Department of Experimental, Diagnostic and Specialty Medicine DIMES
      Bologna, Emilia-Romagna, Italy
  • 2001–2010
    • Technische Universität Dresden
      • Fachrichtung Psychologie
      Dresden, Saxony, Germany
  • 2007–2008
    • Universität Heidelberg
      • • Department of Neonatology and Intensive Care
      • • Department of Intensive Care Medicine
      Heidelberg, Baden-Wuerttemberg, Germany
    • University of Arkansas for Medical Sciences
      Little Rock, Arkansas, United States
    • University College London
      • Institute of Neurology
      London, ENG, United Kingdom
    • Università degli Studi G. d'Annunzio Chieti e Pescara
      • Institute for Advanced Biomedical Technologies ITAB
      Chieti, Abruzzo, Italy
  • 2006–2008
    • University of Salzburg
      • Fachbereich Psychologie
      Salzburg, Salzburg, Austria
  • 1988–2007
    • Pennsylvania State University
      • Department of Psychology
      State College, PA, United States
  • 2004–2006
    • Max Planck Institute for Biological Cybernetics
      Tübingen, Baden-Württemberg, Germany
  • 2002–2006
    • Università degli Studi di Trento
      Trient, Trentino-Alto Adige, Italy
  • 2000–2004
    • Central Institute of Mental Health
      • Klinik für Abhängiges Verhalten und Suchtmedizin
      Mannheim, Baden-Württemberg, Germany
  • 1999–2000
    • Washington University in St. Louis
      • Department of Psychiatry
      Saint Louis, MO, United States
    • Heinrich-Heine-Universität Düsseldorf
      • Klinik und Poliklinik für Psychiatrie und Psychotherapie der HHU, Rheinische Kliniken Düsseldorf
      Düsseldorf, North Rhine-Westphalia, Germany
  • 1995–2000
    • Humboldt-Universität zu Berlin
      • Department of Psychology
      Berlin, Land Berlin, Germany
  • 1998
    • Philipps University of Marburg
      Marburg, Hesse, Germany
  • 1997
    • Universität Konstanz
      • Department of Psychology
      Constance, Baden-Württemberg, Germany
  • 1992–1996
    • University of Münster
      • • Department of Neurology
      • • Institute of Experimental Pathology
      Münster, North Rhine-Westphalia, Germany
  • 1993–1994
    • McMaster University
      Hamilton, Ontario, Canada
  • 1992–1993
    • Università degli Studi del Sannio
      Benevento, Campania, Italy
  • 1983
    • University of South Florida
      Tampa, Florida, United States