Publications

Year: 2022

Benali, A., Tsutsui, K.-I., Sekino, M. & Pfeiffer, F. (2022). Brain Stimulation: From Basic Research to Clinical Use. FRONTIERS EBOOK.
Brain Stimulation: From Basic Research to Clinical Use
Abstract:

The aim of this Research Topic was to show how broad the field of brain stimulation has become recently, including basic research and clinical application. Numerous brain stimulation methods are being investigated to serve as neuromodulatory techniques, treating a variety of neuropsychiatric or neurological disorders (Antal et al., 2022; Camacho-Conde et al., 2022; Siebner et al., 2022). They can be divided into noninvasive and invasive methods. Non-invasive brain stimulation includes transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS) and transcranial alternating current stimulation (tACS), transcranial electrical stimulation (tES) and non-invasive vagus nerve stimulation (VNS). Invasive brain stimulation consists of intracortical microstimulation (ICMS) and deep brain stimulation (DBS)

Authors: Benali, Alia; Tsutsui, Ken-Ichiro Sekino, Masaki Pfeiffer, Friederike
Type of Publication: Book
Publisher: FRONTIERS EBOOK
Editor: Benali, A., Tsutsui, K-I., Sekino, M., Pfeiffer, F.
Month: Dec. 2022
ISBN: 978-2-83250-757-5
Full text: PDF | Online version
Cabaraux, P., Agrawal, S. K., Cai, H., Calabro, R. S., Cassali, C., Ilg, W. et al. (2022). Consensus Paper: Ataxic Gait. Cerebellum, 21(2).
Consensus Paper: Ataxic Gait
Abstract:

The aim of this consensus paper is to discuss the roles of the cerebellum in human gait, as well as its assessment and therapy. Cerebellar vermis is critical for postural control. The cerebellum ensures the mapping of sensory information into temporally relevant motor commands. Mental imagery of gait involves intrinsically connected fronto-parietal networks comprising the cerebellum. Muscular activities in cerebellar patients show impaired timing of discharges, affecting the patterning of the synergies subserving locomotion. Ataxia of stance/gait is amongst the first cerebellar deficits in cerebellar disorders such as degenerative ataxias and is a disabling symptom with a high risk of falls. Prolonged discharges and increased muscle coactivation may be related to compensatory mechanisms and enhanced body sway, respectively. Essential tremor is frequently associated with mild gait ataxia. There is growing evidence for an important role of the cerebellar cortex in the pathogenesis of essential tremor. In multiple sclerosis, balance and gait are affected due to cerebellar and spinal cord involvement, as a result of disseminated demyelination and neurodegeneration impairing proprioception. In orthostatic tremor, patients often show mild-to-moderate limb and gait ataxia. The tremor generator is likely located in the posterior fossa. Tandem gait is impaired in the early stages of cerebellar disorders and may be particularly useful in the evaluation of pre-ataxic stages of progressive ataxias. Impaired inter-joint coordination and enhanced variability of gait temporal and kinetic parameters can be grasped by wearable devices such as accelerometers. Kinect is a promising low cost technology to obtain reliable measurements and remote assessments of gait. Deep learning methods are being developed in order to help clinicians in the diagnosis and decision-making process. Locomotor adaptation is impaired in cerebellar patients. Coordinative training aims to improve the coordinative strategy and foot placements across strides, cerebellar patients benefiting from intense rehabilitation therapies. Robotic training is a promising approach to complement conventional rehabilitation and neuromodulation of the cerebellum. Wearable dynamic orthoses represent a potential aid to assist gait. The panel of experts agree that the understanding of the cerebellar contribution to gait control will lead to a better management of cerebellar ataxias in general and will likely contribute to use gait parameters as robust biomarkers of future clinical trials.

Authors: Cabaraux, P. Agrawal, S. K. Cai, H. Calabro, R. S. Cassali, C. Ilg, Winfried; Damm, L. Doss, S. Habas, C. Horn, A. K. E. Louis, E. D. Mitoma, H. Monaco, V. Petracca, M. Ranavolo, R. Rao, A. K. Ruggieri, S. Schirinzi, T. Serrao, M. Summa, S. Strupp, M. Surgent, O. Synofzik, M. Tao, S. Terasi, H. Torres‑Russotto, D. Travers, B. Roper, J. A. Manto, M.
Research Areas: Uncategorized
Type of Publication: Article
Journal: Cerebellum
Volume: 21
Number: 2
Year: 2022
Month: April
ISSN: Publ-ishe
Full text: PDF | Online version
Thierfelder, A., Seemann, J., John, N., Harmuth, F., Giese, M. A., Sch\"ule, R. et al. (2022). Real-Life Turning Movements Capture Subtle Longitudinal and Preataxic Changes in Cerebellar Ataxia. Movement Disorders.
Real-Life Turning Movements Capture Subtle Longitudinal and Preataxic Changes in Cerebellar Ataxia
Abstract:

ABSTRACT: Background: Clinical and regulatory acceptance of upcoming molecular treatments in degenerative ataxias might greatly benefit from ecologically valid endpoints that capture change in ataxia severity in patients’ real life. Objectives: This longitudinal study aimed to unravel quantitative motor biomarkers in degenerative ataxias in real-life turning movements that are sensitive for changes both longitudinally and at the preataxic stage. Methods: Combined cross-sectional (n = 30) and longitudinal (n = 14, 1-year interval) observational study in degenerative cerebellar disease (including eight preataxic mutation carriers) compared to 23 healthy controls. Turning movements were assessed by three body-worn inertial sensors in three conditions: (1) instructed laboratory assessment, (2) supervised free walking, and (3) unsupervised real-life movements. Results: Measures that quantified dynamic balance during turning—lateral velocity change (LVC) and outward acceleration—but not general turning measures such as speed, allowed differentiating ataxic against healthy subjects in real life (effect size δ = 0.68), with LVC also differentiating preataxic against healthy subjects (δ = 0.53). LVC was highly correlated with clinical ataxia severity (scale for the assessment and rating of ataxia [SARA] score, effect size ρ = 0.79) and patient reported balance confidence (activity-specific balance confidence scale [ABC] score, ρ = 0.66). Moreover, LVC in real life—but not general turning measures or the SARA score—allowed detecting significant longitudinal change in 1-year follow-up with high effect size (rprb = 0.66). Conclusions: Measures of turning allow capturing specific changes of dynamic balance in degenerative ataxia in real life, with high sensitivity to longitudinal differences

Authors: Thierfelder, Annika Seemann, Jens; John, Natalie Harmuth, Florian Giese, Martin A.; Sch\"ule, Rebecca Schöls, Ludger Timmann, Dagmar Synofzik, Matthis Ilg, Winfried
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF | Online version
Heinrich, T., Lappe, A. & Hanke, F. D. (2022). Beyond the classic sensory systems: Characteristics of the sense of time of harbor seals (Phoca vitulina) assessed in a visual temporal discrimination and a bisection task. The Anatomical Record, 305(3), 704-714.
Beyond the classic sensory systems: Characteristics of the sense of time of harbor seals (Phoca vitulina) assessed in a visual temporal discrimination and a bisection task
Abstract:

Abstract Beyond the classic sensory systems, the sense of time is most likely involved from foraging to navigation. As a prerequisite for assessing the role time is playing in different behavioral contexts, we further characterized the sense of time of a harbor seal in this study. Supra-second time intervals were presented to the seal in a temporal discrimination and a temporal bisection task. During temporal discrimination, the seal needed to discriminate between a standard time interval (STI) and a longer comparison interval. In the bisection task, the seal learnt to discriminate two STIs. Subsequently, it indicated its subjective perception of test time intervals as resembling either the short or long STI more. The seal, although unexperienced regarding timing experiments, learnt both tasks fast. Depending on task, time interval or duration ratio, it achieved a high temporal sensitivity with Weber fractions ranging from 0.11 to 0.26. In the bisection task, the prerequisites for the Scalar Expectancy Theory including a constant Weber fraction, the bisection point lying close to the geometric mean of the STIs, and no significant influence of the STI pair condition on the probability of a long response were met for STIs with a ratio of 1:2, but not with a ratio of 1:4. In conclusion, the harbor seal's sense of time allows precise and complex judgments of time intervals. Cross-species comparisons suggest that principles commonly found to govern timing performance can also be discerned in harbor seals.

Authors: Heinrich, Tamara Lappe, Alexander; Hanke, Frederike D.
Type of Publication: Article
Full text: PDF | Online version
Laßmann, C., Ilg, W., Rattay, T. W., Schöls, L., Giese, M. A. & Haeufle, D. (2022). Dysfunctional neuro-muscular1 mechanisms explain gradual gait2 changes in prodromal spastic3 paraplegia. medRxiv 2022.
Dysfunctional neuro-muscular1 mechanisms explain gradual gait2 changes in prodromal spastic3 paraplegia
Abstract:

In Hereditary Spastic Paraplegia (HSP) type 4 (SPG4) a length-dependent axonal degeneration in the cortico-spinal tract leads to progressing symptoms of hyperreflexia, muscle weakness, and spasticity of lower extremities. Even before the manifestation of spastic gait, in the prodromal phase, axonal degeneration leads to subtle gait changes. These gait changes – depicted by digital gait recording – are related to disease severity in prodromal and early-to-moderate manifest SPG4 subjects. We hypothesize that dysfunctional neuro-muscular mechanisms such as hyperreflexia and muscle weakness explain these disease severity-related gait changes of prodromal and early-to-moderate manifest SPG4 subjects. We test our hypothesis in computer simulation with a neuro-muscular model of human walking. We introduce neuro-muscular dysfunction by gradually increasing sensory-motor reflex sensitivity based on increased velocity feedback and gradually increasing muscle weakness by reducing maximum isometric force. By increasing hyperreflexia of plantarflexor and dorsiflexor muscles, we found gradual muscular and kinematic changes in neuro-musculoskeletal simulations that are comparable to subtle gait changes found in prodromal SPG4 subjects. Predicting kinematic changes of prodromal and early-to-moderate manifest SPG4 subjects by gradual alterations of sensory-motor reflex sensitivity allows us to link gait as a directly accessible performance marker to emerging neuro-muscular changes for early therapeutic interventions.

Authors: Laßmann, Christian Ilg, Winfried; Rattay, Tim W. Schöls, Ludger Giese, Martin A.; Haeufle, Daniel
Type of Publication: Article
Full text: PDF
Ilg, W., M\"uller, B., Faber, J., van Gaalen, J., Hengel, H., Vogt, I. R. et al. (2022). Digital gait biomarkers, but not clinical ataxia scores, allow to capture 1-year longitudinal change in Spinocerebellar ataxia type 3 (SCA3). accepted in Movement Disorders 2022.
Digital gait biomarkers, but not clinical ataxia scores, allow to capture 1-year longitudinal change in Spinocerebellar ataxia type 3 (SCA3)
Abstract:

Measures of step variability and body sway during gait have shown to correlate with clinical ataxia severity in several cross-sectional studies. However, to serve as a valid progression biomarker, these gait measures have to prove their sensitivity to robustly capture longitudinal change, ideally within short time-frames (e.g. one year). We present the first multi-center longitudinal gait analysis study in spinocerebellar ataxias (SCAs). We performed a combined cross-sectional (n=28) and longitudinal (1-year interval, n=17) analysis in SCA3 subjects (including 7 pre-ataxic mutation carriers). Longitudinal analysis revealed significant change in gait measures between baseline and 1-year follow-up, with high effect sizes (stride length variability: p=0.01, effect size rprb=0.66; lateral sway: p=0.007, rprb=0.73). Sample size estimation for lateral sway reveals a required cohort size of n=43 for detecting a 50% reduction of natural progression, compared to n=240 for the clinical ataxia score SARA. These measures thus present promising motor biomarkers for upcoming interventional studies.

Authors: Ilg, Winfried; M\"uller, Björn Faber, Jennifer van Gaalen, Judith Hengel, Holger Vogt, Ina R. Hennes, Guido van de Warrenburg, Bart Klockgether, Thomas Schöls, Ludger Synofzik, Matthis
Type of Publication: Article
Full text: PDF
Laßmann, C., Ilg, W., Schneider, M., Völker, M., Haeufle, D., Sch\"ule, R. et al. (2022). Specific gait changes in prodromal hereditary spastic paraplegia type 4 - preSPG4 study. accepted in Movement Disorders 2022.
Specific gait changes in prodromal hereditary spastic paraplegia type 4 - preSPG4 study
Abstract:

Background: In hereditary spastic paraplegia type 4 (SPG4), subclinical gait changes might occur years before patients realize gait disturbances. The prodromal phase of neurodegenerative disease is of particular interest to halt disease progression by future interventions before impairment has manifested. Objectives: Identification of specific movement abnormalities before manifestation of gait impairment and quantification of disease progression in the prodromal phase. Methods: 70 subjects participated in gait assessment, including 30 prodromal SPAST mutation carriers, 17 patients with mild-to-moderate manifest SPG4, and 23 healthy controls. Gait was assessed by an infrared-camera-based motion capture system to analyze features like range of motion and continuous angle trajectories. Those features were correlated with disease severity as assessed by the Spastic Paraplegia Rating Scale (SPRS) and neurofilament light chain (NfL) as a fluid biomarker indicating neurodegeneration. Results: Compared to healthy controls, we found an altered gait pattern in prodromal mutation carriers during the swing phase in segmental angles of the lower leg (p

Authors: Laßmann, Christian Ilg, Winfried; Schneider, Marc Völker, Maximilian Haeufle, Daniel Sch\"ule, Rebecca Giese, Martin A.; Synofzik, Matthis Schöls, Ludger Rattay, Tim W.
Type of Publication: Article
Full text: PDF
Chiovetto, E., Salatiello, A., D'Avella, A. & Giese, M. A. (2022). Toward a unifying framework for the modeling and identification of motor primitives. Frontiers in computational neuroscience, 16 926345.
Toward a unifying framework for the modeling and identification of motor primitives
Abstract:

A large body of evidence suggests that human and animal movements, despite their apparent complexity and flexibility, are remarkably structured. Quantitative analyses of various classes of motor behaviors consistently identify spatial and temporal features that are invariant across movements. Such invariant features have been observed at different levels of organization in the motor system, including the electromyographic, kinematic, and kinetic levels, and are thought to reflect fixed modules-named motor primitives-that the brain uses to simplify the construction of movement. However, motor primitives across space, time, and organization levels are often described with ad-hoc mathematical models that tend to be domain-specific. This, in turn, generates the need to use model-specific algorithms for the identification of both the motor primitives and additional model parameters. The lack of a comprehensive framework complicates the comparison and interpretation of the results obtained across different domains and studies. In this work, we take the first steps toward addressing these issues, by introducing a unifying framework for the modeling and identification of qualitatively different classes of motor primitives. Specifically, we show that a single model, the anechoic mixture model, subsumes many popular classes of motor primitive models. Moreover, we exploit the flexibility of the anechoic mixture model to develop a new class of identification algorithms based on the Fourier-based Anechoic Demixing Algorithm (FADA). We validate our framework by identifying eight qualitatively different classes of motor primitives from both simulated and experimental data. We show that, compared to established model-specific algorithms for the identification of motor primitives, our flexible framework reaches overall comparable and sometimes superior reconstruction performance. The identification framework is publicly released as a MATLAB toolbox (FADA-T, https://tinyurl.com/compsens) to facilitate the identification and comparison of different motor primitive models.

Authors: Chiovetto, Enrico Salatiello, Alessandro; d'Avella, Andrea Giese, Martin A.
Type of Publication: Article
Full text: PDF
Ramachandra, V., Giese, M. A. & Benali, A. (2022). The Effects of Low-Intensity Repetitive Transcranial Magnetic Stimulation on White Matter Plasticity and Depression. .
The Effects of Low-Intensity Repetitive Transcranial Magnetic Stimulation on White Matter Plasticity and Depression
Authors: Ramachandra, Vishnudev Giese, Martin A.; Benali, Alia
Type of Publication: Article
Full text: PDF | Online version
Hörner, M., Groh, J., Klein, D., Ilg, W., Schöls, L., Santos, S. D. et al. (2022). CNS-associated T-lymphocytes in a mouse model of Hereditary Spastic Paraplegia type 11 (SPG11) are therapeutic targets for established immunomodulators.. accepted in Experimental Neurology.
CNS-associated T-lymphocytes in a mouse model of Hereditary Spastic Paraplegia type 11 (SPG11) are therapeutic targets for established immunomodulators.
Authors: Hörner, M. Groh, J. Klein, D. Ilg, Winfried; Schöls, L. Santos, S. Dos Bergmann, A. Klebe, S. Cauhape, M. Branchu, J. Hachimi, K. El Stevanin, G. Darios, F. Martini, R.
Research Areas: Uncategorized
Type of Publication: Article
Thierfelder, A., Primbs, J., Severitt, B., Hohnecker, C. S., K\"uhnhausen, J., Alt, A. K. et al. (2022). Multimodal sensor-based identification of stress and compulsive actions in children with obsessive-compulsive disorder for telemedical treatment. 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
Multimodal sensor-based identification of stress and compulsive actions in children with obsessive-compulsive disorder for telemedical treatment
Abstract:

In modern psychotherapy, digital health technology offers advanced and personalized therapy options, increasing availability as well as ecological validity. These aspects have proven to be highly relevant for children and adolescents with obsessive-compulsive disorder (OCD). Exposure and Response Prevention therapy, which is the state-of-the-art treatment for OCD, builds on the reconstruction of everyday life exposure to anxious situations. However, while compulsive behavior predominantly occurs in home environments, exposure situations during therapy are limited to clinical settings. Telemedical treatment allows to shift from this limited exposure reconstruction to exposure situations in real life. In the SSTeP KiZ study (smart sensor technology in telepsychotherapy for children and adolescents with OCD), we combine video therapy with wearable sensors delivering physiological and behavioral measures to objectively determine the stress level of patients. The setup allows to gain information from exposure to stress in a realistic environment both during and outside of therapy sessions. In a first pilot study, we explored the sensitivity of individual sensor modalities to different levels of stress and anxiety. For this, we captured the obsessive-compulsive behavior of five adolescents with an ECG chest belt, inertial sensors capturing hand movements, and an eye tracker. Despite their prototypical nature, our results deliver strong evidence that the examined sensor modalities yield biomarkers allowing for personalized detection and quantification of stress and anxiety. This opens up future possibilities to evaluate the severity of individual compulsive behavior based on multi-variate state classification in real-life situations.

Authors: Thierfelder, Annika Primbs, Jonas Severitt, Björn Hohnecker, Carolin Sarah K\"uhnhausen, Jan Alt, Annika Kristin Pascher, Anja Wörz, Ursula Passon, Helene Seemann, Jens; Ernst, Christian Lautenbacher, Heinrich Holderried, Martin Kasneci, Enkelejda Giese, Martin A.; Bulling, Andreas Menth, Michael Barth, Gottfried Maria Ilg, Winfried; Hollmann, Karsten Renner, Tobias Johann
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF | Online version

Year: 2021

Lang, J., Giese, M. A., Synofzik, M., Ilg, W. & Otte, S. (2021). Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification.. - ICANN 2021 30th International Conference on Artificial Neural Networks.
Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification.
Abstract:

Motor disturbances can affect the interaction with dynamic objects, such as catching a ball. A classification of clinical catching trials might give insight into the existence of pathological alterations in the relation of arm and ball movements. Accurate, but also early decisions are required to classify a catching attempt before the catcher's first ball contact. To obtain clinically valuable results, a significant decision confidence of at least 75% is required. Hence, three competing objectives have to be optimized at the same time: accuracy, earliness and decision-making confidence. Here we propose a coupled classification and prediction approach for early time series classification: a predictive, generative recurrent neural network (RNN) forecasts the next data points of ball trajectories based on already available observations; a discriminative RNN continuously generates classification guesses based on the available data points and the unrolled sequence predictions. We compare our approach, which we refer to as predictive sequential classification (PSC), to state-of-the-art sequence learners, including various RNN and temporal convolutional network (TCN) architectures. On this hard real-world task we can consistently demonstrate the superiority of PSC over all other models in terms of accuracy and confidence with respect to earliness of recognition. Specifically, PSC is able to confidently classify the success of catching trials as early as 123 milliseconds before the first ball contact. We conclude that PSC is a promising approach for early time series classification, when accurate and confident decisions are required.

Authors: Lang, Jana Giese, Martin A.; Synofzik, M. Ilg, Winfried; Otte, S.
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF | Online version
Taubert, N., Stettler, M., Siebert, R., Spadacenta, S., Sting, L., Dicke, P. et al. (2021). Shape-invariant encoding of dynamic primate facial expressions in human perception. eLife.
Shape-invariant encoding of dynamic primate facial expressions in human perception
Abstract:

Dynamic facial expressions are crucial for communication in primates. Due to the difficulty to control shape and dynamics of facial expressions across species, it is unknown how species-specific facial expressions are perceptually encoded and interact with the representation of facial shape. While popular neural network models predict a joint encoding of facial shape and dynamics, the neuromuscular control of faces evolved more slowly than facial shape, suggesting a separate encoding. To investigate these alternative hypotheses, we developed photo-realistic human and monkey heads that were animated with motion capture data from monkeys and humans. Exact control of expression dynamics was accomplished by a Bayesian machine-learning technique. Consistent with our hypothesis, we found that human observers learned cross-species expressions very quickly, where face dynamics was represented largely independently of facial shape. This result supports the co-evolution of the visual processing and motor control of facial expressions, while it challenges appearance-based neural network theories of dynamic expression recognition.

Authors: Taubert, Nick; Stettler, Michael Siebert, R. Spadacenta, S. Sting, L. Dicke, P. Thier, P. Giese, Martin A.
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF | Online version
Giese, M. A., Mukovskiy, A., Hovaidi-Ardestani, M., Salatiello, A. & Stettler, M. (2021). Neurophysiologically-inspired model for social interactions recognition from abstract and naturalistic stimuli. VSS 2021.
Neurophysiologically-inspired model for social interactions recognition from abstract and naturalistic stimuli
Authors: Giese, Martin A.; Mukovskiy, Albert; Hovaidi-Ardestani, M. Salatiello, Alessandro; Stettler, Michael
Research Areas: Uncategorized
Type of Publication: Article
Salatiello, A. & Giese, M. A. (2021). Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses.. Proceedings of the 2021 IEEE International Joint Conference on Neural Networks, 1-8.
Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses.
Abstract:

State-of-the-art motorized hand prostheses are endowed with actuators able to provide independent and proportional control of as many as six degrees of freedom (DOFs). The control signals are derived from residual electromyographic (EMG) activity, recorded concurrently from relevant forearm muscles. Nevertheless, the functional mapping between forearm EMG activity and hand kinematics is only known with limited accuracy. Therefore, no robust method exists for the reliable computation of control signals for the independent and proportional actuation of more than two DOFs. A common approach to deal with this limitation is to preprogram the prostheses for the execution of a restricted number of behaviors (e.g., pinching, grasping, and wrist rotation) that are activated by the detection of specific EMG activation patterns. However, this approach severely limits the range of activities users can perform with the prostheses during their daily living. In this work, we introduce a novel method, based on a long short-term memory (LSTM) network, to map forearm EMG activity onto hand kinematics online. Critically, unlike previous research efforts that tend to focus on simple and highly controlled motor tasks, we tested our method on a dataset of daily living activities (ADLs): the KIN-MUS UJI dataset. To the best of our knowledge, ours is the first reported work on the prediction of hand kinematics that uses this challenging dataset. Remarkably, we show that our network is able to generalize to novel untrained ADLs. Our results suggest that the presented method is suitable for the generation of control signals for the independent and proportional actuation of the multiple DOFs of state-of-the-art hand prostheses.

Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF | Online version
Thierfelder, A., Seemann, J., John, N., Giese, M. A., Schöls, L., Timman, D. et al. (2021). Turning movements in real life capture subtle longitudinal and preataxic changes in cerebellar ataxia. bioRxiv.
Turning movements in real life capture subtle longitudinal and preataxic changes in cerebellar ataxia
Abstract:

OBJECTIVES Clinical and regulatory acceptance of upcoming molecular treatments in degenerative ataxias might greatly benefit from ecologically valid endpoints which capture change in ataxia severity in patients’ real life. This longitudinal study aimed to unravel quantitative motor biomarkers in degenerative ataxias in real life turning movements which are sensitive for changes both longitudinally and at the preataxic stage.

Authors: Thierfelder, Annika Seemann, Jens; John, N. Giese, Martin A.; Schöls, L. Timman, D. Synofzik, M. Ilg, Winfried
Research Areas: Uncategorized
Type of Publication: Article
Full text: Online version
Benali, A., Pfeiffer, F. & Tsutsui, K.-I. (2021). Brain Stimulation: From Basic Research to Clinical Use. .
Brain Stimulation: From Basic Research to Clinical Use
Abstract:

Originating in basic research, as a basis for understanding the function of brain areas, brain stimulation is currently employed for the treatment of many brain disorders including Parkinson's Disease, Epilepsy, and Depression. However, the available techniques for brain stimulation can differ, in the degree of surgical intervention: Invasive Brain Stimulation (IBS) techniques such as Deep Brain Stimulation (DBS) and Intracortical Microstimulation (ICMS) that require extensive surgical intervention for placement of electrodes, or Non-Invasive Brain Stimulation (NIBS) techniques, for example, Transcranial Magnetic Stimulation (TMS) and Transcranial Electrical Current Stimulation (tES) that require minimal or no intervention. With the development of thin movable electrodes having superior biocompatibility, some of the side effects related to the invasive procedure of IBS will very likely to be overcome. Likewise, advances in NIBS techniques related to spatial and temporal precision have closed the gap to its invasive counterparts. In parallel, considerable progress is being made in research laboratories using brain stimulation techniques to gain deeper insights into brain functions, and underlying neural and glial mechanisms, which in turn increase the efficacy of brain stimulation in treatments. Therefore, the therapeutic potential of stimulation techniques is not yet completed exhausted. However, the question remains, can the results from basic research be transferred easily to treatment of patients? By looking at the successes achieved in the past years, the answer to this question should be yes. Well-described animal models, good theoretical and anatomical models are essential for such translations. The proposed research topic aims to gather more evidence on the role of BS as a tool to better understand the physiological mechanisms of the brain, by studying the temporal and spatial dynamics of cortical and subcortical activations, and to discuss challenges and develop strategies for innovative therapeutic procedures. This Research Topic welcomes Original Research, Perspectives, Systematic Reviews, and Meta-Analyses covering the following topics: - Basic research models, theoretical models, preclinical or clinical applications of cortical and subcortical stimulation using TMS, tES, ICMS, and DBS in animal models and humans - Translational articles dealing with the effects of neuromodulation on the biochemistry of brain tissues, as well as those focusing on modeling strategies and closed-loop technologies - Neurophysiological studies in animal models and humans focusing on the mechanisms leading to altered cortical excitability, plasticity, and connectivity, or new experimental models aimed at understanding changes in cellular processes induced by electrical or inductive stimulation of neurons.

Authors: Benali, Alia; Pfeiffer, Friederike Tsutsui, Ken-Ichiro
Type of Publication: Article
Full text: Online version
Benali, A., Tsutsui, K.-I., Pfeiffer, F. & Sekino, M. (2021). Brain Stimulation: From Basic Research to Clinical Use. Frontiers in Human Neuroscience Brain Imaging and Stimulation. Retrieved from https://www.frontiersin.org/research-topics/18713/brain-stimulation-from-basic-research-to-clinical-use.
Brain Stimulation: From Basic Research to Clinical Use
Abstract:

Originating in basic research, as a basis for understanding the function of brain areas, brain stimulation is currently employed for the treatment of many brain disorders including Parkinson's Disease, Epilepsy, and Depression. However, the available techniques for brain stimulation can differ, in the degree of surgical intervention: Invasive Brain Stimulation (IBS) techniques such as Deep Brain Stimulation (DBS) and Intracortical Microstimulation (ICMS) that require extensive surgical intervention for placement of electrodes, or Non-Invasive Brain Stimulation (NIBS) techniques, for example, Transcranial Magnetic Stimulation (TMS) and Transcranial Electrical Current Stimulation (tES) that require minimal or no intervention. With the development of thin movable electrodes having superior biocompatibility, some of the side effects related to the invasive procedure of IBS will very likely to be overcome. Likewise, advances in NIBS techniques related to spatial and temporal precision have closed the gap to its invasive counterparts. In parallel, considerable progress is being made in research laboratories using brain stimulation techniques to gain deeper insights into brain functions, and underlying neural and glial mechanisms, which in turn increase the efficacy of brain stimulation in treatments. Therefore, the therapeutic potential of stimulation techniques is not yet completed exhausted. However, the question remains, can the results from basic research be transferred easily to treatment of patients? By looking at the successes achieved in the past years, the answer to this question should be yes. Well-described animal models, good theoretical and anatomical models are essential for such translations. The proposed research topic aims to gather more evidence on the role of BS as a tool to better understand the physiological mechanisms of the brain, by studying the temporal and spatial dynamics of cortical and subcortical activations, and to discuss challenges and develop strategies for innovative therapeutic procedures. This Research Topic welcomes Original Research, Perspectives, Systematic Reviews, and Meta-Analyses covering the following topics: - Basic research models, theoretical models, preclinical or clinical applications of cortical and subcortical stimulation using TMS, tES, ICMS, and DBS in animal models and humans - Translational articles dealing with the effects of neuromodulation on the biochemistry of brain tissues, as well as those focusing on modeling strategies and closed-loop technologies - Neurophysiological studies in animal models and humans focusing on the mechanisms leading to altered cortical excitability, plasticity, and connectivity, or new experimental models aimed at understanding changes in cellular processes induced by electrical or inductive stimulation of neurons.

Authors: Benali, Alia; Tsutsui, Ken-Ichiro Pfeiffer, F. Sekino, Masaki
Type of Publication: Electronic Article
Journal: Frontiers in Human Neuroscience Brain Imaging and Stimulation
Full text: Online version
Taubert, N. & Giese, M. A. (2021). Hierarchical Deep Gaussian Processes Latent Variable Model via Expectation Propagation. Artificial Neural Networks and Machine Learning – ICANN 2021 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part I. Springer, Berlin.
Hierarchical Deep Gaussian Processes Latent Variable Model via Expectation Propagation
Type of Publication: Article
Full text: PDF
Salatiello, A. & Giese, M. A. (2021). Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses. arXiv preprint.
Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses
Abstract:

State-of-the-art motorized hand prostheses are endowed with actuators able to provide independent and proportional control of as many as six degrees of freedom (DOFs). The control signals are derived from residual electromyographic (EMG) activity, recorded concurrently from relevant forearm muscles. Nevertheless, the functional mapping between forearm EMG activity and hand kinematics is only known with limited accuracy. Therefore, no robust method exists for the reliable computation of control signals for the independent and proportional actuation of more than two DOFs. A common approach to deal with this limitation is to pre-program the prostheses for the execution of a restricted number of behaviors (e.g., pinching, grasping, and wrist rotation) that are activated by the detection of specific EMG activation patterns. However, this approach severely limits the range of activities users can perform with the prostheses during their daily living. In this work, we introduce a novel method, based on a long short-term memory (LSTM) network, to continuously map forearm EMG activity onto hand kinematics. Critically, unlike previous work, which often focuses on simple and highly controlled motor tasks, we tested our method on a dataset of activities of daily living (ADLs): the KIN-MUS UJI dataset. To the best of our knowledge, ours is the first reported work on the prediction of hand kinematics that uses this challenging dataset. Remarkably, we show that our network is able to generalize to novel untrained ADLs. Our results suggest that the presented method is suitable for the generation of control signals for the independent and proportional actuation of the multiple DOFs of state-of-the-art hand prostheses.

Research Areas: Uncategorized
Type of Publication: Article
Full text: Online version
Salatiello, A., Hovaidi-Ardestani, M. & Giese, M. A. (2021). A Dynamical Generative Model of Social Interactions. Frontiers in Neurorobotics, 15, 62.
A Dynamical Generative Model of Social Interactions
Abstract:

The ability to make accurate social inferences makes humans able to navigate and act in their social environment effortlessly. Converging evidence shows that motion is one of the most informative cues in shaping the perception of social interactions. However, the scarcity of parameterized generative models for the generation of highly-controlled stimuli has slowed down both the identification of the most critical motion features and the understanding of the computational mechanisms underlying their extraction and processing from rich visual inputs. In this work, we introduce a novel generative model for the automatic generation of an arbitrarily large number of videos of socially interacting agents for comprehensive studies of social perception. The proposed framework, validated with three psychophysical experiments, allows generating as many as 15 distinct interaction classes. The model builds on classical dynamical system models of biological navigation and is able to generate visual stimuli that are parametrically controlled and representative of a heterogeneous set of social interaction classes. The proposed method represents thus an important tool for experiments aimed at unveiling the computational mechanisms mediating the perception of social interactions. The ability to generate highly-controlled stimuli makes the model valuable not only to conduct behavioral and neuroimaging studies, but also to develop and validate neural models of social inference, and machine vision systems for the automatic recognition of social interactions. In fact, contrasting human and model responses to a heterogeneous set of highly-controlled stimuli can help to identify critical computational steps in the processing of social interaction stimuli.

Authors: Salatiello, Alessandro; Hovaidi-Ardestani, M. Giese, Martin A.
Research Areas: Uncategorized
Type of Publication: Article
Full text: Online version
Gomes, C. A., Steiner, K. M., Ludolph, N., Spisak, T., Ernst, T. M., Mueller, O. et al. (2021). Resection of cerebellar tumours causes widespread and functionally relevant white matter impairments. Hum Brain Mapp. Online ahead of print..
Resection of cerebellar tumours causes widespread and functionally relevant white matter impairments
Authors: Gomes, Carlos Alexandre Steiner, Katharina M Ludolph, Nicolas Spisak, Tamas Ernst, Thomas M Mueller, Oliver Göricke, Sophia L Labrenz, Franziska Ilg, Winfried; Axmacher, Nikolai Timmann, Dagmar
Research Areas: Uncategorized
Type of Publication: Article
Full text: Online version
Mukovskiy, A., Ardestani, M. H., Salatiello, A., Stettler, M. & Giese, M. A. (2021). Physiologically-inspired neural model for social interactions recognition from abstract and naturalistic stimuli.. Göttingen Meeting of the German Neuroscience Society.
Physiologically-inspired neural model for social interactions recognition from abstract and naturalistic stimuli.
Authors: Mukovskiy, Albert; Ardestani, M. H. Salatiello, Alessandro; Stettler, Michael Giese, Martin A.
Research Areas: Uncategorized
Type of Publication: Article
Salatiello, A. & Giese, M. A. (2021). Unsupervised identification of space-, time-, and action-dependent latent factors underlying muscle activity during reaching. 30th Annual Computational Neuroscience Meeting.
Unsupervised identification of space-, time-, and action-dependent latent factors underlying muscle activity during reaching
Research Areas: Uncategorized
Type of Publication: Article

Year: 2020

Vogel, A. P., Magee, M., Torres-Vega, R., Medrano-Montero, J., Cyngler, M. P., Kruse, M. et al. (2020). Features of speech and swallowing dysfunction in pre-ataxic spinocerebellar ataxia type 2. Neurology, 95(2):e194-e205.
Features of speech and swallowing dysfunction in pre-ataxic spinocerebellar ataxia type 2
Authors: Vogel, Adam P. Magee, Michelle Torres-Vega, Reidenis Medrano-Montero, Jacqueline Cyngler, Melissa P. Kruse, Megan Rojas, Sandra Cubillos, Sebastian Contreras Canento, Tamara Maldonado, Fernanda Vazquez-Mojena, Yaimee Ilg, Winfried; Rodríguez-Labrada, Roberto Velázquez-Pérez, Luis Synofzik, Matthis
Type of Publication: Article
Full text: Online version
Steiner, K. M., Thier, W., Batsikadze, G., Ludolph, N., Ilg, W. & Timmann, D. (2020). Lack of effects of a single session of cerebellar transcranial direct current stimulation (tDCS) in a dynamic balance task. Journal of Neurology, 267, pages1206–1208(2020).
Lack of effects of a single session of cerebellar transcranial direct current stimulation (tDCS) in a dynamic balance task
Authors: Steiner, K. M. Thier, W. Batsikadze, G. Ludolph, N. Ilg, Winfried; Timmann, D.
Type of Publication: Article
Full text: PDF | Online version
Pomper, J. K., Spadacenta, S., Bunjes, F., Arnstein, D., Giese, M. A. & Thier, P. (2020). Representation of the observer's predicted outcome value in mirror and nonmirror neurons of macaque F5 ventral premotor cortex. J Neurophysiol, 124(3), 941-961.
Representation of the observer's predicted outcome value in mirror and nonmirror neurons of macaque F5 ventral premotor cortex
Authors: Pomper, Joern K Spadacenta, Silvia Bunjes, Friedemann Arnstein, Daniel Giese, Martin A.; Thier, Peter
Type of Publication: Article
Full text: Online version
Taubert, N., St-Amand, J., Kumar, P., Gizzi, L. & Giese, M. A. (2020). Reactive Hand Movements from Arm Kinematics and EMG Signals Based on Hierarchical Gaussian Process Dynamical Models. Artificial Neural Networks and Machine Learning – ICANN 2020 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part I. Springer, Berlin(127-140).
Reactive Hand Movements from Arm Kinematics and EMG Signals Based on Hierarchical Gaussian Process Dynamical Models
Authors: Taubert, Nick; St-Amand, Jesse Kumar, Prerana; Gizzi, Leonardo Giese, Martin A.
Type of Publication: Article
Full text: Online version
Stettler, M., Taubert, N., Azizpour, T., Siebert, R., Spadacenta, S., Dicke, P. et al. (2020). Physiologically-inspired Neural Circuits for the Recognition of Dynamic Faces. Artificial Neural Networks and Machine Learning – ICANN 2020 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part I. Springer, Berlin(168-179).
Physiologically-inspired Neural Circuits for the Recognition of Dynamic Faces
Authors: Stettler, Michael Taubert, Nick; Azizpour, Tahereh Siebert, Ramona Spadacenta, Silvia Dicke, Peter Thier, Hans Peter Giese, Martin A.
Type of Publication: Article
Full text: Online version
Siebert, R., Taubert, N., Spadacenta, S., Dicke, P. W., Giese, M. A. & Thier, P. (2020). A naturalistic dynamic monkey head avatar elicits species-typical reactions and overcomes the uncanny valley. ENEURO.0524-19.2020.
A naturalistic dynamic monkey head avatar elicits species-typical reactions and overcomes the uncanny valley
Authors: Siebert, Ramona Taubert, Nick; Spadacenta, Silvia Dicke, Peter W. Giese, Martin A.; Thier, Peter
Type of Publication: Article
Full text: Online version
Pfeiffer, F. & Benali, A. (2020). Could non-invasive brain-stimulation prevent neuronal degeneration upon ion channel re-distribution and ion accumulation after demyelination?. Neural Regeneration Research, 15(11), 1977-1980.
Could non-invasive brain-stimulation prevent neuronal degeneration upon ion channel re-distribution and ion accumulation after demyelination?
Abstract:

Fast and efficient transmission of electrical signals in the nervous system is mediated through myelinated nerve fibers. In neuronal diseases such as multiple sclerosis, the conduction properties of axons are disturbed by the removal of the myelin sheath, leaving nerve cells at a higher risk of degenerating. In some cases, the protective myelin sheath of axons can be rebuilt by remyelination through oligodendroglial cells. In any case, however, changes in the ion channel organization occur and may help to restore impulse conduction after demyelination. On the other hand, changes in ion channel distribution may increase the energy demand of axons, thereby increasing the probability of axonal degeneration. Many attempts have been made or discussed in recent years to increase remyelination of affected axons in demyelinating diseases such as multiple sclerosis. These approaches range from pharmacological treatments that reduce inflammatory processes or block ion channels to the modulation of neuronal activity through electrical cortical stimulation. However, these treatments either affect the entire organism (pharmacological) or exert a very local effect (electrodes). Current results show that neuronal activity is a strong regulator of oligodendroglial development. To bridge the gap between global and very local treatments, non-invasive transcranial magnetic stimulation could be considered. Transcranial magnetic stimulation is externally applied to brain areas and experiments with repetitive transcranial magnetic stimulation show that the neuronal activity can be modulated depending on the stimulation parameters in both humans and animals. In this review, we discuss the possibilities of influencing ion channel distribution and increasing neuronal activity by transcranial magnetic stimulation as well as the effect of this modulation on oligodendroglial cells and their capacity to remyelinate previously demyelinated axons. Although the physiological mechanisms underlying the effects of transcranial magnetic stimulation clearly need further investigations, repetitive transcranial magnetic stimulation may be a promising approach for non-invasive neuronal modulation aiming at enhancing remyelination and thus reducing neurodegeneration

Authors: Pfeiffer, F. Benali, Alia
Type of Publication: Article
Full text: PDF | Online version
Salatiello, A. & Giese, M. A. (2020). Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data. Artificial Neural Networks and Machine Learning – ICANN 2020 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part I. Springer, Berlin(874-886).
Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data
Research Areas: Uncategorized
Type of Publication: Article
Full text: Online version
Ilg, W. & Timmann, D. (2020). General Management of Cerebellar Disorders. An Overview. In: Manto M., Gruol D., Schmahmann J., Koibuchi N., Sillitoe R. (eds) Handbook of the Cerebellum and Cerebellar Disorders.Springer, Cham, 1-28.
General Management of Cerebellar Disorders
Authors: Ilg, Winfried; Timmann, Dagmar
Research Areas: Uncategorized
Type of Publication: Article
Full text: Online version
Rauscher, M., Yavari, F., Batsikadze, G., Ludolph, N., Ilg, W., Nitsche, M. et al. (2020). Lack of Cerebellar tDCS Effects on Learning of a Complex Whole Body Dynamic Balance Task in Middle-Aged (50-65 Years) Adults. Neurol. Res. Pract. 2, 38.
Lack of Cerebellar tDCS Effects on Learning of a Complex Whole Body Dynamic Balance Task in Middle-Aged (50-65 Years) Adults
Authors: Rauscher, Manuel Yavari, Fatemeh Batsikadze, Giorgi Ludolph, Nicolas Ilg, Winfried; Nitsche, Michael Timmann, Dagmar Steiner, Katharina Marie
Research Areas: Uncategorized
Type of Publication: Article
Full text: Online version
Petrasch-Parwez, E., Schöbel, A., Benali, A., Moinfar, Z., Förster, E., Br\"une, M. et al. (2020). Lateralization of increased density of Iba1-immunopositive microglial cells in the anterior midcingulate cortex of schizophrenia and bipolar disorder. Eur Arch Psychiatry Clin Neurosci. 2020, Online ahead of print, 270(7), 819-828.
Lateralization of increased density of Iba1-immunopositive microglial cells in the anterior midcingulate cortex of schizophrenia and bipolar disorder
Abstract:

There is increasing evidence from genetic, biochemical, pharmacological, neuroimaging and post-mortem studies that immunological dysregulation plays a crucial role in the pathogenesis of psychoses. The involvement of microglia in schizophrenia and bipolar disorder (BD) has remained controversial, however, since results from various post-mortem studies are still inconclusive. Here, we analyzed the estimated density of microglia of age-matched individuals with schizophrenia (n=17), BD (n=13), and non-psychiatric control subjects (n=17) in the anterior midcingulate cortex (aMCC), a brain area putatively involved in the pathogenesis of psychoses, using ionized calcium binding adaptor molecule 1 (Iba1)—immunohistochemistry. The microglial cells displayed a homogenously distributed Iba1—staining pattern in the aMCC with slightly varying activation states in all three groups. The estimated microglial densities did not difer signifcantly between individuals with schizophrenia, BD and control subjects. Remarkably, when both hemispheres were investigated separately within the three groups, the density was signifcantly lateralized towards the right aMCC in schizophrenia (p=0.01) and—even more evident—in BD subjects (p=0.008). This left–right lateralization was not observed in the control group (p=0.52). Of note, microglial density was signifcantly lower in BD individuals who did not commit suicide compared with BD individuals who died from suicide (p=0.002). This diference was not observed between individuals with BD who committed suicide and controls. The results, tentatively interpreted, suggest a hitherto unknown increased lateralization of microglial density to the right hemisphere in both psychiatric groups. If confrmed in independent samples, lateralization should be considered in all post-mortem studies on microglia. Density diferences between suicide and non-suicide individuals needs further elucidation.

Authors: Petrasch-Parwez, E. Schöbel, A. Benali, Alia; Moinfar, Z. Förster, E. Br\"une, M. Juckel, G.
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF | Online version
Ilg, W., Seemann, J., Giese, M. A., Trasch\"utz, A., Schöls, L., Timmann, D. et al. (2020). Real-life gait assessment in degenerative cerebellar ataxia: Towards ecologically valid biomarkers. Neurology, 95(9):e119-e210.
Real-life gait assessment in degenerative cerebellar ataxia: Towards ecologically valid biomarkers
Authors: Ilg, Winfried; Seemann, Jens; Giese, Martin A.; Trasch\"utz, Andreas Schöls, Ludger Timmann, Dagmar Synofzik, Matthis
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF | Online version
Lang, J., Haas, E., -Schmid, J. H., Anderson, C. J., Pulst, S. M., Giese, M. A. et al. (2020). Detecting and quantifying ataxia-related motor impairments in rodents using markerless motion tracking with deep neural networks. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20) to be held at the Palais des congrès de Montréal, Montréal, Québec, Canada July 20-24, 2020.
Detecting and quantifying ataxia-related motor impairments in rodents using markerless motion tracking with deep neural networks
Authors: Lang, Jana Haas, E -Schmid, Jeannette H\"ubener Anderson, C. J. Pulst, S. M. Giese, Martin A.; Ilg, Winfried
Research Areas: Uncategorized
Type of Publication: Article
Full text: Online version
Huber, M. E., Chiovetto, E., Giese, M. A. & Sternad, D. (2020). Rigid soles improve balance in beam walking, but improvements do not persist with bare feet. Sci Rep, 10(1), 7629.
Rigid soles improve balance in beam walking, but improvements do not persist with bare feet
Authors: Huber, Meghan E Chiovetto, Enrico Giese, Martin A.; Sternad, Dagmar
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF | Online version
Stollenmaier, K., Ilg, W. & Haeufle, D. F. (2020). Predicting perturbed human arm movements in a neuro-musculoskeletal model to investigate the muscular force response. Frontiers in Bioengineering and Biotechnology, section Bionics and Biomimetics, 8(308).
Predicting perturbed human arm movements in a neuro-musculoskeletal model to investigate the muscular force response
Authors: Stollenmaier, Katrin Ilg, Winfried; Haeufle, Daniel F. B.
Research Areas: Uncategorized
Type of Publication: Article
Full text: Online version

Year: 2019

Mohammadi, P., Hoffman, E. M., Dehio, N., Malekzadeh, M. S., Giese, M. A., Tsagarakis, N. G. et al. (2019). Compliant humanoids moving toward rehabilitation applications: Transparent integration of real-time control, whole-body motion generation, and virtual reality. IEEE Robotics & Automation Magazine, 26(4), 83-93.
Compliant humanoids moving toward rehabilitation applications: Transparent integration of real-time control, whole-body motion generation, and virtual reality
Authors: Mohammadi, Pouya Hoffman, Enrico Mingo Dehio, Niels Malekzadeh, Milad S Giese, Martin A.; Tsagarakis, Nikos G Steil, Jochen J
Type of Publication: Article
Fleszar, Z., Mellone, S., Giese, M. A., Tacconi, C., Becker, C., Schöls, L. et al. (2019). Real-time use of audio-biofeedback can improve postural sway in patients with degenerative ataxia. Ann Clin Transl Neurol, 6(2), 285-294.
Real-time use of audio-biofeedback can improve postural sway in patients with degenerative ataxia
Authors: Fleszar, Z Mellone, S Giese, Martin A.; Tacconi, C Becker, C Schöls, L Synofzik, M Ilg, Winfried
Type of Publication: Article
Full text: PDF
Lee, J., Huber, M. E., Chiovetto, E., Giese, M. A., Sternad, D. & Hogan, N. (2019). Human-inspired balance model to account for foot-beam interaction mechanics. 2019 International Conference on Robotics and Automation (ICRA) Palais des congres de Montreal, Montreal, Canada, May 20-24, 2019, 1970-1974.
Human-inspired balance model to account for foot-beam interaction mechanics
Authors: Lee, Jongwoo Huber, Meghan E. Chiovetto, Enrico Giese, Martin A.; Sternad, Dagmar Hogan, Neville
Type of Publication: Article
Full text: PDF
Lederer, S., Dijkstra, T. & Heskes, T. (2019). Additive Dose Response Models: Defining Synergy. Front. Pharmacol, eCollection 2019, 10(1384).
Additive Dose Response Models: Defining Synergy
Authors: Lederer, Simone Dijkstra, Tjeerd Heskes, Tom
Research Areas: Uncategorized
Type of Publication: Article
Full text: Online version
Pfeuffer, J., Sachsenberg, T., Dijkstra, T., Serang, O., Reinert, K. & Kohlbacher, O. (2019). EPIFANY - A method for efficient high-confidence protein inference. bioRxiv 10.1101/734327v1.
EPIFANY - A method for efficient high-confidence protein inference
Authors: Pfeuffer, J Sachsenberg, T Dijkstra, Tjeerd Serang, O Reinert, K Kohlbacher, O
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF | Online version
Weidmann, L., Dijkstra, T., Kohlbacher, O. & Lupas, A. (2019). Where natural protein sequences stand out from randomness. eLife.bioRxiv 706119.
Where natural protein sequences stand out from randomness
Authors: Weidmann, L Dijkstra, Tjeerd Kohlbacher, O Lupas, A
Research Areas: Uncategorized
Type of Publication: Article
van den Brand, J. A., Dijkstra, T. M., Wetzels, J., Stengel, B., Metzger, M., Blankestijn, P. J. et al. (2019). Predicting kidney failure from longitudinal kidney function trajectory: A comparison of models. PLoS ONE 14(5): e0216559.
Predicting kidney failure from longitudinal kidney function trajectory: A comparison of models
Authors: van den Brand, Jan A. J. G. Dijkstra, Tjeerd M. H. Wetzels, Jack Stengel, Be´ne´dicte Metzger, Marie Blankestijn, Peter J. Heerspink, Hiddo J. Lambers Gansevoort, Ron T.
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF | Online version
Ludolph, N., Ernst, T. M., Mueller, O. M., Goericke, S. L., Giese, M. A., Timmann, D. et al. (2019). Cerebellar involvement in learning to balance a cart-pole system. bioRxiv; 10.1101/586990.
Cerebellar involvement in learning to balance a cart-pole system
Authors: Ludolph, Nicolas Ernst, Thomas M. Mueller, Oliver M Goericke, Sophia L Giese, Martin A.; Timmann, Dagmar Ilg, Winfried
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF
Srulijes, K., Klenk, J., Schwenk, M., Schatton, C., Schwickert, L., Teubner-Liepert, K. et al. (2019). Fall Risk in Relation to Individual Physical Activity Exposure in Patients with Different Neurodegenerative Diseases: a Pilot Study. Cerebellum, 18(3), 340-348.
Fall Risk in Relation to Individual Physical Activity Exposure in Patients with Different Neurodegenerative Diseases: a Pilot Study
Authors: Srulijes, Karin Klenk, Jochen Schwenk, Michael Schatton, Cornelia Schwickert, Lars Teubner-Liepert, Kristin Meyer, Miriam C., Srijana K. Maetzler, Walter Becker, Clemens Synofzik, Matthis
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF | Online version

Year: 2018

Mohammadi, P., Malekzadeh, M. S., Kodl, J., Mukovskiy, A., Wigand, D., Giese, M. A. et al. (2018). Real-Time Control of Whole-Body Robot Motion and Trajectory Generation for Physiotherapeutic Juggling in VR. IROS2018, 270-277.
Real-Time Control of Whole-Body Robot Motion and Trajectory Generation for Physiotherapeutic Juggling in VR
Authors: Mohammadi, P. Malekzadeh, M. S. Kodl, Jindrich Mukovskiy, Albert; Wigand, D. Giese, Martin A.; Steil, Jochen
Type of Publication: Article
Full text: PDF | Online version
Junker, M., Endres, D., Sun, Z. P., Dicke, P. W., Giese, M. A. & Thier, P. (2018). Learning from the past: A reverberation of past errors in the cerebellar climbing fiber signal. PLOS Biology, 16(8), e2004344.
Learning from the past: A reverberation of past errors in the cerebellar climbing fiber signal
Abstract:

The cerebellum allows us to rapidly adjust motor behavior to the needs of the situation. It is commonly assumed that cerebellum-based motor learning is guided by the difference between the desired and the actual behavior, i.e., by error information. Not only immediate but also future behavior will benefit from an error because it induces lasting changes of parallel fiber synapses on Purkinje cells (PCs), whose output mediates the behavioral adjustments. Olivary climbing fibers, likewise connecting with PCs, are thought to transport information on instant errors needed for the synaptic modification yet not to contribute to error memory. Here, we report work on monkeys tested in a saccadic learning paradigm that challenges this concept. We demonstrate not only a clear complex spikes (CS) signature of the error at the time of its occurrence but also a reverberation of this signature much later, before a new manifestation of the behavior, suitable to improve it.

Authors: Junker, M Endres, Dominik Sun, Zong Peng Dicke, Peter W. Giese, Martin A.; Thier, Peter
Type of Publication: Article
Full text: Online version

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