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M. Sc. Seemann, Jens

4.534
Section for Computational Sensomotorics
Department of Cognitive Neurology
Hertie Institute for Clinical Brain Research
Centre for Integrative Neuroscience
University Clinic Tübingen
Otfried-Müller-Str. 25
72076 Tübingen, Germany
+497071 2989125
Jens Seemann

Projects

Publications

Seemann, J., Beyme, T., John, N., Harmuth, F., Giese, M. A., Schöls, L. et al. (2025). Capturing longitudinal change in cerebellar ataxia: Context-sensitive analysis of real-life walking increases patient relevance and effect size. Accepted for Movement Disorders in 2025.
Capturing longitudinal change in cerebellar ataxia: Context-sensitive analysis of real-life walking increases patient relevance and effect size
Abstract:

OBJECTIVES: With disease-modifying drugs for degenerative ataxias on the horizon, ecologically valid measures of motor performance that can detect patient-relevant changes in short, trial-like time frames are highly warranted. In this 2-year longitudinal study, we aimed to unravel and evaluate measures of ataxic gait which are sensitive to longitudinal changes in patients{\textquoteright} real life by using wearable sensors. METHODS: We assessed longitudinal gait changes of 26 participants with degenerative cerebellar disease (SARA:9.4{\textpm}4.1) at baseline, 1-year and 2-year follow-up assessment using 3 body-worn inertial sensors in two conditions: (1) laboratory-based walking (LBW); (2) real-life walking (RLW) during everyday living. In the RLW condition, a context-sensitive analysis was performed by selecting comparable walking bouts according to macroscopic gait characteristics, namely bout length and number of turns within a two-minute time interval. Movement analysis focussed on measures of spatio-temporal variability, in particular stride length variability, lateral step deviation, and a compound measure of spatial variability (SPCmp). RESULTS: Gait variability measures showed high test-retest reliability in both walking conditions (ICC \> 0.82). Cross-sectional analyses revealed high correlations of gait measures with ataxia severity (SARA, effect size ρ >= 0.75); and in particular with patients{\textquoteright} subjective balance confidence (ABC score, ρ>=0.71), here achieving higher effect sizes for real-life than lab-based gait measures (e.g. SPCmp: RLW ρ=0.81 vs LBW ρ=0.71). While the clinician-reported outcome SARA showed longitudinal changes only after two years, the gait measure SPCmp revealed changes already after one year with high effect size (rprb=0.80). In the subgroup with spinocerebellar ataxia type 1, 2 or 3 (SCA1/2/3), the effect size was even higher (rprb=0.86). Based on these effect sizes, sample size estimation for the gait measure SPCmp showed a required cohort size of n=42 participants (n=38 for SCA1/2/3 subgroup) for detecting a 50\% reduction of natural progression after one year by a hypothetical intervention, compared to n=254 for the SARA. CONCLUSIONS: Gait variability measures revealed high reliability and sensitivity to longitudinal change in both laboratory-based constrained walking as well as in real-life walking. Due to their ecological validity and larger effect sizes, characteristics of real-life gait recordings are promising motor performance measures as outcomes for future treatment trials.Competing Interest StatementDr Ilg received consultancy honoraria by Ionis Pharmaceuticals, unrelated to the present work. Mr Seemann reports no disclosures. Mrs Beyme reports no disclosures. Mrs John reports no disclosures. Mr Harmuth reports no disclosures. Prof Giese reports no disclosures. Prof Schoels served as advisor for Alexion, Novartis and Vico. He participates as a principal investigator in clinical studies sponsored by Vigil Neuroscience (VGL101-01.001; VGL101-01.002), Vico Therapeutics (VO659-CT01), PTC Therapeutics (PTC743-NEU-003-FA) and Stealth BioTherapeutics (SPIMD-301), all unrelated to the present work. Prof Timmann reports no disclosures. Prof Synofzik has received consultancy honoraria from Ionis, UCB, Prevail, Orphazyme, Biogen, Servier, Reata, GenOrph, AviadoBio, Biohaven, Zevra, Lilly, and Solaxa, all unrelated to the present manuscript. Funding StatementThis work was supported by the International Max Planck Research School for Intelligent Systems (IMPRS-IS) (to J.S.) and the Else Kroener-Fresenius-Stiftung Medical Scientist programme ClinbrAIn (to W.I. and M.G.). as well as the Else Kroener-Fresenius Stiftung Clinician Scientist program PRECISE.net (to M.S.). In addition, this work was supported by the European Union, project European Rare Disease Research Alliance (ERDERA, $\#$ 101156595) (to M.S.).Author DeclarationsI confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.YesThe details of the IRB/oversight body that provided approval or exemption for the research described are given below:Ethics committee/IRB of University Tuebingen, Germany gave ethical approval for this workI confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals.YesI understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).Yes I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable.YesData will be made available upon reasonable request. The authors confirm that the data supporting the findings of this study are available within the article and its Supplementary material. Raw data regarding human participants (e.g. clinical data) are not shared freely to protect the privacy of the human participants involved in this study; no consent for open sharing has been obtained.

Authors: Seemann, Jens; Beyme, Theresa John, Natalie Harmuth, Florian Giese, Martin A.; Schöls, Ludger Timmann, Dagmar Synofzik, Matthis Ilg, Winfried
Type of Publication: Article
Journal: Accepted for Movement Disorders in 2025
Year: 2025
Beichert, L., Seemann, J., Kessler, C., Traschütz, A., Müller, D., Dillmann-Jehn, K. et al. (2024). Towards patient-relevant, trial-ready digital motor outcomes for SPG7: a cross-sectional prospective multi-center study (PROSPAX). MedRxiv preprint.
Towards patient-relevant, trial-ready digital motor outcomes for SPG7: a cross-sectional prospective multi-center study (PROSPAX)
Abstract:

Background and Objectives With targeted treatment trials on the horizon, identification of sensitive and valid outcome measures becomes a priority for the >100 spastic ataxias. Digital-motor measures, assessed by wearable sensors, are prime outcome candidates for SPG7 and other spastic ataxias. We here aimed to identify candidate digital-motor outcomes for SPG7 – as one of the most common spastic ataxias – that: (i) reflect patient-relevant health aspects, even in mild, trial-relevant disease stages; (ii) are suitable for a multi-center setting; and (iii) assess mobility also during uninstructed walking simulating real-life.

Authors: Beichert, Lukas Seemann, Jens; Kessler, Christoph Traschütz, Andreas Müller, Doreen Dillmann-Jehn, Katrin Ricca, Ivana Satolli, Sara Başak, Ayşe Nazli Coarelli, Giulia Timmann, Dagmar Gagnon, Cynthia van de Warrenburg, Bart P. Ilg, Winfried; Synofzik, Matthis Schüle, Rebecca
Type of Publication: Article
Pellerin, D., Seemann, J., Traschütz, A., Brais, B., Ilg, W. & Synofzik, M. (2024). Reduced Age-Dependent Penetrance of a Large FGF14 GAA Repeat Expansion in a 74-Year-Old Woman from a German Family with SCA27BD. Movement Disorders, n/a(n/a).
Reduced Age-Dependent Penetrance of a Large FGF14 GAA Repeat Expansion in a 74-Year-Old Woman from a German Family with SCA27BD
Authors: Pellerin, David Seemann, Jens; Traschütz, Andreas Brais, Bernard Ilg, Winfried; Synofzik, Matthis
Type of Publication: Article
Seemann, J., Daghsen, L., Cazier, M., Lamy, J.-C., Welter, M.-L., Giese, M. A. et al. (2024). Digital gait measures capture 1-year progression in early-stage spinocerebellar ataxia type 2. Movement disorders : official journal of the Movement Disorder Society.
Digital gait measures capture 1-year progression in early-stage spinocerebellar ataxia type 2
Abstract:

BACKGROUND With disease-modifying drugs in reach for cerebellar ataxias, fine-grained digital health measures are highly warranted to complement clinical and patient-reported outcome measures in upcoming treatment trials and treatment monitoring. These measures need to demonstrate sensitivity to capture change, in particular in the early stages of the disease.OBJECTIVE To unravel gait measures sensitive to longitudinal change in the - particularly trial-relevant- early stage of spinocerebellar ataxia type 2 (SCA2).METHODS Multi-center longitudinal study with combined cross-sectional and 1-year interval longitudinal analysis in early-stage SCA2 participants (n=23, including 9 pre-ataxic expansion carriers; median ATXN2 CAG repeat expansion 38{\textpm}2; median SARA [Scale for the Assessment and Rating of Ataxia] score 4.83{\textpm}4.31). Gait was assessed using three wearable motion sensors during a 2-minute walk, with analyses focusing on gait measures of spatiotemporal variability shown sensitive to ataxia severity, e.g. lateral step deviation.RESULTS We found significant changes for gait measures between baseline and 1-year follow-up with large effect sizes (lateral step deviation p=0.0001, effect size rprb=0.78), whereas the SARA score showed no change (p=0.67). Sample size estimation indicates a required cohort size of n=43 to detect a 50\% reduction in natural progression. Test-retest reliability and Minimal Detectable Change analysis confirm the accuracy of detecting 50\% of the identified 1-year change.CONCLUSIONS Gait measures assessed by wearable sensors can capture natural progression in early-stage SCA2 within just one year {\textendash} in contrast to a clinical ataxia outcome. Lateral step deviation thus represents a promising outcome measure for upcoming multi-centre interventional trials, particularly in the early stages of cerebellar ataxia.Competing Interest StatementJ. Seemann, L. Daghsen, M. Cazier, J. Lamy, ML. Welter, A. Giese, and G. Coarelli report no disclosures. Prof. Durr serves as an advisor to Critical Path Ataxia Therapeutics Consortium and her institution (Paris Brain institute) receives her consulting fees from Pfizer, Huntix, UCB, Reata, PTC Therapeutics as well as research grants from the NIH, Biogen, Servier, and the National Clinical Research Program and she holds partly a Patent B 06291873.5 on Anaplerotic Therapy of Huntington{\textquoteright}s Disease and other polyglutamine diseases (2006). Prof. Synofzik has received consultancy honoraria from Ionis, UCB, Prevail, Orphazyme, Servier, Reata, GenOrph, AviadoBio, Biohaven, Zevra, and Lilly, all unrelated to the present manuscript. Dr. Ilg received consultancy honoraria by Ionis Pharmaceuticals, unrelated to the present work. Funding StatementWe would like to thank all the participants including in this study. We would like to thank BIOGEN and IONIS which funded the NCT04288128 study and INSERM, which sponsored the NCT04288128 study (to A. D.). This work was supported by the International Max Planck Research School for Intelligent Systems (IMPRS-IS) (to J.S.) and the Else Kroener-Fresenius-Stiftung Medical Scientist programme ClinbrAIn (to W.I.), as well as the Else Kroener-Fresenius Stiftung Clinician Scientist programme PRECISE.net (to M.S.). Work on this project was supported, in part, by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) No 441409627, as part of the PROSPAX consortium under the frame of EJP RD, the European Joint Programme on Rare Diseases, under the EJP RD COFUND-EJP 825575 (to M.S. and A.D.).Author DeclarationsI confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.YesThe details of the IRB/oversight body that provided approval or exemption for the research described are given below:Ethics committee/IRB of Sorbonne universite and University Tuebingen, Germany gave ethical approval for this workI confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals.YesI understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).YesI have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable.YesData will be made available upon reasonable request. The authors confirm that the data supporting the findings of this study are available within the article. Raw data regarding human subjects (e.g. clinical data) are not shared freely to protect the privacy of the human subjects involved in this study; no consent for open sharing has been obtained.

Authors: Seemann, Jens; Daghsen, Lina Cazier, Mathieu Lamy, Jean-Charles Welter, Marie-Laure Giese, Martin A.; Synofzik, Matthis Durr, Alexandra Ilg, Winfried; Coarelli, Giulia
Type of Publication: Article
Seemann, J., Traschütz, A., Ilg, W. & Synofzik, M. (2023). 4‐Aminopyridine improves real‐life gait performance in SCA27B on a single‐subject level: a prospective n‐of‐1 treatment. Journal of Neurology (published online 13 July 2023).
4‐Aminopyridine improves real‐life gait performance in SCA27B on a single‐subject level: a prospective n‐of‐1 treatment
Authors: Seemann, Jens; Traschütz, Andreas Ilg, Winfried; Synofzik, Matthis
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF
Seemann, J., Loris, T., Weber, L., Synofzik, M., Giese, M. A. & Ilg, W. (2023). One Hip Wonder: 1D-CNNs Reduce Sensor Requirements for Everyday Gait Analysis. Accepted for ICANN 2023.
One Hip Wonder: 1D-CNNs Reduce Sensor Requirements for Everyday Gait Analysis
Abstract:

Abstract. Wearable inertial measurement units (IMU) enable largescale multicenter studies of everyday gait analysis in patients with rare neurodegenerative diseases such as cerebellar ataxia. To date, the quantity of sensors used in such studies has involved a trade-off between data quality and clinical feasibility. Here, we apply machine learning techniques to potentially reduce the number of sensors required for real-life gait analysis from three sensors to a single sensor on the hip. We trained 1D-CNNs on constrained walking data from individuals with cerebellar ataxia and healthy controls to generate synthetic foot data and predict gait features from a single sensor and tested them in free walking conditions, including the everyday life of unseen subjects. We compare 14 stride-based gait features (e.g. stride length) with three sensors (two on the feet and one on the hip) with our approach estimating the same features based on raw IMU-data from a single sensor placed on the hip. Leveraging layer-wise relevance propagation (LRP) and transfer learning, we determine driving elements of the input signals to predict individuals’ gait features. Our approach achieved a relative error (

Type of Publication: Article
Full text: PDF
Seemann, J., Ilg, W., Giese, M. A. & Synofzik, M (2023). Context-sensitive longitudinal analysis of real-life walking reveals one-year change in degenerative cerebellar disease . International Symposium on Posture and Gait Research, JULY 9 – 13, BRISBANE, AUSTRALIA.
Context-sensitive longitudinal analysis of real-life walking reveals one-year change in degenerative cerebellar disease
Abstract:

BACKGROUND AND AIM: With disease-modifying drugs on the horizon for degenerative ataxias, ecologically valid motor biomarkers are highly warranted, which detect longitudinal changes in short, trial-like time-frames. In this observational study, we aim to unravel biomarkers of ataxic gait which are sensitive for longitudinal changes in real life by using wearable sensors. We hypothesize that, gait measures captured in patients' real life could be more sensitive to progression in short, trial-like time-frames compared to lab-based gait assessments and clinical rating scales. However, in real life walking, gait measures are substantially influenced by contextual and environmental factors, as it has been shown in healthy subjects as well as for different patient populations. Thus, we introduce a context-sensitive matching procedure of individual walking bouts to reveal disease-related rather than purely context-driven longitudinal changes in variability measures. METHODS: We assessed longitudinal gait changes of 24 subjects with degenerative cerebellar disease (SARA:9.4±4.1) at baseline and 1-year and 2-year follow-up assessment by 3 body-worn inertial sensors in two conditions: (1) laboratory-based walking; (2) real-life walking during everyday living. In the real-life walking condition, a context-sensitive analysis was performed by selecting comparable walking bouts according to macroscopic gait characteristics namely bout length and number of turns within a two-minutes time interval. Movement analysis focussed on measures of spatio-temporal variability, in particular lateral step deviation (LD) and a compound measure of spatial variability (SPcmp). RESULTS: Cross-sectional analyses revealed high correlation to ataxia severity (SARA) and patients subjective balance confidence (ABC Scale) in both conditions (r > 0.8). While clinical ataxia score and gait measure in lab-based gait assessments identified changes after two years only (SARA: rprb = 0.71; LD: rprb = 0.67) in real life gait assessment the features of lateral step deviation and a compound measure of spatial step variability identified changes already prb after one year with high effect sizes (LD: rprb = 0.66; SPcmp: rprb = 0.68) and increased effect sizes after two years (LD: rprb = 0.77; SPcmp: rprb = 0.82). CONCLUSIONS: Utilizing a context-sensitive matching procedure, real-life gait measures capture longitudinal change within short trial-like time frames like 1 year with high effect size. In contrast, clinical scores like the SARA as well as lab-based gait measures show longitudinal change only after two years. Thus, features of real-life gait constitute promising biomarkers for upcoming therapeutical trials, delivering ecologically validity as well as increased effect sizes in comparison with clinical scores and lab-based gait assessment.

Authors: Seemann, Jens; Ilg, Winfried; Giese, Martin A.; Synofzik, Matthis
Research Areas: Uncategorized
Type of Publication: In Collection
Publisher: International Symposium on Posture and Gait Research, JULY 9 – 13, BRISBANE, AUSTRALIA
Ilg, W., Seemann, J., Sarvestan, J., Din, S. D., Synofzik, M. & Alcock, L (2023). Inertial sensors on the feet, rather than lumbar sensor only, increase sensitivity of spatio- temporal gait measures to longitudinal progression in ataxia. . International Symposium on Posture and Gait Research, JULY 9 – 13, BRISBANE, AUSTRALIA.
Inertial sensors on the feet, rather than lumbar sensor only, increase sensitivity of spatio- temporal gait measures to longitudinal progression in ataxia.
Authors: Ilg, Winfried; Seemann, Jens; Sarvestan, Javad Din, Silvia Del Synofzik, Matthis Alcock, Lisa
Research Areas: Uncategorized
Type of Publication: In Collection
Full text: PDF
Seemann, J., Loris, T., Weber, L., Giese, M. A. & Ilg, W (2023). Can machine learning techniques reduce the number of inertial sensors in real life gait analysis? . International Symposium on Posture and Gait Research, JULY 9 – 13, BRISBANE, AUSTRALIA.
Can machine learning techniques reduce the number of inertial sensors in real life gait analysis?
Abstract:

BACKGROUND AND AIM: The optimal number of inertial sensors for real-life gait analysis is a trade-off between data quality and patient convenience and feasibility. One-sensor systems have proven to deliver reliable information for average values of gait speed or step length. However, for the ataxic-sensitive measures of spatio-temporal gait variability, these systems reported less reliability and less sensitivity compared to 3 sensor systems including two sensors at the feet. Here, we investigate the potential of machine learning techniques to predict gait features based on 1 sensor only, which could increase the clinical feasibility of instrumented gait analysis in real-life recordings of cerebellar ataxic patients. METHODS: We recorded gait data from 44 healthy controls and 55 cerebellar patients at baseline, 1-year and 2-years follow-up assessments by 3 Opal APDM inertial sensors. These data successful identified longitudinal changes in gait variability measures for cerebellar patients (e.g. stride length variability, effect size: 0.53) Utilising 1D convolutional neural networks (1D-CNN) we predicted 14 gait parameters from stride based triaxial IMU data in two conditions with different input dimensions: using raw data from the pelvis sensor only (1S) in comparison to the complete set of all three sensors (3S). Thus, in the supervised training phase of both conditions, we used stride based gait features previously determined by the 3 sensors algorithm from APDM as ground truth. Aim in both approaches is to individualize the learned mappings for a new unseen patient based on a small amount of recorded gait samples with 3 sensors in the lab and to use transfer learning for the characterisation of real-life data. RESULTS: First results deliver a low (

Authors: Seemann, Jens; Loris, Tim Weber, Lukas Giese, Martin A.; Ilg, Winfried
Research Areas: Uncategorized
Type of Publication: In Collection
Full text: PDF
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
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
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
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
Ilg, W., Seemann, J. & Synofzik, M (2019). Unravelling quantitative measures of free-living ataxic gait in cerebellar patients using wearable sensors. In: International Symposium on Posture and Gait Research Edinburgh: 2019, P1-Q-139, 192 .
Unravelling quantitative measures of free-living ataxic gait in cerebellar patients using wearable sensors
Authors: Ilg, Winfried; Seemann, Jens; Synofzik, Matthis
Research Areas: Uncategorized
Type of Publication: In Collection
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