Article
Engineering, Biomedical
Huiying Zhu, Yizhao Wang, Naveen Elangovan, Leonardo Cappello, Giulio Sandini, Lorenzo Masia, Juergen Konczak
Summary: This study demonstrates that a single sensory-motor training can rapidly improve proprioceptive acuity and untrained sensorimotor performance at the trained joint. Importantly, these improvements transfer almost fully to the neighboring limb joint system.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2023)
Article
Pediatrics
Collin Kather, Frances S. Shofer, Jeong Inn Park, Daniel Bogen, Samuel R. Pierce, Konrad Kording, Kathleen A. Nilan, Huayan Zhang, Laura A. Prosser, Michelle J. Johnson
Summary: Infants born pre-term are at risk for developmental delays, and early clinical intervention can be effective. A sensor-based play environment was developed to capture infant behavior, and differences in interactions with robotic toys were observed between pre-term and full-term infants.
FRONTIERS IN PEDIATRICS
(2023)
Article
Engineering, Biomedical
Monika Zbytniewska, Christoph M. Kanzler, Lisa Jordan, Christian Salzmann, Joachim Liepert, Olivier Lambercy, Roger Gassert
Summary: In this research, a set of robot-assisted assessment tasks were proposed and validated to distinctly characterize impairments in hand proprioceptive and motor function, as well as capturing their interaction. The robotic tasks showed good reliability and validity in assessing stroke survivors, providing complementary information about a patient's impairment profile.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
Article
Computer Science, Artificial Intelligence
Raphael Raetz, Francois Conti, Rene M. Mueri, Laura Marchal-Crespo
Summary: Research highlights the importance of high training intensity and somatosensory information in neurorehabilitation for stroke patients. The lack of easy-to-use robotic solutions for hand rehabilitation led to the development of a novel clinical-driven robotic device. With a focus on fine haptic rendering and physiological finger movements, the device offers a wide range of motion and high mechanical transparency, making it potentially effective and widely applicable in clinical settings.
FRONTIERS IN NEUROROBOTICS
(2021)
Article
Medicine, General & Internal
Yunhwan Kim, Chanhee Park, Buhyun Yoon, Joshua (Sung) H. You
Summary: This study aimed to compare the effects of human-robotic interactive gait training (HIT) and conventional physiotherapy (CPT) on cognitive and sensorimotor functions, trunk balance and coordination, dynamic and static balance, and activities related to daily living performance in patients with post-stroke dementia (PSD). The results showed that HIT had superior effects to CPT in relation to MMSE, FMA, and TIS, providing promising clinical evidence that HIT significantly improves cognitive and sensorimotor recovery functions, as well as trunk balance and coordination, in patients with PSD.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Neurosciences
Thomas Hassa, Monika Zbytniewska-Megret, Christian Salzmann, Olivier Lambercy, Roger Gassert, Joachim Liepert, Mircea Ariel Schoenfeld
Summary: Lesions dorsal to the internal capsule next to the posterior CST were associated with proprioceptive deficits and may have predictive value. Higher lesion load was correlated with poorer restoration of proprioceptive function. Furthermore, patients with SSEP loss trended towards poor recovery of proprioception, and the corresponding lesions were also located in the same location. These findings suggest that structural imaging of the internal capsule and CST could serve as a recovery predictor of proprioceptive function.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Computer Science, Information Systems
Jiajun Xu, Linsen Xu, Aihong Ji, Kai Cao
Summary: In recent years, the number of hemiplegic patients has rapidly increased, and intelligent robots have shown great potential for rehabilitation. Robotic mirror therapy (RMT) is a promising approach that involves transferring the motion of the healthy limb to the impaired limb using a robot. However, replicating the movement trajectory of the healthy limb without considering the strength of the impaired limb can be unsafe. This study presents a learning-based approach for RMT using dynamic movement primitives (DMPs) and reinforcement learning to optimize the robot's motion.
INFORMATION PROCESSING & MANAGEMENT
(2023)
Article
Neurosciences
Harri Piitulainen, Timo Nurmi, Maria Hakonen
Summary: The early processing of proprioceptive afference in the primary sensorimotor cortex is modulated by attention. Attention to proprioception results in changes in the sensorimotor beta power, movement-evoked field amplitude, and corticokinematic coherence strength in healthy individuals.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2021)
Article
Chemistry, Multidisciplinary
Kailynn Mannella, Giulia A. Albanese, David Ditor, Jacopo Zenzeri, Michael W. R. Holmes
Summary: Robotic training for 4 weeks can improve motor accuracy and muscular strength in patients with multiple sclerosis. The training protocol involves tracking a moving target, resulting in significant improvements in tracking and figural error for participants.
APPLIED SCIENCES-BASEL
(2021)
Review
Chemistry, Multidisciplinary
Nicola Vale, Marialuisa Gandolfi, Laura Vignoli, Anita Botticelli, Federico Posteraro, Giovanni Morone, Antonella Dell'Orco, Eleonora Dimitrova, Elisa Gervasoni, Michela Goffredo, Jacopo Zenzeri, Arianna Antonini, Carla Daniele, Paolo Benanti, Paolo Boldrini, Donatella Bonaiuti, Enrico Castelli, Francesco Draicchio, Vincenzo Falabella, Silvia Galeri, Francesca Gimigliano, Mauro Grigioni, Stefano Mazzon, Franco Molteni, Maurizio Petrarca, Alessandro Picelli, Michele Senatore, Giuseppe Turchetti, Eugenio Guglielmelli, Nicola Petrone, Loris Pignolo, Giulia Sgubin, Nicola Smania, Loredana Zollo, Stefano Mazzoleni, Italian Consensus Conf Robotic Neurorehabilitation CICERONE
Summary: Robot-assisted rehabilitation for gait and balance in children with neurological disabilities has gained increasing interest, but there are still issues with inadequate and inconsistent protocol descriptions in related studies. Future research should focus on improving the descriptions of rehabilitation protocols and devices.
APPLIED SCIENCES-BASEL
(2021)
Article
Neurosciences
Julia Jaatela, Dogu Baran Aydogan, Timo Nurmi, Jaakko Vallinoja, Harri Piitulainen
Summary: Studying white matter connections with tractography is a promising approach to understanding brain development. Different functional seeding methods can have an impact on the characteristics of white matter connections, highlighting the need for using multimodal imaging to obtain a comprehensive understanding.
Article
Health Care Sciences & Services
Valentina Varalta, Paola Poiese, Serena Recchia, Barbara Montagnana, Cristina Fonte, Mirko Filippetti, Michele Tinazzi, Nicola Smania, Alessandro Picelli
Summary: This study investigated the effects of consecutive physiotherapy and cognitive rehabilitation on cognitive, motor, and psychological aspects in Parkinson's disease patients. Results showed that patients who received consecutive training performed better in functional mobility and memory tasks, supporting the hypothesis that consecutive physiotherapy plus cognitive rehabilitation may be more beneficial than physiotherapy alone.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Article
Engineering, Biomedical
Florian Grimm, Jelena Kraugmann, Georgios Naros, Alireza Gharabaghi
Summary: The study demonstrated the validity of a device-assisted approach in assessing severely impaired stroke patients' upper limb movements. Shoulder internal/external rotation was found to be a significant predictor in the clinical status, suggesting its relevance in the evaluation of stroke patients. These findings provide a promising new method for assessing severely impaired stroke patients and should be further validated in larger patient cohorts.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
Article
Neurosciences
Toni Mujunen, Timo Nurmi, Harri Piitulainen
Summary: The study explores the impact of stimulus regularity on corticokinematic coherence (CKC) strength by comparing constant and irregular proprioceptive stimulation sequences. Results show a significant difference in CKC strength between constant and irregular stimuli, with constant stimulation yielding stronger coherence. The findings underscore the importance of temporal stability in proprioceptive stimulation sequence for accurate CKC quantification.
JOURNAL OF NEUROPHYSIOLOGY
(2021)
Article
Clinical Neurology
Theresa Hirsch, Maria Barthel, Pauline Aarts, Yi-An Chen, Susanna Freivogel, Michelle J. Johnson, Theresa A. Jones, Marijtje L. A. Jongsma, Martina Maier, David Punt, Annette Sterr, Steven L. Wolf, Kirstin-Friederike Heise
Summary: Through structured communication among experts, consensus was reached on a transdisciplinary definition of the LNU phenomenon, as well as the description of current diagnostic procedures. However, there is currently a lack of a consistent universal diagnostic approach.
NEUROREHABILITATION AND NEURAL REPAIR
(2021)
Article
Engineering, Biomedical
I-Ling Yeh, Jessica Holst-Wolf, Naveen Elangovan, Anna Vera Cuppone, Kamakshi Lakshminarayan, Leonardo Capello, Lorenzo Masia, Juergen Konczak
Summary: This study provides evidence that non-visual proprioceptive training can lead to rapid improvements in proprioceptive function in chronic stroke survivors. However, it remains inconclusive whether such training transfers to untrained motor tasks.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
Article
Neurosciences
Rossitza Draganova, Viktor Pfaffenrot, Katharina M. Steiner, Sophia L. Goericke, Naveen Elangovan, Dagmar Timmann, Juergen Konczak
Summary: Neurodegeneration of the cerebellum primarily affects cerebellar cortex and leads to a loss of control and coordination of movement. However, compensatory changes in gray matter volume in the cerebellar output nuclei and secondary motor cortex may play a role in addressing this motor deficit.
JOURNAL OF NEUROPHYSIOLOGY
(2021)
Article
Neurosciences
Rossitza Draganova, Frank Konietschke, Katharina M. Steiner, Naveen Elangovan, Meltem Guemues, Sophia M. Goericke, Thomas M. Ernst, Andreas Deistung, Thilo van Eimeren, Juergen Konczak, Dagmar Timmann
Summary: The study found that cerebellar patients can improve motor performance through practice, but the impact of different types of feedback on learning remains unclear. After training, differences in gray matter volume changes were observed between the control group and cerebellar patients, indicating that compensatory remodeling manifests differently in different brain regions.
HUMAN BRAIN MAPPING
(2022)
Article
Clinical Neurology
Andreas Thieme, Jennifer Faber, Patricia Sulzer, Kathrin Reetz, Imis Dogan, Miriam Barkhoff, Janna Krahe, Heike Jacobi, Julia-Elisabeth Aktories, Martina Minnerop, Saskia Elben, Raquel van der Veen, Johanna Mueller, Giorgi Batsikadze, Juergen Konczak, Matthis Synofzik, Sandra Roeske, Dagmar Timmann
Summary: This multicenter study tested the ability of the CCAS-Scale to diagnose CCAS in individual patients with common forms of hereditary ataxia. The results showed that the CCAS-Scale had limited ability to diagnose CCAS in individual patients, especially in milder cases with a substantial number of false-positive results. SCA3 patients performed the worst, with lower scores compared to SCA6 and FRDA patients.
JOURNAL OF NEUROLOGY
(2022)
Correction
Engineering, Biomedical
I. -Ling Yeh, Jessica Holst-Wolf, Naveen Elangovan, Anna Vera Cuppone, Kamakshi Lakshminarayan, Leonardo Cappello, Lorenzo Masia, Juergen Konczak
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2022)
Article
Neurosciences
Jinseok Oh, Arash Mahnan, Jiapeng Xu, Hannah J. Block, Jurgen Konczak
Summary: The typical development of finger position sense from late childhood to adulthood is characterized by an age-dependent increase in proprioceptive precision, rather than a decrease in bias.
JOURNAL OF MOTOR BEHAVIOR
(2023)
Article
Engineering, Biomedical
Qiyin Huang, Bin Zhong, Naveen Elangovan, Mingming Zhang, Jurgen Konczak
Summary: This study presents a fast and accurate method to assess human ankle motion sense acuity using a robotic device. The results show that the perception of ankle motion velocity has a bias, which increases with the reference velocity.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Meeting Abstract
Hospitality, Leisure, Sport & Tourism
Leoni Viola Winter, Stefan Panzer, Jurgen Konczak
JOURNAL OF SPORT & EXERCISE PSYCHOLOGY
(2023)
Article
Neurosciences
Jacquelyn V. L. Sertic, Nicole Fall, Juergen Konczak
Summary: This study investigated whether physically active middle-aged and older adults demonstrate age-related decline in ankle proprioception and found that active aging adults may be spared from this decline, especially for small ankle displacements.
JOURNAL OF MOTOR BEHAVIOR
(2023)
Article
Otorhinolaryngology
Stephanie Misono, Jiapeng Xu, Jinseok Oh, Anna Sombrio, Ali Stockness, Arash Mahnan, Jurgen Konczak
Summary: Unexplained chronic cough is a common condition with significant negative impact on quality of life. This study aimed to investigate whether individuals with chronic cough exhibit abnormal neural processing during voluntary laryngeal motor activity. The findings suggest that chronic cough affects sensorimotor cortical activity during vocalization.
JAMA OTOLARYNGOLOGY-HEAD & NECK SURGERY
(2023)
Meeting Abstract
Hospitality, Leisure, Sport & Tourism
Jacquelyn Sertic, Jurgen Konczak
JOURNAL OF SPORT & EXERCISE PSYCHOLOGY
(2022)
Review
Rehabilitation
Leoni Winter, Qiyin Huang, Jacquelyn V. L. Sertic, Jurgen Konczak
Summary: This study systematically reviewed recent empirical evidence on proprioceptive training and found that it can lead to significant improvements in proprioceptive and motor function, especially in clinical populations. Joint position sense error was identified as a reliable and feasible measure for clinical use.
FRONTIERS IN REHABILITATION SCIENCES
(2022)
Meeting Abstract
Hospitality, Leisure, Sport & Tourism
Yu-ting Tseng, Jurgen Konczak
JOURNAL OF SPORT & EXERCISE PSYCHOLOGY
(2021)
Proceedings Paper
Engineering, Biomedical
Yi Zhu, Arash Mahnan, Jurgen Konczak
Summary: This paper presents a novel linear algorithm for classifying ten distinct neck movements using surface electromyography data with high accuracy. The algorithm outperforms traditional classification methods and can be deployed on low-cost processors and systems. Future research will focus on more complex neck movements and applications in neuromodulation devices.
PROCEEDINGS OF THE 2021 DESIGN OF MEDICAL DEVICES CONFERENCE (DMD2021)
(2021)