Article
Neurosciences
Sha Zhu, Zhuang Wu, Yaxi Wang, Yinyin Jiang, Ruxin Gu, Min Zhong, Xu Jiang, Bo Shen, Jun Zhu, Jun Yan, Yang Pan, Li Zhang
Summary: This study investigated gait impairment in the early and progressive stages of Parkinson's disease using a wearable sensor-based gait analysis system. The results showed significant differences in gait parameters such as stride length, gait velocity, and joint range of motion between Parkinson's disease patients and healthy controls at different stages. These gait parameters were also found to be correlated with Parkinson's disease rating scales and questionnaires.
Article
Chemistry, Analytical
Julius Welzel, David Wendtland, Elke Warmerdam, Robbin Romijnders, Morad Elshehabi, Johanna Geritz, Daniela Berg, Clint Hansen, Walter Maetzler
Summary: Current research on Parkinson's disease is focusing on identifying objective markers for assessing therapy effects and disease progression. This study found that step length has a significant impact on PD progression, while step time shows minimal change, emphasizing the importance of evaluating quantitative gait parameters for making assumptions about disease progression in chronic progressive diseases like PD.
Article
Chemistry, Multidisciplinary
Paola Pierleoni, Sara Raggiunto, Alberto Belli, Michele Paniccia, Omid Bazgir, Lorenzo Palma
Summary: In this study, a continuous monitoring system based on a wearable sensor and gait parameter evaluation algorithm was proposed for movement monitoring in patients with Parkinson's disease. The results showed that the algorithm achieved good accuracy in both laboratory and home environments.
APPLIED SCIENCES-BASEL
(2022)
Article
Clinical Neurology
Shinuan Lin, Chao Gao, Hongxia Li, Pei Huang, Yun Ling, Zhonglue Chen, Kang Ren, Shengdi Chen
Summary: This study used machine learning based on gait and postural transition parameters to differentiate early-stage Parkinson's disease (PD) from essential tremor (ET). The results showed that by combining wearable sensors and machine learning, it is possible to successfully distinguish between these two disorders.
JOURNAL OF NEUROLOGY
(2023)
Article
Clinical Neurology
Hui Wang, Binbin Hu, Juan Huang, Lin Chen, Min Yuan, Xingfu Tian, Ting Shi, Jiahao Zhao, Wei Huang
Summary: The study aimed to analyze the clinical features and gait characteristics of PD patients with fatigue and develop a model to identify fatigue in the early stages of PD. The results showed that PD patients with fatigue had more severe impairment of motor symptoms and fatigue became more pronounced as the disease progressed. Combining clinical characteristics and gait cycle parameters can identify PD patients at high risk of fatigue.
FRONTIERS IN NEUROLOGY
(2023)
Article
Multidisciplinary Sciences
Atsuhiro Matsuno, Akira Matsushima, Masashi Saito, Kazumi Sakurai, Katsuyuki Kobayashi, Yoshiki Sekijima
Summary: LSVT-BIG therapy has a positive effect on gait function, specifically improving gait speed and stride length. This improvement is likely related to the enlargement of flexion and extension angles and range of motion in the hip joint.
Article
Clinical Neurology
Raphael Scherbaum, Andreas Moewius, Judith Oppermann, Johanna Geritz, Clint Hansen, Ralf Gold, Walter Maetzler, Lars Toenges
Summary: This study found that wearable device-based parameters (DBP) can objectively describe gait and balance impairment in Parkinson's disease (PD) and are correlated with clinical scores. PD-MCT significantly improves gait velocity and stride length and has a positive impact on other DBP. Motor complications and fear of falling may influence the response to PD-MCT. The results of this study suggest that a DBP-based assessment can provide more individualized therapy and improve outcomes for PD patients.
JOURNAL OF NEUROLOGY
(2022)
Article
Biology
Yuzhu Guo, Debin Huang, Wei Zhang, Lipeng Wang, Yang Li, Gabriella Olmo, Qiao Wang, Fangang Meng, Piu Chan
Summary: This study proposes a wearable FoG detection method that combines acceleration and EEG information for accurate FoG detection. Experimental results show that pseudo-multimodal features achieve the most promising performance, with high detection accuracy and stability. The study suggests that wearable FoG detection can be enhanced through cross-modal information fusion, providing a new method for multimodal information fusion and long-term monitoring of FoG in living environments.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Clinical Neurology
Victoria Sidoroff, Cecilia Raccagni, Christine Kaindlstorfer, Sabine Eschlboeck, Alessandra Fanciulli, Roberta Granata, Bjorn Eskofier, Klaus Seppi, Werner Poewe, Johann Willeit, Stefan Kiechl, Philipp Mahlknecht, Heike Stockner, Kathrin Marini, Oliver Schorr, Gregorio Rungger, Jochen Klucken, Gregor Wenning, Heiko Gassner
Summary: The study compared gait variability at different walking speeds between patients with Parkinson-variant multiple system atrophy, idiopathic Parkinson's disease, and a control group of older adults. Multiple system atrophy patients displayed higher gait variability in various parameters compared to controls, while Parkinson's patients did not. Variability parameters were significantly correlated with the postural instability/gait difficulty subscore in both disease groups.
JOURNAL OF NEUROLOGY
(2021)
Article
Engineering, Biomedical
Sana M. Keloth, Sridhar P. Arjunan, Sanjay Raghav, Dinesh Kant Kumar
Summary: The study found that people with early-stage PD exhibit high asymmetry, reduced modulation, and higher co-activation during walking. They have reduced muscle activity, ability to inhibit antagonist, and modulate their muscle activities, which suggests a potential for diagnosing and regularly assessing gait impairments in PD patients using wearable sensors.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
Article
Biology
Junxiao Xie, Huan Zhao, Junyi Cao, Qiumin Qu, Hongmei Cao, Wei-Hsin Liao, Yaguo Lei, Linchuan Guo
Summary: In order to improve the effectiveness of clinical diagnosis, a wearable multisource gait monitoring system is developed to quantify gait abnormalities in patients with Parkinson's disease (PD). The system integrates force sensitive sensors, piezoelectric sensors, and inertial measurement units to collect and transmit gait data. Features extracted from each type of data can quantify the health status of the subjects and the validity of multisource gait data is verified. This system has potential in gait analysis and objective evaluation of PD.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Chemistry, Analytical
Andrea Marcante, Roberto Di Marco, Giovanni Gentile, Clelia Pellicano, Francesca Assogna, Francesco Ernesto Pontieri, Gianfranco Spalletta, Lucia Macchiusi, Dimitris Gatsios, Alexandros Giannakis, Maria Chondrogiorgi, Spyridon Konitsiotis, Dimitrios I. Fotiadis, Angelo Antonini
Summary: A novel system based on pressure insoles equipped with a 3D accelerometer has been validated for detecting freezing of gait in Parkinson's Disease patients with a high accuracy rate of 90% in clinical settings and ecological tasks.
Article
Chemistry, Analytical
Vassilis Tsakanikas, Adamantios Ntanis, George Rigas, Christos Androutsos, Dimitrios Boucharas, Nikolaos Tachos, Vasileios Skaramagkas, Chariklia Chatzaki, Zinovia Kefalopoulou, Manolis Tsiknakis, Dimitrios Fotiadis
Summary: Parkinson's disease is a complex disease with motor and non-motor symptoms, some of which affect gait and balance. Monitoring patients' mobility and extracting gait parameters using sensors has become a reliable method for evaluating treatment efficacy and disease progression. The use of insoles and body-worn IMU-based devices has been evaluated in this study for assessing gait impairment, and both have shown promise for accurate machine learning-based detection of PD gait impairment.
Article
Clinical Neurology
Jiahao Zhao, Ying Wan, Lu Song, Na Wu, Zien Zhang, Zhenguo Liu, Jing Gan
Summary: A risk prediction model for the future onset of freezing of gait (FOG) in Parkinson's disease (PD) patients has been developed based on a multicenter cohort study in China. Duration of the disease, levodopa dosage, and severity of depressive symptoms were identified as the strongest predictors of future FOG onset.
FRONTIERS IN NEUROLOGY
(2022)
Article
Clinical Neurology
Beata Lindholm, Christina Brogardh, Per Odin, Peter Hagell
Summary: The study identified predictors for falls/near falls in Parkinson’s disease, including history of falls, abnormal tandem gait, and lower MMSE scores. These factors not only affect the fall risk in the short term but also in the long term among patients with PD.
JOURNAL OF NEUROLOGY
(2021)
Article
Medicine, Research & Experimental
Agnes Langer, Lara Lucke-Paulig, Lucia Gassner, Rejko Krueger, Daniel Weiss, Alireza Gharabaghi, Heidemarie Zach, Walter Maetzler, Markus A. Hobert
Summary: This study compared the effects of deep brain stimulation and dopaminergic medication on gait parameters in patients with advanced Parkinson disease. The results showed that dopaminergic medication had larger additional effects on gait parameters under both single-tasking and dual-tasking conditions, while deep brain stimulation only improved specific gait parameters.
Article
Geriatrics & Gerontology
Laura Delgado-Ortiz, Ashley Polhemus, Alison Keogh, Norman Sutton, Werner Remmele, Clint Hansen, Felix Kluge, Basil Sharrack, Clemens Becker, Thierry Troosters, Walter Maetzler, Lynn Rochester, Anja Frei, Milo A. Puhan, Judith Garcia-Aymerich
Summary: This study examined the personal experiences of individuals living with walking impairment and identified seven themes describing the walking experience across different health conditions. A novel conceptual framework was proposed to guide patient-centered clinical practice, research, and public health.
Article
Clinical Neurology
Ulf Jensen-Kondering, Nils G. Margraf, Caroline Weiler, Walter Maetzler, Justina Dargvainiene, Kim Falk, Sarah Philippen, Thorsten Bartsch, Charlotte Flueh, Christoph Roecken, Bettina Moeller, Georg Royl, Alexander Neumann, Norbert Brueggemann, Benjamin Roeben, Claudia Schulte, Benjamin Bender, Daniela Berg, Gregor Kuhlenbaeumer
Summary: This study compared the clinical, radiological, and cerebrospinal fluid marker data of patients with CAA, MLH, AD, and healthy controls. The results showed that cSS was more common in CAA, and MLH with cSS was associated with ICH. The concentrations of cerebrospinal fluid markers differed among the groups.
INTERNATIONAL JOURNAL OF STROKE
(2023)
Article
Clinical Neurology
Bernd Leplow, Daniela Renftle, Mareike Thomas, Katja Michaelis, Susanne Solbrig, Walter Maetzler, Daniela Berg, Inga Liepelt-Scarfone
Summary: Impulse control disorders (ICD) frequently occur in Parkinson's disease (PD), not always as a direct consequence of medication. This study investigated premorbid personality traits and behavioral characteristics in non-demented PD patients with self-reported symptoms of ICD (PD-srICD). It was found that patients with PD-srICD had similarities with substance use disorder patients, and thorough psychological diagnostics are recommended.
JOURNAL OF NEURAL TRANSMISSION
(2023)
Article
Clinical Neurology
Eva-Juliane Vollstedt, Susen Schaake, Katja Lohmann, Shalini Padmanabhan, Alexis Brice, Suzanne Lesage, Christelle Tesson, Marie Vidailhet, Isabel Wurster, Faycel Hentati, Anat Mirelman, Nir Giladi, Karen Marder, Cheryl Waters, Stanley Fahn, Meike Kasten, Norbert Bruggemann, Max Borsche, Tatiana Foroud, Eduardo Tolosa, Alicia Garrido, Grazia Annesi, Monica Gagliardi, Maria Bozi, Leonidas Stefanis, Joaquim J. Ferreira, Leonor Correia Guedes, Micol Avenali, Simona Petrucci, Lorraine Clark, Ekaterina Y. Fedotova, Natalya Y. Abramycheva, Victoria Alvarez, Manuel Menendez-Gonzalez, Silvia Jesus Maestre, Pilar Gomez-Garre, Pablo Mir, Andrea Carmine Belin, Caroline Ran, Chin-Hsien Lin, Ming-Che Kuo, David Crosiers, Zbigniew K. Wszolek, Owen A. Ross, Joseph Jankovic, Kenya Nishioka, Manabu Funayama, Jordi Clarimon, Caroline H. Williams-Gray, Marta Camacho, Mario Cornejo-Olivas, Luis Torres-Ramirez, Yih-Ru Wu, Guey-Jen Lee-Chen, Ana Morgadinho, Teeratorn Pulkes, Pichet Termsarasab, Daniela Berg, Gregor Kuhlenbaumer, Andrea A. Kuhn, Friederike Borngraeber, Giuseppe de Michele, Anna De Rosa, Alexander Zimprich, Andreas Puschmann, George D. Mellick, Jolanta Dorszewska, Jonathan Carr, Rosangela Ferese, Stefano Gambardella, Bruce Chase, Katerina Markopoulou, Wataru Satake, Tatsushi Toda, Malco Rossi, Marcelo Merello, Timothy Lynch, Diana A. Olszewska, Shen-Yang Lim, Azlina Ahmad-Annuar, Ai Huey Tan, Bashayer Al-Mubarak, Hasmet Hanagasi, Dariusz Koziorowski, Sibel Ertan, Gencer Genc, Patricia de Carvalho Aguiar, Melinda Barkhuizen, Marcia M. G. Pimentel, Rachel Saunders-Pullman, Bart van de Warrenburg, Susan Bressman, Mathias Toft, Silke Appel-Cresswell, Anthony E. Lang, Matej Skorvanek, Agnita J. W. Boon, Rejko Kruger, Esther M. Sammler, Vitor Tumas, Bao-Rong Zhang, Gaetan Garraux, Sun Ju Chung, Yun Joong Kim, Juliane Winkelmann, Carolyn M. Sue, Eng-King Tan, Joana Damasio, Peter Klivenyi, Vladimir S. Kostic, David Arkadir, Mika Martikainen, Vanderci Borges, Jens Michael Hertz, Laura Brighina, Mariana Spitz, Oksana Suchowersky, Olaf Riess, Parimal Das, Brit Mollenhauer, Emilia M. Gatto, Maria Skaalum Petersen, Nobutaka Hattori, Ruey-Meei Wu, Sergey N. Illarioshkin, Enza Maria Valente, Jan O. Aasly, Anna Aasly, Roy N. Alcalay, Avner Thaler, Matthew J. Farrer, Kathrin Brockmann, Jean-Christophe Corvol, Christine Klein
Summary: Through a worldwide online survey, we established an international cohort of individuals with PD-linked variants, providing harmonized and quality-controlled clinical and genetic data for each participant and promoting collaboration among researchers in the field of monogenic PD.
MOVEMENT DISORDERS
(2023)
Article
Geriatrics & Gerontology
Markus A. Hobert, Daniel Bruhn, Jakob Koch, Simone Studt
Summary: This case report describes the successful treatment of an 82-year-old patient with a multifactorial gait disorder and falls in a gerontological psychiatric ward. The patient's gait disorder, mainly caused by depression and fear of falling, improved significantly with a multimodal treatment approach that included electroconvulsive therapy (ECT).
ZEITSCHRIFT FUR GERONTOLOGIE UND GERIATRIE
(2023)
Article
Medicine, General & Internal
Constanze Stolz-Klingenberg, Claudia Buenzen, Marie Coors, Charlotte Flueh, Klarissa Hanja Stuerner, Kai Wehkamp, Marla L. Clayman, Fueloep Scheibler, Jens Ulrich Rueffer, Wiebke Schuettig, Leonie Sundmacher, Daniela Berg, Friedemann Geiger
Summary: SHARE TO CARE (S2C) is a comprehensive program aimed at promoting shared decision making (SDM). It has been successfully implemented at the University Hospital Schleswig-Holstein in Kiel, Germany, and among general practitioners in the Federal State of Bremen. The results of the implementation showed an increase in patients' perceived involvement in medical decision making.
PATIENT PREFERENCE AND ADHERENCE
(2023)
Article
Health Care Sciences & Services
Edoardo Bianchini, Elke Warmerdam, Robbin Romijnders, Klarissa Hanja Stuerner, Ralf Baron, Sebastian Heinzel, Francesco Ernesto Pontieri, Clint Hansen, Walter Maetzler
Summary: Using a smartphone while walking can lead to en bloc turning, increasing the risk of falls. This turning behavior is particularly dangerous for individuals with Parkinson disease and may be used to differentiate individuals with lower-back pain and early Parkinson disease.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Article
Chemistry, Analytical
Johannes Hoffmann, Sebastian Roldan-Vasco, Karolin Krueger, Florian Niekiel, Clint Hansen, Walter Maetzler, Juan Rafael Orozco-Arroyave, Gerhard Schmidt
Summary: This study presents a novel approach for evaluating swallowing using magnetic sensors and actuators. The results show the detection capability of swallowing-related movements and suggest the potential for dysphagia screening and biofeedback-based therapies.
Article
Psychology, Multidisciplinary
Lydia Kastner, Ulrike Suenkel, Gerhard W. Eschweiler, Theresa Dankowski, Anna-Katharina von Thaler, Christian Mychajliw, Kathrin Brockmann, Walter Maetzler, Daniela Berg, Andreas J. Fallgatter, Sebastian Heinzel, Ansgar Thiel
Summary: Older age is a major risk factor for severe COVID-19. In 2020, there was a broad political debate on whether older adults need special protection and isolation to minimize their risk of SARS-CoV-2 infection. However, isolation may also have indirect negative psychological or physical consequences depending on individual coping strategies and personality traits.
FRONTIERS IN PSYCHOLOGY
(2023)
Meeting Abstract
Clinical Neurology
R. Yilmaz, R. Wolke, N. Puls, M. Sorgun, G. Deuschl, D. Berg, N. Margraf
MOVEMENT DISORDERS
(2023)
Meeting Abstract
Clinical Neurology
C. Zatti, A. Pilotto, A. Rizzardi, M. Catania, L. Purin, M. Pasolini, C. Hansen, R. Romijnders, E. Schaeffer, A. Galbiati, L. Ferini Strambi, D. Berg, W. Maetzler, A. Padovani
MOVEMENT DISORDERS
(2023)
Meeting Abstract
Clinical Neurology
A. Kluge, E. Schaeffer, K. Brockmann, C. Schulte, C. Deuschle, J. Bunk, W. Maetzler, D. Berg
MOVEMENT DISORDERS
(2023)
Meeting Abstract
Clinical Neurology
I. Liepelt-Scarfone, M. Bode, S. Solbrig, K. Brockmann, W. Maetzler, I. Wurster, M. Timmers, D. Berg, S. Becker
MOVEMENT DISORDERS
(2023)
Meeting Abstract
Clinical Neurology
S. Paschen, J. Becktepe, M. Hobert, K. Zeuner, A. Helmers, D. Berg, G. Deuschl
MOVEMENT DISORDERS
(2023)