Article
Neurosciences
Xupo Xing, Ningdi Luo, Shun Li, Liche Zhou, Chengli Song, Jun Liu
Summary: This study evaluated seven predictive models using machine learning algorithms to differentiate between Parkinson's disease and essential tremor. The results showed that random forest and extreme gradient boosting models had the best predictive ability. The analysis also revealed that the dominant frequency and average amplitude of surface electromyogram signals from flexors, as well as resting and winging postures, had the greatest impact on the diagnosis of Parkinson's disease.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Clinical Neurology
Dongning Su, Fangzhao Zhang, Zhu Liu, Shuo Yang, Ying Wang, Huizi Ma, Brad Manor, Jeffrey M. Hausdorff, Lewis A. Lipsitz, Hua Pan, Tao Feng, Junhong Zhou
Summary: The study investigated the multiscale dynamics of hand tremor in ET and PT patients, revealing lower complexity in ET compared to PT and the potential of complexity metric in distinguishing between the two conditions. Hand tremor complexity was found to be associated with disease duration and severity, serving as a promising diagnostic marker for ET and PT differentiation.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Engineering, Biomedical
Junjie Li, Huaiyu Zhu, Jiaxiang Li, Haotian Wang, Bo Wang, Wei Luo, Yun Pan
Summary: This study proposes a wearable system for assessing upper limb tremor and differentiating between Parkinson's disease and essential tremor. The system collects tremor data from the wrist and fingers simultaneously and extracts multi-segment features to perform the differential diagnosis using support vector machine classifiers. The system demonstrated high accuracy in diagnosing Parkinson's disease versus essential tremor in real-world settings.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Medicine, General & Internal
Annemarie Smid, Rik W. J. Pauwels, Jan Willem J. Elting, Cheryl S. J. Everlo, J. Marc C. van Dijk, D. L. Marinus Oterdoom, Teus van Laar, Katalin Tamasi, A. M. Madelein van der Stouwe, Gea Drost
Summary: This study aims to develop an objective accelerometry-based method to quantify essential tremor (ET) and improve clinical care for patients. The results show that accelerometry can accurately assess tremors, especially resting and intention tremors. This low-cost accelerometry approach can reduce reliance on subjective judgments and provide a more objective monitoring tool for ET patients in clinical, intraoperative, and home settings.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Engineering, Biomedical
Gabriel A. S. Ferreira, Joao Lucas S. Teixeira, Ana Lucia Z. Rosso, Antonio Mauricio F. L. Miranda De Sa
Summary: Parkinson's disease is a neurological disorder characterized by motor symptoms such as tremor and dyskinesia. This study aims to develop a method to distinguish Parkinson's disease, essential tremor, and medication-induced movement disorders. Classification using machine learning algorithms was performed, and decision trees and random forests were found to be the most suitable models for this problem.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Computer Science, Software Engineering
Julian D. Loaiza Duque, Antonio J. Sanchez Egea, Hernan A. Gonzalez Rojas, Pedro Chana-Cuevas, Joaquim J. Ferreira, Joao Costa
Summary: This presents a cost-effective, non-invasive, and easy-to-use tool that utilizes the 6-axis inertial sensor of a smartphone or specific wearable sensor, enhanced by machine learning, for early differential diagnosis of Parkinson's disease and Essential Tremor. A dedicated web server is used to extract kinematic indexes, implement machine learning models, and provide classification results to the app. Therefore, clinicians can use this app as a support tool in the clinic for motor evaluations and timely therapeutic responses in uncertain stages of the diseases.
Article
Clinical Neurology
Nicholas E. Calvo, Joseph M. Ferrara
Summary: This study compared the use of smartphone accelerometry with surface electromyography in diagnosing primary orthostatic tremor (OT). The results showed that smartphone accelerometry had a sensitivity of 83% and specificity of 100% in detecting OT, suggesting it may be an alternative diagnostic tool for this rare movement disorder.
Article
Chemistry, Analytical
Christina van der Linden, Thea Berger, Gregor A. Brandt, Joshua N. Strelow, Hannah Jergas, Juan Carlos Baldermann, Veerle Visser-Vandewalle, Gereon R. Fink, Michael T. Barbe, Jan Niklas Petry-Schmelzer, Till A. Dembek
Summary: Clinical rating scales for tremor have limitations, and reliable quantitative approaches are needed. This study investigated the use of accelerometry metrics to objectively classify tremor amplitude and compared them to clinical ratings. The results showed that accelerometry can reliably quantify tremor amplitude, with finger-worn accelerometry performing slightly better.
Article
Clinical Neurology
Antonio Suppa, Francesco Asci, Giovanni Saggio, Pietro Di Leo, Zakarya Zarezadeh, Gina Ferrazzano, Giovanni Ruoppolo, Alfredo Berardelli, Giovanni Costantini
Summary: In patients with essential tremor, voice tremor is characterized by abnormal oscillatory activity at 2-6 Hz. Voice analysis, including power spectral analysis and support vector machine classification, objectively detected voice tremor and its response to symptomatic pharmacological treatment in patients with essential tremor.
MOVEMENT DISORDERS
(2021)
Article
Neurosciences
Qi Li, Zhen Li, Xiaoxuan Han, Xiao Shen, Fei Wang, Lipeng Bai, Zhuo Li, Rui Zhang, Yanlin Wang, Xiaodong Zhu
Summary: The aim of this study was to explore the most reliable panel of plasma biomarkers for differential diagnosis of parkinsonian syndromes. The results showed that different combinations of plasma biomarkers have high diagnostic value in distinguishing different parkinsonian syndromes from healthy controls. Plasma NfL may have added value to the blood-based biomarker panel for differentiating parkinsonian syndromes.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Chemistry, Analytical
Olga S. Sushkova, Alexei A. Morozov, Ivan A. Kershner, Margarita N. Khokhlova, Alexandra V. Gabova, Alexei V. Karabanov, Larisa A. Chigaleichick, Sergei N. Illarioshkin
Summary: This study aimed to address the problem of differential diagnosis between Parkinson's disease and essential tremor by analyzing the phase shift in tremor signals. Special types of area under the ROC curve (AUC) diagrams were developed to analyze the phase shift using different estimation methods. The investigation of clinical data revealed opposite regularities in the phase shift of electromyographic signals in patients with Parkinson's disease and essential tremor, providing insights into contradictory results reported in the literature and demonstrating the potential for studying neurodegenerative diseases and creating accurate clinical diagnosis methods related to hyperkinetic movements of the extremities.
Article
Neuroimaging
Patrick Bedard, Pattamon Panyakaew, Hyun-Joo Cho, Mark Hallett, Silvina G. Horovitz
Summary: This study aimed to understand the differential pathophysiology of essential tremor and dystonic tremor. The results showed altered functional connectivity in the cerebellum for essential tremor patients, higher fractional anisotropy in the middle cerebellar peduncle for dystonic tremor patients, and reduced mean diffusivity in the cerebellum for both tremor groups. The findings suggest that the cerebellum is affected differently in both essential tremor and dystonic tremor.
NEUROIMAGE-CLINICAL
(2022)
Article
Clinical Neurology
Luca Angelini, Giulia Paparella, Alessandro De Biase, Annalisa Maraone, Matteo Panfili, Isabella Berardelli, Antonio Cannavacciuolo, Antonella Di Vita, Roberta Margiotta, Giovanni Fabbrini, Alfredo Berardelli, Matteo Bologna
Summary: This study investigated the progression of Essential Tremor (ET) manifestations through clinical and neurophysiological evaluation. The results showed that ET progression is characterized by the spread of tremor in multiple body segments and the emergence of soft signs. Female sex, absence of family history, and rest tremor at baseline were identified as predictive factors of worse disease progression.
EUROPEAN JOURNAL OF NEUROLOGY
(2023)
Article
Neurosciences
Bin Zhang, Feifei Huang, Jun Liu, Dingguo Zhang
Summary: Parkinsonian tremor, a common pathological tremor, affects over 6 million people worldwide. This research explored the immediate effect of bilateral transcranial direct current stimulation (tDCS) in suppressing Parkinsonian tremor and compared it with three other setups. The results showed that bilateral tDCS effectively suppressed Parkinsonian tremor with the optimal suppressive effect.
FRONTIERS IN NEUROSCIENCE
(2023)
Review
Clinical Neurology
Sule Tinaz
Summary: Accurate and timely diagnosis of atypical parkinsonian syndromes (APS) remains a challenge. However, recent advances in MRI technology have introduced promising imaging modalities to aid in the diagnosis of APS.
FRONTIERS IN NEUROLOGY
(2023)
Article
Clinical Neurology
Prarthana Prakash, Guenther Deuschl, Sarah Ozinga, Kyle T. Mitchell, Binith Cheeran, Paul S. Larson, Aristide Merola, Sergiu Groppa, Tucker Tomlinson, Jill L. Ostrem
Summary: This study compared the benefits and risks of bilateral versus unilateral deep brain stimulation for medically refractory essential tremor. The results showed that bilateral stimulation was more effective in reducing total motor tremor scores.
MOVEMENT DISORDERS CLINICAL PRACTICE
(2022)
Article
Clinical Neurology
Guenther Deuschl, Angelo Antonini, Joao Costa, Katarzyna Smilowska, Daniela Berg, Jean-Christophe Corvol, Giovanni Fabbrini, Joaquim Ferreira, Tom Foltynie, Pablo Mir, Annette Schrag, Klaus Seppi, Pille Taba, Evzen Ruzicka, Marianna Selikhova, Nicholas Henschke, Gemma Villanueva, Elena Moro
Summary: This article evaluated the treatment options for Parkinson's disease, including deep brain stimulation and other invasive therapies. The results show that STN-DBS is the most well-studied intervention and can improve symptoms and quality of life. STN-DBS may also be considered for early PD with early fluctuations. Other treatments should only be considered for specific patient groups.
EUROPEAN JOURNAL OF NEUROLOGY
(2022)
Article
Clinical Neurology
Katina Aleksovska, Claudio L. A. Bassetti, Thomas Berger, Vanessa Carvalho, Joao Costa, Guenther Deuschl, Kristian S. Frederiksen, Joke Jaarsma, Teia Kobulashvili, Maurizio Leone, Lucia Pavlakova, Michele Romoli, Luca Vignatelli
Summary: This paper aims to establish a set of criteria for prioritizing topics for future European Academy of Neurology (EAN) guidelines. Through literature review, a Delphi consensus procedure, and voting, a set of approved criteria were determined, and the first 30 topics were selected. The process involved both a bottom-up approach with community involvement and a top-down approach with board member selection.
EUROPEAN JOURNAL OF NEUROLOGY
(2023)
Article
Clinical Neurology
Henrieke L. Frequin, Jason Schouten, Constant V. M. Verschuur, Sven R. Suwijn, Judith A. Boel, Bart Post, Bastiaan R. Bloem, Johannes J. van Hilten, Teus van Laar, Gerrit Tissingh, Alexander G. Munts, Joke M. Dijk, Gunther Deuschl, Anthony Lang, Marcel G. W. Dijkgraaf, Rob J. de Haan, Rob M. A. de Bie
Summary: The study found that levodopa had similar effects on bradykinesia, rigidity, and tremor in patients with early Parkinson's disease. The improvements in symptoms were larger at 22 weeks compared to 4 weeks. At 80 weeks, fewer patients in the early-start group experienced motor response fluctuations.
Article
Clinical Neurology
Robin Wolke, Olga Gavriliuc, Oliver Granert, Guenther Deuschl, Nils G. Margraf
Summary: Using computer vision technology, 3D human body models are generated from regular photographs to evaluate postural disorders. The accuracy and applicability of this method are validated by comparing with the gold standard. The generated 3D models are not affected by the camera angle and provide a comprehensive analysis.
MOVEMENT DISORDERS CLINICAL PRACTICE
(2023)
Letter
Clinical Neurology
Gunther Deuschl, Angelo Antonini, Joao Costa, Katarzyna Smilowska, Daniela Berg, Jean-Christophe Corvol, Giovanni Fabbrini, Joaquim Ferreira, Tom Foltynie, Pablo Mir, Anette Schrag, Klaus Seppi, Pille Taba, Evzen Ruzicka, Marianna Selikhova, Nicholas Henschke, Gemma Villanueva, Elena Moro
EUROPEAN JOURNAL OF NEUROLOGY
(2023)
Article
Clinical Neurology
Johannes Meyne, Mirjam Domschikowski, Johannes Hensler, Ann-Kristin Helmers, Daniela Berg, Guenther Deuschl, Steffen Paschen
Summary: The study found that patients with previous deep brain stimulation (DBS) surgery can undergo intravenous thrombolysis (IVT) and endovascular mechanical thrombectomy therapy (MT) for acute ischemic stroke, without bleeding complications, at least 6 months after the surgery.
JOURNAL OF NEUROLOGY
(2023)
Letter
Clinical Neurology
Guenther Deuschl, Angelo Antonini, Joao Costa, Katarzyna Smilowska, Daniela Berg, Jean-Christophe Corvol, Giovanni Fabbrini, Joaquim Ferreira, Tom Foltynie, Pablo Mir, Anette Schrag, Klaus Seppi, Pille Taba, Evzen Ruzicka, Marianna Selikhova, Nicholas Henschke, Gemma Villanueva, Elena Moro
MOVEMENT DISORDERS
(2023)
Editorial Material
Clinical Neurology
Guenther Deuschl
PARKINSONISM & RELATED DISORDERS
(2023)
Article
Clinical Neurology
Dana Brinker, Oliver Granert, Felix Goevert, Inken Toedt, Alexander Baumann, Kirsten E. Zeuner, Robin Wolke, Guenther Deuschl, Jos S. Becktepe
Summary: This study aims to explore alterations of brain grey matter in patients with essential tremor (ET) combined with dystonic soft signs (ET + ds). The results showed a significant increase of grey matter in the right lentiform nucleus in ET + ds and tremor associated with manifest dystonia (TAWD) compared to healthy controls and ET patients without dystonic soft signs (ET-ds). Additionally, an increase of cortical grey matter in the middle frontal gyrus was observed in ET + ds. The hypertrophy of the lentiform nucleus in ET + ds was correlated with disease severity and duration.
PARKINSONISM & RELATED DISORDERS
(2023)
Article
Clinical Neurology
Steffen Paschen, Jos S. Becktepe, Markus A. Hobert, Kirsten E. Zeuner, Ann-Kristin Helmers, Daniela Berg, Gunther Deuschl
Summary: The current analysis of clinical symptomatology is not sufficient to predict surgical success for patients with combined tremor and dystonia syndromes. Other criteria are needed to determine the best target for deep brain stimulation, and rescue surgery may be considered for severely disabled patients if the initial target fails.
MOVEMENT DISORDERS CLINICAL PRACTICE
(2023)
Article
Clinical Neurology
Jacopo Pasquini, Gunther Deuschl, Alessandro Pecori, Stefano Salvadori, Roberto Ceravolo, Nicola Pavese
Summary: This study conducted a comprehensive longitudinal analysis on tremor in de-novo PD patients, revealing that tremor severity increases over time and the response to medication varies. The findings provide an evidence-based framework for future pathophysiological and interventional studies on PD tremor.
MOVEMENT DISORDERS CLINICAL PRACTICE
(2023)
Article
Clinical Neurology
Robin Wolke, Jos Steffen Becktepe, Steffen Paschen, Ann-Kristin Helmers, Dorothee Kuebler-Weller, Jinyoung Youn, Dana Brinker, Hagai Bergman, Andrea A. Kuehn, Alfonso Fasano, Guenther Deuschl
Summary: The efficacy of deep brain stimulation of the subthalamic nucleus (STN-DBS) for Parkinson's disease varies among patients. The levodopa challenge can be used to predict individual responses, but its accuracy is limited.
MOVEMENT DISORDERS CLINICAL PRACTICE
(2023)
Meeting Abstract
Clinical Neurology
R. Wolke, J. Becktepe, S. Paschen, D. Kuebler, A. Helmers, J. Youn, D. Brinker, H. Bergmann, A. Kuehn, A. Fasano, G. Deuschl
EUROPEAN JOURNAL OF NEUROLOGY
(2022)
Meeting Abstract
Clinical Neurology
V. Haering, V. Selzam, R. Peach, J. Martin-Rodriguez, P. Schwingenschuh, G. Tamas, G. Deuschl, P. Mir Rivera, K. Bhatia, J. Volkmann, S. Schreglmann
EUROPEAN JOURNAL OF NEUROLOGY
(2022)
