Article
Medicine, General & Internal
Naomi I. Kremer, Annemarie Smid, Stefan F. Lange, Iara Mateus Marcal, Katalin Tamasi, J. Marc C. van Dijk, Teus van Laar, Gea Drost
Summary: This explorative study evaluates the agreement of the MDS-UPDRS-III in sitting and supine positions and found a fair to substantial agreement for individual items. However, the use of supine MDS-UPDRS-III is not endorsed for the whole range of its individual items.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Chemistry, Analytical
Foivos S. S. Kanellos, Konstantinos I. I. Tsamis, Georgios Rigas, Yannis V. V. Simos, Andreas P. P. Katsenos, Gerasimos Kartsakalis, Dimitrios I. I. Fotiadis, Patra Vezyraki, Dimitrios Peschos, Spyridon Konitsiotis
Summary: Parkinson's disease (PD) is the second most common neurodegenerative condition after Alzheimer's disease (AD), with high prevalence and incidence rates. Current care strategies for PD patients, involving brief appointments at outpatient clinics, have limitations in evaluating disease progression due to interpretability issues and recall bias. Artificial-intelligence-driven telehealth solutions, such as wearable devices, have the potential to improve patient care and help physicians manage PD more effectively by monitoring patients objectively in their familiar environment. This study evaluates the validity of in-office clinical assessment compared to home monitoring, and identifies the existence of an index capable of remotely measuring patients' quality of life for the first time.
Article
Neurosciences
Elizabeth L. Stegemoller, Andrew Zaman, Mack Shelley, Bhavana Patel, Ahmad El Kouzi, Elizabeth A. Shirtcliff
Summary: This study investigated the acute effects of group therapeutic singing on physiological and clinical motor symptoms in persons with Parkinson's disease. Results indicated that participants in the singing group reported feeling less sad after the session, with an increase in heart rate compared to the control group. This suggests that group therapeutic singing may be beneficial for persons with PD without causing undue stress.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Article
Clinical Neurology
Masahiro Nakamori, Megumi Toko, Hidetada Yamada, Yuki Hayashi, Kai Ushio, Kohei Yoshikawa, Azusa Haruta, Aya Hiraoka, Mineka Yoshikawa, Toshikazu Nagasaki, Yukio Mikami, Hirofumi Maruyama
Summary: This study aimed to investigate swallowing dysfunction in patients with PD using videofluoroscopy and the MDS-UPDRS sub-scores. The results revealed a correlation between muscle rigidity and laryngeal penetration or aspiration risk.
NEUROLOGICAL SCIENCES
(2023)
Article
Neurosciences
Gaetan Vignoud, Clement Desjardins, Quentin Salardaine, Marie Mongin, Beatrice Garcin, Laurent Venance, Bertrand Degos
Summary: In this study, a deep learning-based tool was developed to precisely analyze movement parameters and reliably score bradykinesia for parkinsonian patients in a MDS-UPDRS manner.
JOURNAL OF PARKINSONS DISEASE
(2022)
Article
Clinical Neurology
Shiying Fan, Defeng Liu, Lin Shi, Fangang Meng, Huaying Fang, Huanguang Liu, Hua Zhang, Anchao Yang, Jianguo Zhang
Summary: This study investigated the differences in motor symptom change outcomes between bilateral subthalamic nucleus (STN) and globus pallidus internus (GPi) deep brain stimulation (DBS) in different motor subtypes of Parkinson's disease. The results showed that tremor-dominant type patients had a greater improvement compared to akinetic-rigid type patients, regardless of the stimulation target. Additionally, STN-DBS had better effects on motor symptoms for akinetic-rigid type patients compared to GPi-DBS.
WORLD NEUROSURGERY
(2022)
Article
Clinical Neurology
Carmen Rodriguez-Blazquez, Anette Schrag, Alexandra Rizos, K. Ray Chaudhuri, Pablo Martinez-Martin, Daniel Weintraub
Summary: This study aimed to estimate the prevalence of non-motor symptoms (NMS) and non-motor fluctuations (NMF) in Parkinson's disease patients, revealing that almost all patients experience NMS and many experience NMF. The prevalence rates for NMS using the MDS-NMS scale were higher than on other scales used, and increased with higher disease severity.
MOVEMENT DISORDERS CLINICAL PRACTICE
(2021)
Article
Clinical Neurology
Junchao Shen, Noor Amari, Rebecca Zack, R. Tyler Skrinak, Travis L. Unger, Marijan Posavi, Thomas F. Tropea, Sharon X. Xie, Vivianna M. Van Deerlin, Richard B. Dewey, Daniel Weintraub, John Q. Trojanowski, Alice S. Chen-Plotkin
Summary: Using a multi-cohort design, the study identified new plasma biomarkers that can predict cognitive decline in Parkinson's disease patients. One of the identified biomarkers, MIA, was found to have a causal influence on cognitive decline.
ANNALS OF NEUROLOGY
(2022)
Article
Medicine, General & Internal
Annemarie Smid, Jan Willem J. Elting, J. Marc C. van Dijk, Bert Otten, D. L. Marinus Oterdoom, Katalin Tamasi, Tjitske Heida, Teus van Laar, Gea Drost
Summary: This study translates the MDS-UPDRS tremor tests into objective accelerometric measurements and discusses the results obtained. Through experiments on 28 PD patients and 26 healthy controls, it was found that there is a certain consistency between accelerometric scores and MDS-UPDRS ratings, but there are some discrepancies, primarily due to noise between 4 and 6 Hz in the healthy control group.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Neurosciences
Delaram Safarpour, Marian L. Dale, Vrutangkumar V. Shah, Lauren Talman, Patricia Carlson-Kuhta, Fay B. Horak, Martina Mancini
Summary: This study explored the feasibility of using quantified data from wearable sensors as surrogate measures of MDS-UPDRS rigidity and PIGD subscores. Through both at-home and laboratory assessments of gait and balance, correlations between parameters such as number of walking bouts, turns, and postural sway with MDS-UPDRS subscores were identified. The results showed significant correlation between objective sensor data and clinical scores, paving the way for future larger studies evaluating the use of objective sensor data in supplementing remote MDS-UPDRS assessments.
Article
Neurosciences
Mehrbakhsh Nilashi, Rabab Ali Abumalloh, Sultan Alyami, Abdullah Alghamdi, Mesfer Alrizq
Summary: This paper aims to develop a new method for PD diagnosis using supervised and unsupervised learning techniques. The authors utilize the Laplacian score, Gaussian process regression, and self-organizing maps for modeling and predicting UPDRS scores in a PD dataset. The study finds that the combination of SOM, Laplacian score, and Gaussian process regression with the exponential kernel provides the best results in predicting UPDRS scores.
Proceedings Paper
Engineering, Biomedical
Rana Zia Ur Rehman, Lynn Rochester, Alison J. Yarnall, Silvia Del Din
Summary: In this study, deep learning techniques were applied to wearable-based gait data to estimate the severity of Parkinson's disease, with the model showing strong correlation and good agreement with true values in predicting motor symptoms. The results suggest that a DL-CNN model trained on baseline wearable-based gait data could be effective in evaluating PD motor severity over time.
2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC)
(2021)
Article
Clinical Neurology
Urs Kleinholdermann, Max Wullstein, David Pedrosa
Summary: This study aimed to develop a mobile, objective, and unobtrusive method for measuring motor symptoms in Parkinson's disease. Data from 45 PD patients were collected using surface electromyography (sEMG) electrodes attached to a wristband. A random forest regression model showed the highest correlation of 0.739 between true and predicted UPDRS values, indicating the potential of sEMG data in extrapolating motor symptoms of PD patients.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Clinical Neurology
Kishoree Sangarapillai, Benjamin M. Norman, Quincy J. Almeida
Summary: The management of Parkinson's disease has been affected by COVID-19 restrictions, leading to challenges in conducting virtual assessments and potentially impacting disease management. A regression equation was developed to predict total motor symptom severity scores from partial scores, which may be useful for remote management and outreach in rural communities.
PARKINSONISM & RELATED DISORDERS
(2022)
Article
Neurosciences
Christian Ineichen, Heide Baumann-Vogel, Matthias Sitzler, Daniel Waldvogel, Christian R. Baumann
Summary: The study found that motor symptoms worsened and motor disease progression significantly increased in patients with Parkinson's disease during pandemic-related restrictions compared to before the COVID-19 outbreak.
JOURNAL OF PARKINSONS DISEASE
(2021)
