Article
Computer Science, Artificial Intelligence
Mohsen Gholami, Rabab Ward, Ravneet Mahal, Maryam Mirian, Kevin Yen, Kye Won Park, Martin J. McKeown, Z. Jane Wang
Summary: In this study, an automatic, objective, and weakly supervised method was proposed for labeling gait videos of Parkinson's Disease patients. The method utilizes labeling functions and a generative model to classify patients' gait, and incorporates a weakly supervised 3D human pose estimation method to improve accuracy. The results suggest that the use of labeling functions may provide a robust means to interpret and classify patient-oriented videos involving motor tasks.
MEDICAL IMAGE ANALYSIS
(2023)
Article
Computer Science, Artificial Intelligence
Mandy Lu, Qingyu Zhao, Kathleen L. Poston, Edith Sullivan, Adolf Pfefferbaum, Marian Shahid, Maya Katz, Leila Montaser Kouhsari, Kevin Schulman, Arnold Milstein, Juan Carlos Niebles, Victor W. Henderson, Li Fei-Fei, Kilian M. Pohl, Ehsan Adeli
Summary: This paper introduces an ordinal focal neural network to estimate MDS-UPDRS scores, aiming to address inconsistencies in scoring and class imbalances. By regularizing the training of the network through rater confusion estimation (RCE), we achieved a high accuracy in gait testing.
MEDICAL IMAGE ANALYSIS
(2021)
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)
Review
Clinical Neurology
David Nascimento, Jaqueline Carmona, Tiago Mestre, Joaquim J. Ferreira, Isabel Guimaraes
Summary: This study evaluated six drooling rating scales, finding heterogeneous characteristics and incomplete reliability analysis. Among them, only the ROMP-saliva scale was classified as recommended for people with Parkinson's disease due to its substantial evidence of clinimetric properties adequacy.
PARKINSONISM & RELATED DISORDERS
(2021)
Article
Anesthesiology
R. A. Moore, P. R. D. Clephas, S. Straube, M. M. Wertli, J. Ireson-Paige, M. Heesen
Summary: Assessment scales for pain intensity are crucial in evaluating postoperative pain. Our study determined the cut points between mild and moderate pain as 35 mm on a visual analogue scale, and between moderate and severe pain as 80 mm. We found that around 1 in 8 pain scores showed category disagreements, potentially leading to inaccurate pain reporting.
Article
Clinical Neurology
Sheng Luo, Christopher G. Goetz, Dongrak Choi, Sanket Aggarwal, Tiago A. Mestre, Glenn T. Stebbins
Summary: This study aimed to determine the imputation accuracy for total-sum and item-specific MDS-UPDRS Motor Examination scores in remote administration. The results showed that the total-sum score can be accurately imputed without the scores of Rigidity and Postural Stability items, but there is no feasible formula for imputing item-level scores.
MOVEMENT DISORDERS
(2022)
Article
Clinical Neurology
Etienne de Villers-Sidani, Patrice Voss, Daniel Guitton, J. Miguel Cisneros-Franco, Nils A. Koch, Simon Ducharme
Summary: The idea that eye movements can reflect certain aspects of brain function and inform on the presence of neurodegeneration is not new. A novel technology using the embedded camera of a mobile tablet has been tested and shown to replicate well-known findings regarding eye movement anomalies in Parkinson's disease (PD). This tablet-based tool has the potential to accelerate eye movement research and aid in disease identification and progression monitoring in clinical settings.
FRONTIERS IN NEUROLOGY
(2023)
Article
Geochemistry & Geophysics
Cuiling Liu, Chisheng Wang, Yaping Xu, Chenguang Liu, Mingxiao Li, Dejin Zhang, Geng Liu, Weidong Li, Qin Zhang, Qingquan Li
Summary: The study examines the correlation between nighttime light intensity (NLI) and population density, as well as per capita income, at different scales. The results show a moderate to weak positive correlation between NLI and population density, and a weak to very weak negative correlation between NLI and per capita income.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Engineering, Geological
Liren Ban, Weisheng Du, Chengzhi Qi, Chun Zhu
Summary: This study introduces two parameters to characterize the roughness of rock joints, one for local features and the other for overall features. By combining small-scale and large-scale roughness parameters in a new equation, the accuracy of characterizing the roughness of joint rock surfaces is improved.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2021)
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
Mathematical & Computational Biology
Soobia Saeed, Habibollah Haron, N. Z. Jhanjhi, Mehmood Naqvi, Hesham A. Alhumyani, Mehedi Masud
Summary: Missing values in the k-NN algorithm are a significant concern, especially in low-grade tumors and CSF fluid, identified in MRI scans. This study proposes a DFLkNN imputation method that combines the hybrid k-NN extension and the DFT to capture time-lag correlations. The method achieves high accuracy and retrieves missing data in MRI images.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2022)
Article
Clinical Neurology
Kohsuke Yoshida, Kazuki Takano, Hiromi Tani, Sae Nobuhara, Yuki Maruyama, Kohei Marumoto
Summary: This study investigated the relationship between Chronotropic Incompetence (CI) and UPDRS part II (off-on) in patients with Parkinson's disease. It was found that patients with CI showed lower exercise tolerance and altered heart rate variability compared to those without CI, indicating a potential link between CI and daily living activities in PD patients.
PARKINSONISM & RELATED DISORDERS
(2021)
Article
Engineering, Civil
Saviz Moghtadernejad, Yuchuan Jin, Bryan Tyrone Adey
Summary: Infrastructure managers monitor asset condition to predict deterioration speed and determine optimal intervention timing. However, real-world data often contains errors such as missing data or faulty entries. This paper explores models that use spatial correlation to predict missing data values, and finds reasonably low error levels in estimating condition indicator values.
JOURNAL OF INFRASTRUCTURE SYSTEMS
(2023)
Article
Neurosciences
Michela Barichella, Emanuele Cereda, Laura Iorio, Giovanna Pinelli, Valentina Ferri, Erica Cassani, Carlotta Bolliri, Serena Caronni, Chiara Pusani, Maria Giulia Schiaffino, Angelica Giana, Elena Quacci, Caterina Esposito, Francesca Monti Guarnieri, Aurora Colombo, Francesca Del Sorbo, Roberto Cilia, Giorgio Sacilotto, Giulio Riboldazzi, Anna Lena Zecchinelli, Gianni Pezzoli
Summary: This study found that Parkinson's disease patients have lower levels of serum 25-hydroxyvitamin D than the general population, and low levels of serum 25-hydroxyvitamin D are associated with more severe disease, worse symptoms, and greater impairment of global cognitive function.
NUTRITIONAL NEUROSCIENCE
(2022)
Article
Neurosciences
Holly Jackson, Judith Anzures-Cabrera, Kirsten I. Taylor, Gennaro Pagano
Summary: There are currently no treatments available to slow down the progression of Parkinson's disease. Research has found that Hoehn and Yahr stage and Dat-SPECT SBR can predict disease progression in early PD, but further studies are needed to confirm their validity.
FRONTIERS IN NEUROSCIENCE
(2021)