Article
Clinical Neurology
Francesco Cavallieri, Giulia Di Rauso, Annalisa Gessani, Carla Budriesi, Valentina Fioravanti, Sara Contardi, Elisa Menozzi, Serge Pinto, Elena Moro, Francesca Antonelli, Franco Valzania
Summary: This study found correlations between speech variables and limb bradykinesia in patients with Parkinson's disease (PD), especially under different medication conditions. The findings suggest common pathophysiological mechanisms between speech variables and upper extremity bradykinesia.
FRONTIERS IN NEUROLOGY
(2023)
Article
Neurosciences
Jan Rusz, Radim Krupicka, Slavka Viteckova, Tereza Tykalova, Michal Novotny, Jan Novak, Petr Dusek, Evzen Ruzicka
Summary: This study investigated the presence and relationship of temporal speech and gait parameters in patients with different motor subtypes of Parkinson's disease (PD). The findings suggest that speech and gait rhythm disorders are specific to the postural instability/gait disorder (PIGD) subtype, with PIGD patients showing abnormalities in consonant timing, stride length, velocity, and cadence.
CNS NEUROSCIENCE & THERAPEUTICS
(2023)
Article
Computer Science, Information Systems
Lili Zhu, Petros Spachos
Summary: Food quality and safety are crucial for human health and social stability. This study proposed a mobile visual system to grade bananas, achieving high accuracy rates in the grading process. The complex process of ensuring food quality involves all stages from cultivation to consumption.
INTERNET OF THINGS
(2021)
Article
Clinical Neurology
Vanessa Brzoskowski dos Santos, Annelise Ayres, Maiara Lais Mallmann Kieling, Elaine Cristina Miglorini, Laura Bannach Jardim, Artur Francisco Schumacher-Schuh, Carlos Roberto de Mello Rieder, Raphael Machado de Castilhos, Kristie Spencer, Rui Rothe-Neves, Maira Rozenfeld Olchik
Summary: This study compared the articulatory patterns between patients with cerebellar disorders and basal ganglia disorders. The results showed that patients with Parkinson's disease exhibited significantly lower levels in the number of syllables, phonation time, diadochokinesis, and monolog tasks. In contrast, patients with spinocerebellar ataxia type 3 only had significantly lower number of syllables in the monolog. These findings suggest a relationship between speech and general motor functioning.
FRONTIERS IN NEUROLOGY
(2023)
Article
Clinical Neurology
Yunjun Yang, Yuelong Yang, Aizhen Pan, Zhifeng Xu, Lijuan Wang, Yuhu Zhang, Kun Nie, Biao Huang
Summary: This study investigates white matter microstructural alterations in Parkinson's disease patients with depression using the whole-brain diffusion tensor imaging (DTI) method and explores the potential of a DTI-based machine learning model in identifying depressed Parkinson's disease. The results imply that depression in Parkinson's disease is associated with changes in white matter microstructure, and the machine learning model using DTI parameters shows promise in individualized diagnosis of depressive Parkinson's disease.
FRONTIERS IN NEUROLOGY
(2022)
Article
Clinical Neurology
Katsuki Eguchi, Hiroaki Yaguchi, Ikue Kudo, Ibuki Kimura, Tomoko Nabekura, Ryuto Kumagai, Kenichi Fujita, Yuichi Nakashiro, Yuki Iida, Shinsuke Hamada, Sanae Honma, Asako Takei, Fumio Moriwaka, Ichiro Yabe
Summary: The study evaluated a DNN model with a transformer architecture to distinguish speech data of PD patients from SCD patients, achieving relatively high accuracy and AUC in fivefold cross-validation.
JOURNAL OF NEUROLOGY
(2023)
Article
Clinical Neurology
Serge Pinto, Adelheid Nebel, Jorn Rau, Robert Espesser, Pauline Maillochon, Oliver Niebuhr, Paul Krack, Tatiana Witjas, Alain Ghio, Marie-Charlotte Cuartero, Lars Timmermann, Alfons Schnitzler, Helke Hesekamp, Niklaus Meier, Julia Muellner, Thomas D. Haelbig, Bettina Moeller, Steffen Paschen, Laura Paschen, Jens Volkmann, Michael T. Barbe, Gereon R. Fink, Johannes Becker, Paul Reker, Andrea A. Kuehn, Gerd-Helge Schneider, Valerie Fraix, Eric Seigneuret, Andrea Kistner, Olivier Rascol, Christine Brefel-Courbon, Fabienne Ory-Magne, Christian J. Hartmann, Lars Wojtecki, Anne Fradet, David Maltete, Philippe Damier, Severine Le Dily, Friederike Sixel-Doering, Petra Benecke, Daniel Weiss, Tobias Waechter, Marcus O. Pinsker, Jean Regis, Stephane Thobois, Gustavo Polo, Jean-Luc Houeto, Andreas Hartmann, Karina Knudsen, Marie Vidailhet, Michael Schuepbach, Gunther Deuschl
Summary: This study compared speech intelligibility assessment and other outcomes between subthalamic nucleus deep brain stimulation (STN-DBS) and best medical treatment (BMT) in early-stage Parkinson's disease patients over a 2-year period. The results showed no significant differences in speech intelligibility and patient-reported outcomes between the STN-DBS and BMT groups, but there was a trend towards worsening in both groups.
MOVEMENT DISORDERS
(2023)
Article
Clinical Neurology
Francesco Cavallieri, Carla Budriesi, Annalisa Gessani, Sara Contardi, Valentina Fioravanti, Elisa Menozzi, Serge Pinto, Elena Moro, Franco Valzania, Francesca Antonelli
Summary: The study demonstrates that levodopa has a negative effect on speech acoustic parameters in Parkinson's disease patients. The intensity and location of dyskinesia negatively impact speech quality.
FRONTIERS IN NEUROLOGY
(2021)
Article
Clinical Neurology
Antonio Suppa, Giovanni Costantini, Francesco Asci, Pietro Di Leo, Mohammad Sami Al-Wardat, Giulia Di Lazzaro, Simona Scalise, Antonio Pisani, Giovanni Saggio
Summary: Voice changes in Parkinson's disease (PD) were investigated using machine learning algorithms in a large cohort of patients at different disease stages. The results showed abnormal voice in early-stage PD, progressive degradation in mid-advanced-stage PD, and improvement but not restoration of voice with L-Dopa therapy. Machine learning analysis allowed for tracking disease severity and quantifying the effect of L-Dopa on voice parameters with high accuracy, potentially serving as a new biomarker for PD.
FRONTIERS IN NEUROLOGY
(2022)
Review
Otorhinolaryngology
Robin Baudouin, Jerome R. Lechien, Louise Carpentier, Jean-Marc Gurruchaga, Quentin Lisan, Stephane Hans
Summary: The impact of deep brain stimulation (DBS) on voice and speech quality in patients with Parkinson's disease is controversial, and the stimulated anatomical region may play a significant role. Future controlled studies comparing stimulation in different regions are needed to obtain reliable findings.
OTOLARYNGOLOGY-HEAD AND NECK SURGERY
(2023)
Article
Engineering, Biomedical
Benjamin G. Schultz, Zaher Joukhadar, Usha Nattala, Maria del Mar Quiroga, Gustavo Noffs, Sandra Rojas, Hannah Reece, Anneke van der Walt, Adam P. Vogel
Summary: This study examines the use of acoustic features to distinguish pathological speech caused by neurodegenerative diseases. The results demonstrate that acoustic features can accurately differentiate healthy speech from speech associated with diseases such as multiple sclerosis and Friedreich ataxia. The findings highlight the importance of considering speech outcomes when evaluating neurodegenerative diseases and suggest expanding the scope of research to other neurological disorders and affective disorders.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Clinical Neurology
Adolfo M. Garcia, Tomas Arias-Vergara, Juan C. Vasquez-Correa, Elmar Noth, Maria Schuster, Ariane E. Welch, Yamile Bocanegra, Ana Baena, Juan R. Orozco-Arroyave
Summary: The study aimed to identify the speech dimensions that best differentiate patients with PD in cognitively heterogeneous, cognitively preserved, and cognitively impaired groups through tasks with different processing demands. The results showed that dysarthric signs during reading were best at discriminating patients in cognitively heterogeneous and cognitively preserved groups, while phonemic identifiability during retelling was most effective for discriminating patients with cognitive impairment. Prosody predicted cognitive symptom severity in cognitively preserved patients, while phonemic identifiability predicted it in cognitively heterogeneous and impaired groups.
MOVEMENT DISORDERS
(2021)
Article
Engineering, Biomedical
A. Gomez, A. Tsanas, P. Gomez, D. Palacios-Alonso, V Rodellar, A. Alvarez
Summary: The study aims to investigate the effects of neuromotor activity during speech articulatory movements affected by hypokinetic dysarthria in Parkinson's Disease, using an inverse acoustic-to-kinematic projection model to estimate parameters. The methodology involves multiple regression for initial weight values and gradient-descent for weight refinement, as well as time-realignment study on the acoustic-to-kinematic projection model. This research offers new insights into the physiological voice production mechanism and PD symptoms.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Engineering, Electrical & Electronic
Abu Ilius Faisal, Tapas Mondal, David Cowan, M. Jamal Deen
Summary: Mobility is crucial for healthy aging and any disruption to mobility can affect mental, physical and social health. This study analyzed a gait database to classify knee joint and gait characteristics based on age, BMI, and sex using supervised machine learning algorithms. The results showed high accuracy in classification, with specific features contributing significantly. Therefore, this study is important for real-time evaluation, early diagnosis of mobility disabilities, health assessment, and monitoring the need for interventions.
IEEE SENSORS JOURNAL
(2022)
Article
Neurosciences
Liaqat Ali, Zhiquan He, Wenming Cao, Hafiz Tayyab Rauf, Yakubu Imrana, Md Belal Bin Heyat
Summary: This study explores Parkinson's disease detection using multimodal voice data collected through smartphones and acoustic cardioids. The proposed MultiModal Data-Driven Ensemble approach outperforms unimodal frameworks and other ensemble models. The experimental results show promising accuracy, sensitivity, specificity, MCC, and AUC compared to recent studies on PD detection using multimodal voice data.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Computer Science, Information Systems
Ilias Thomas, Jerker Westin, Moudud Alam, Filip Bergquist, Dag Nyholm, Marina Senek, Mevludin Memedi
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2018)
Article
Clinical Neurology
Ilias Thomas, Mevludin Memedi, Jerker Westin, Dag Nyholm
ACTA NEUROLOGICA SCANDINAVICA
(2019)
Article
Clinical Neurology
Ilias Thomas, Moudud Alam, Filip Bergquist, Dongni Johansson, Mevludin Memedi, Dag Nyholm, Jerker Westin
JOURNAL OF NEUROLOGY
(2019)
Article
Clinical Neurology
Dongni Johansson, Ilias Thomas, Anders Ericsson, Anders Johansson, Alexander Medvedev, Mevludin Memedi, Dag Nyholm, Fredrik Ohlsson, Marina Senek, Jack Spira, Jerker Westin, Filip Bergquist
PARKINSONISM & RELATED DISORDERS
(2019)
Article
Pharmacology & Pharmacy
Murshid Saqlain, Moudud Alam, Lars Ronnegard, Jerker Westin
EUROPEAN JOURNAL OF DRUG METABOLISM AND PHARMACOKINETICS
(2020)
Article
Chemistry, Analytical
Taha Khan, Lina E. Lundgren, Eric Jarpe, M. Charlotte Olsson, Pelle Viberg
Article
Computer Science, Artificial Intelligence
Taha Khan, Lina E. Lundgren, David G. Anderson, Irena Nowak, Mark Dougherty, Antanas Verikas, Misha Pavel, Holly Jimison, Slawomir Nowaczyk, Vered Aharonson
COMPUTER SPEECH AND LANGUAGE
(2020)
Article
Health Care Sciences & Services
Taha Khan, Ali Zeeshan, Mark Dougherty
Summary: This paper introduces a novel computer-vision framework for automatic classification of the severity of gait impairment in Parkinson's disease patients. By extracting gait features from videos and utilizing machine learning methods for classification, the model shows promising results for gait assessment in the home environment for PD patients.
TECHNOLOGY AND HEALTH CARE
(2021)
Article
Computer Science, Information Systems
Taha Khan, Peter G. Jacobs
Summary: This study utilized SVM framework based on movement analysis to predict the onset and progression of mild cognitive impairment. The results showed that the model could detect the onset six months earlier and the feature of cyclomatic complexity significantly contributed to the prediction results.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2021)
Proceedings Paper
Computer Science, Information Systems
Hasan Fleyeh, Jerker Westin
2019 IEEE 32ND INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS)
(2019)
Meeting Abstract
Clinical Neurology
I. Thomas, M. Memedi, D. Nyholm, J. Westin
MOVEMENT DISORDERS
(2018)
Article
Substance Abuse
Mauro Schiavella, Matteo Pelagatti, Jerker Westin, Gabriele Lepore, Paolo Cherubini
JOURNAL OF GAMBLING STUDIES
(2018)