Article
Clinical Neurology
Carlos H. Schenck, Valerie Cochen de Cock, Simon J. G. Lewis, Naoko Tachibana, Clete Kushida, Raffaele Ferri
Summary: Updated guidelines for diagnosing RBD using vPSG procedures have been proposed, but a survey found that most health systems and medical communities in WSS member countries cannot implement the stricter guidelines, which would interfere with RBD diagnosis for many patients.
Article
Clinical Neurology
Jirada Sringean, Ambra Stefani, Kathrin Marini, Melanie Bergmann, Mario Werkmann, Evi Holzknecht, Roberto De Marzi, Elisabeth Brandauer, Heinz Hackner, Atbin Djamshidian, Heike Stockner, Carles Gaig, Alex Iranzo, Joan Santamaria, Eduardo Tolosa, Klaus Seppi, Werner Poewe, Birgit Hoegl
Summary: The study found that early-stage PD patients had shorter REM sleep latency compared to advanced-stage PD patients. In advanced-stage PD patients, there was a higher incidence and intensity of rapid eye movement (REM) sleep without atonia (RWA), indicating that RWA worsens or becomes more intense with disease progression.
Article
Clinical Neurology
Regis Lopez, Sofiene Chenini, Lucie Barateau, Anna-Laura Rassu, Elisa Evangelista, Beatriz Abril, Julien Fanielle, Nicolas Vitello, Isabelle Jaussent, Yves Dauvilliers
Summary: The study found that sleep-related head jerks are common in the general population, but their clinical significance is unclear. Severe symptomatic forms of SRHJ may be categorized as a new sleep-related movement disorder, distinct from RBD and periodic leg movements.
Article
Clinical Neurology
Matteo Cesari, Anna Heidbreder, Melanie Bergmann, Evi Holzknecht, Birgit Hoegl, Ambra Stefani
Summary: The study evaluated the interrater reliability in artifact correction for REM sleep without atonia in the mentalis and flexor digitorum superficialis muscles. It was found that the reliability was higher in the FDS muscle compared to the mentalis muscle, with minimal artifact interference in phasic FDS activity.
Article
Multidisciplinary Sciences
Madan Parajuli, Amy W. W. Amara, Mohamed Shaban
Summary: In this study, deep-learning based approaches were proposed to detect mild cognitive impairment in Parkinson's disease by analyzing sleep Electroencephalography signals. The proposed models achieved accurate prediction and identification of mild cognitive impairment, providing a promising computer-aided diagnostic tool for monitoring the progression of Parkinson's disease.
Article
Clinical Neurology
Florian Holtbernd, Sandro Romanzetti, Wolfgang Hermann Oertel, Susanne Knake, Elisabeth Sittig, Anna Heidbreder, Andrea Maier, Janna Krahe, Jennifer Wojtala, Imis Dogan, Joerg Bernhard Schulz, Johannes Schiefer, Annette Janzen, Kathrin Reetz
Summary: Using MRI, we found similar patterns of structural brain alterations in RBD and PD patients, suggesting a continuum in disease spectrum between the two.
Article
Clinical Neurology
Ryul Kim, Jee-Young Lee, Yu Kyeong Kim, Heejung Kim, Eun Jin Yoon, Jung Hwan Shin, Dallah Yoo, Hyunwoo Nam, Beomseok Jeon
Summary: This study examined the longitudinal changes in RBDRP expression in isolated rapid eye movement (REM) sleep behavior disorder (iRBD) patients and found significant alterations over time, suggesting attempted functional compensation against ongoing neurodegeneration. The baseline RBDRP expression was not a reliable predictor of disease conversion.
MOVEMENT DISORDERS
(2021)
Article
Clinical Neurology
Monica Puligheddu, Michela Figorilli, Elena Antelmi, Dario Arnaldi, Elisa Casaglia, Ernesto D'Aloja, Luigi Ferini-Strambi, Raffaele Ferri, Gian Luigi Gigli, Francesca Ingravallo, Michelangelo Maestri, Michele Terzaghi, Giuseppe Plazzi
Summary: Most patients with idiopathic REM sleep behavior disorder (iRBD) will develop an overt alpha-synucleinopathy over time. The FARPRESTO study is a longitudinal retrospective and prospective study aimed at stratifying the risk of phenoconversion in iRBD and investigating the impact and management of iRBD through collecting different biomarkers.
NEUROLOGICAL SCIENCES
(2022)
Review
Clinical Neurology
Elena Antelmi, Marianna Lippolis, Francesco Biscarini, Michele Tinazzi, Giuseppe Plazzi
Summary: REM sleep behavior disorder (RBD) is a parasomnia characterized by dream-enactment behaviors, often signaling a neurodegenerative condition. Video polysomnography is crucial for diagnosis, as different conditions may mimic RBD, posing challenges for treatment and treatment evaluation.
SLEEP MEDICINE REVIEWS
(2021)
Article
Medicine, General & Internal
Sooyeoun You, Kyoung Sook Won, Keun Tae Kim, Hyang Woon Lee, Yong Won Cho
Summary: I-123-metaiodobenzylguanidine (MIBG) cardiac scintigraphy was used to assess cardiac autonomic dysfunction in patients with isolated rapid eye movement (REM) sleep behavior disorder, and the study found a correlation between reduced MIBG uptake and higher occurrence of REM sleep without atonia in these patients.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Medicine, General & Internal
Gyeong Seon Choi, Ji Young Yun, Sungeun Hwang, Song E. Kim, Jeong-Yeon Kim, Chang-Hwan Im, Hyang Woon Lee
Summary: The study found differences in CMC and MAI characteristics between iRBD and RBD+P patients during REM sleep compared to controls, suggesting a potential link between these factors and understanding the diseases.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Clinical Neurology
Nikolina Brcina, Christian Hohenfeld, Anna Heidbreder, Shahram Mirzazade, Janna Krahe, Jennifer Wojtala, Ferdinand Binkofski, Joerg B. Schulz, Johannes Schiefer, Kathrin Reetz, Imis Dogan
Summary: The study found stronger activation and connectivity changes during hand movement tasks in RBD patients, which may reflect early compensatory and reorganization patterns to preserve motor functioning. These findings contribute to a better understanding and prognosis of prodromal stages of alpha-synucleinopathies.
PARKINSONISM & RELATED DISORDERS
(2021)
Review
Neurosciences
Mohammad-Ali Samizadeh, Hamed Fallah, Mohadeseh Toomarisahzabi, Fereshteh Rezaei, Mehrsa Rahimi-Danesh, Shahin Akhondzadeh, Salar Vaseghi
Summary: Parkinson's disease (PD) is a common neurodegenerative disease with sleep disturbances, including REM behavior disorder (RBD). Melatonin, the principal hormone secreted by the pineal gland, has therapeutic effects on sleep disturbances but its molecular mechanisms in RBD treatment are unknown.
Article
Clinical Neurology
Hong Lai, Xu-Ying Li, Junya Hu, Wei Li, Fanxi Xu, Junge Zhu, Raoli He, Huidan Weng, Lina Chen, Jiao Yu, Xian Li, Yang Song, Xianling Wang, Zhanjun Wang, Wei Li, Rong Kang, Yuling Li, Junjie Xu, Yuanfei Deng, Qinyong Ye, Chaodong Wang
Summary: This study proposed an effective nomogram for the individualized prediction of possible RBD, with good discrimination and clinical usefulness.
FRONTIERS IN NEUROLOGY
(2022)
Article
Geriatrics & Gerontology
Fangzheng Chen, Yuanyuan Li, Guanyu Ye, Liche Zhou, Xiaolan Bian, Jun Liu
Summary: The presence of rapid eye movement sleep behavior disorder (RBD) in Parkinson's disease patients may indicate a worse prognosis, with an increased likelihood of developing cognitive impairment. A prognostic model was developed to predict mild cognitive impairment (MCI) in PD-RBD patients, showing good discrimination and calibration in predicting PD-MCI. Larger samples and external validation sets are needed to further validate this model.
FRONTIERS IN AGING NEUROSCIENCE
(2021)
Article
Clinical Neurology
Jaiver Macea, Miguel Bhagubai, Victoria Broux, Maarten De Vos, Wim Van Paesschen
Summary: The performance of an EEG seizure-detector algorithm was evaluated in patients with refractory epilepsy using a wearable device. The sensitivity of the device was found to be 52% in inpatients and 23% in outpatients, with high false alarm rates and low performance scores. Although well-received by patients, the device had side effects and its implementation in clinical practice is currently limited.
Article
Multidisciplinary Sciences
Tim Hermans, Katherine Carkeek, Anneleen Dereymaeker, Katrien Jansen, Gunnar Naulaers, Sabine Van Huffel, Maarten De Vos
Summary: In neonates with hypoxic ischemic encephalopathy, the use of wavelet coherence between EEG power and rSO2 is a promising method for assessing neurovascular coupling. However, fluctuations in SpO2 limit the reliability of previous methods. To address this issue, partial wavelet coherence is proposed to eliminate the influence of SpO2. Furthermore, the study investigates the additional value of novel NVC biomarkers compared to traditional EEG and NIRS biomarkers for identifying brain injury.
SCIENTIFIC REPORTS
(2023)
Letter
Respiratory System
Paul Desbordes, Maarten De Vos, Julie Maes, Frans de Jongh, Karl Sylvester, Claus Franz Vogelmeier, Anh Tuan Dinh-Xuan, Jann Mortensen, Wim Janssens, Marko Topalovic
EUROPEAN RESPIRATORY JOURNAL
(2023)
Article
Engineering, Biomedical
Tim Hermans, Laura Smets, Katrien Lemmens, Anneleen Dereymaeker, Katrien Jansen, Gunnar Naulaers, Filippo Zappasodi, Sabine Van Huffel, Silvia Comani, Maarten De Vos
Summary: This paper proposes a semi-supervised deep learning approach for artefact detection in neonatal EEG. The proposed method outperforms existing state-of-the-art models and achieves good performance on two separate datasets. The results demonstrate the effectiveness of the semi-supervised multi-task training strategy and the relevance of artefact detection for automated EEG analysis.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Respiratory System
Kenneth Verstraete, Iwein Gyselinck, Helene Huts, Nilakash Das, Marko Topalovic, Maarten De Vos, Wim Janssens
Summary: This study developed machine learning models to estimate and predict individual treatment effects of interventions in patients with chronic obstructive pulmonary disease (COPD). The results showed that poor lung function and blood eosinophils were the strongest predictors of individual treatment effects. The findings suggest that machine learning models can be used to guide personalized treatment decisions in COPD.
Article
Medicine, General & Internal
Luka Beverin, Marko Topalovic, Armin Halilovic, Paul Desbordes, Wim Janssens, Maarten De Vos
Summary: The study aimed to train a supervised machine learning model that can accurately estimate total lung capacity (TLC) values from spirometry and identify patients who would benefit from complete pulmonary function tests by using the best-performing model. The results demonstrated that the machine learning model can estimate TLC with high accuracy, providing potential for the development of smart home-based spirometry solutions.
FRONTIERS IN MEDICINE
(2023)
Article
Materials Science, Multidisciplinary
Bara Levit, Peter Krebsbach, Chen Bar-Haim, Gerardo Hernandez-Sosa, Yael Hanein
Summary: Contemporary skin electrodes for bio-impedance measurements are inconvenient, and new electrode designs are needed for better usability. This study introduces dry, printed, bio-compatible electrode arrays that measure bio-impedance accurately and stably. The electrodes have unique properties that allow blood pulsation measurement in the face and during muscle activation, with signal stability over many hours.
FLEXIBLE AND PRINTED ELECTRONICS
(2023)
Article
Materials Science, Multidisciplinary
Liron Ben-Ari, Adi Ben-Ari, Cheni Hermon, Yael Hanein
Summary: Finger gesture recognition (FGR) has been extensively studied in recent years for various human-machine interface applications. Surface electromyography (sEMG) is an attractive technique in FGR, but its use has been limited due to the need for cumbersome electrode wiring and electronic instrumentation. This study utilizes a novel approach based on soft 16 electrode array, wireless data acquisition unit, and neural network analysis to achieve gesture recognition under natural conditions. The results demonstrate high accuracy values for both same-session and different-session training and test data, marking an important step towards sEMG based gesture recognition in non-laboratory settings.
FLEXIBLE AND PRINTED ELECTRONICS
(2023)
Article
Clinical Neurology
Tim Hermans, Mohammad Khazaei, Khadijeh Raeisi, Pierpaolo Croce, Gabriella Tamburro, Anneleen Dereymaeker, Maarten De Vos, Filippo Zappasodi, Silvia Comani
Summary: This study aims to explore the use of microstate (MS) analysis to evaluate global brain dynamics changes during maturation in preterm neonates with normal neurodevelopmental outcome. The study found that MS duration decreased and occurrence increased with age in preterm neonates, and significant changes in MS topographies and transitions occurred when neonates reached 37 weeks. Additionally, the Hurst exponent of the individual MS sequence decreased with age.
Article
Clinical Neurology
Alon Doron, Tamar Eviatar-Ribak, Aya Vituri, Shimon Shahar, Firas Fahoum, Lilach Goldstein
Summary: No increase in emergency department presentations due to seizures was observed after the mass vaccination with the Pfizer BioNTech mRNA vaccine in Israel. There was no temporal relation between vaccination and hospitalization due to a seizure.
CLINICAL NEUROLOGY AND NEUROSURGERY
(2023)
Meeting Abstract
Neurosciences
Laure Sillisa, Cleo Vandegoor, Cato Vercaeren, Karel Allegaert, Annick Bogaerts, Maarten De Vos, Titia Hompes, Anne Smits, Kristel Van Calsteren, Jan Y. Verbakel, Veerle Foulon, Michael Ceulemans
NEUROTOXICOLOGY AND TERATOLOGY
(2023)
Article
Computer Science, Information Systems
Oliver Y. Chen, Florian Lipsmeier, Huy Phan, Frank Dondelinger, Andrew Creagh, Christian Gossens, Michael Lindemann, Maarten de Vos
Summary: Personalized longitudinal disease assessment is crucial for MS diagnosis, management, and therapeutic adaptation. We propose a novel model that utilizes smartphone sensor data to map individual disease trajectories in an automated way, even with missing values. The model incorporates sensor-based assessments and imputation for missing data, and identifies potential markers of MS through a generalized estimation equation. The results demonstrate the potential of this model for personalized MS assessment, suggesting that digitally collected features related to gait, balance, and upper extremity function can serve as useful markers for predicting MS over time.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Article
Neurosciences
Gabrielle Cretot-Richert, Maarten De Vos, Stefan Debener, Martin G. Bleichner, Jeremie Voix
Summary: This study investigates the potential of using EEG recorded inside and around the human ear to determine levels of attention and focus. The results suggest that neural oscillations recorded with ear-EEG can differentiate between levels of cognitive workload and working memory when multi-channel recordings are available.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Respiratory System
Katleen Swinnen, Kenneth Verstraete, Claudia Baratto, Laura Hardy, Maarten De Vos, Marko Topalovic, Guido Claessen, Rozenn Quarck, Catharina Belge, Jean-Luc Vachiery, Wim Janssens, Marion Delcroix
Summary: This study developed and validated a machine learning model to improve the prediction accuracy of PH-LHD in a population of PAH and PH-LHD patients. The model significantly improved the sensitivity of PH-LHD prediction at 100% specificity, and may substantially reduce the number of patients referred for invasive diagnostics without missing PAH diagnoses.
Article
Engineering, Biomedical
Bara Levit, Shira Klorfeld-Auslender, Yael Hanein
Summary: Facial muscles are crucial for various physiological functions, and dysfunction can have negative impacts on human well-being. Many medical disorders and conditions in fields such as psychology, neurology, psychiatry, and cosmetic surgery are associated with facial muscles. Scientific explorations have revealed intriguing phenomena, including the link between facial muscle activation and expression of emotions. The development of high density electrode arrays based on soft skin technology provides opportunities for mapping facial muscle activation with high signal quality, reduced interference, and improved data resolution.
PROGRESS IN BIOMEDICAL ENGINEERING
(2023)
