Article
Behavioral Sciences
Rima El Atrache, Eleonora Tamilia, Marta Amengual-Gual, Fatemeh Mohammadpour Touserkani, Yonghua Yang, Xiaofan Wang, Claire Ufongene, Theodore Sheehan, Sarah Cantley, Michele Jackson, Bo Zhang, Christos Papadelis, Rani A. Sarkis, Tobias Loddenkemper
Summary: This study found that in children with epilepsy, the semiology of generalized tonic-clonic seizures (GTCS) is associated with electrodermal activity (EDA) and postictal generalized electroencephalographic suppression (PGES). GTCS semiology class 1, characterized by bilateral symmetric tonic arm extension, correlated with longer PGES duration. The results suggest potential applications in monitoring and preventing sudden unexpected death in epilepsy (SUDEP) in these patients.
EPILEPSY & BEHAVIOR
(2021)
Article
Clinical Neurology
Tal Benoliel, Tal Gilboa, Paz Har-Shai Yahav, Revital Zelker, Bilha Kreigsberg, Evgeny Tsizin, Oshrit Arviv, Dana Ekstein, Mordekhay Medvedovsky
Summary: The Digital Semiology (DS) software allows precise encoding of suspected seizures in video-EEG monitoring, providing additional benefit of semiologic alerts. It shows moderate sensitivity and specificity in identifying focal seizures and PNES, contributing to reducing the treatment gap in epilepsy.
FRONTIERS IN NEUROLOGY
(2021)
Article
Clinical Neurology
Manuela Ochoa-Urrea, Nuria Lacuey, Laura Vilella, Liang Zhu, Shirin Jamal-Omidi, M. R. Sandhya Rani, Johnson P. Hampson, Mojtaba Dayyani, Jaison Hampson, Norma J. Hupp, Shiqiang Tao, Rup K. Sainju, Daniel Friedman, Maromi Nei, Catherine Scott, Luke Allen, Brian K. Gehlbach, Victoria Reick-Mitrisin, Stephan Schuele, Jennifer Ogren, Ronald M. Harper, Beate Diehl, Lisa M. Bateman, Orrin Devinsky, George B. Richerson, Guo-Qiang Zhang, Samden D. Lhatoo
Summary: Research on patients with seizure clusters shows that seizure features vary from one seizure to another, with some improving while others deteriorating. The occurrence of SUDEP may have a stochastic nature, where seizure clusters may not necessarily directly contribute to SUDEP.
FRONTIERS IN NEUROLOGY
(2021)
Article
Behavioral Sciences
Tahir Hakami, Mohammed Hakami
Summary: The study revealed that neurologists in Saudi Arabia do not frequently discuss Sudden Unexpected Death in Epilepsy (SUDEP) with their patients, and when they do, they emphasize a more individualized approach. However, the majority of neurologists have only a limited understanding of SUDEP risk factors.
EPILEPSY & BEHAVIOR
(2021)
Article
Clinical Neurology
Johannes Koren, Sebastian Hafner, Moritz Feigl, Christoph Baumgartner
Summary: The study compared three commercially available seizure-detection software packages (Besa, Encevis, Persyst) in 81 epilepsy patients undergoing long-term video-EEG monitoring. While all three packages showed similar sensitivities in detecting seizures, they differed in false alarm rates and detection delays. Persyst 13 had the highest detection rate and false alarm rate with the shortest detection delay, while Encevis 1.7 had slightly lower sensitivity, the lowest false alarm rate, and longer detection delay.
Article
Clinical Neurology
Margarita Maltseva, Felix Rosenow, Susanne Schubert-Bast, Silke Flege, Markus Wolff, Sarah von Spiczak, Regina Trollmann, Steffen Syrbe, Susanne Ruf, Tilman Polster, Bernd A. Neubauer, Thomas Mayer, Julia Jacobs, Gerhard Kurlemann, Gerhard Kluger, Kerstin A. Klotz, Matthias Kieslich, Lara Kay, Frauke Hornemann, Ulrich Bettendorf, Astrid Bertsche, Thomas Bast, Adam Strzelczyk
Summary: This study aimed to investigate the monitoring, interventions, and occurrence of critical incidents in patients with Dravet syndrome and caregivers' knowledge about SUDEP. Results showed that monitoring devices were frequently used and associated with age and history of status epilepticus. Caregivers were well informed about SUDEP and performed interventions at night when necessary.
Article
Computer Science, Interdisciplinary Applications
Sungmin You, Baek Hwan Cho, Young-Min Shon, Dae-Won Seo, In Young Kim
Summary: The study proposed a novel personalized deep learning-based anomaly detection algorithm for seizure monitoring using behind-the-ear EEG signals, achieving improved detection accuracy for seizures with high sensitivity and a lower false alarm rate.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2022)
Article
Chemistry, Analytical
Gul Hameed Khan, Nadeem Ahmad Khan, Muhammad Awais Bin Altaf, Qammer Abbasi
Summary: This paper proposes a trainable hybrid approach for epileptic seizure detection using a shallow autoencoder (AE) and a conventional classifier. The encoded AE representation is used as a feature vector for classifying EEG signal segments as epileptic or non-epileptic. The algorithm has low computational complexity and can be used in body sensor networks and wearable devices. Experimental results show that the proposed method achieves high accuracy and sensitivity in detecting abnormal seizure activity.
Article
Chemistry, Multidisciplinary
Marcin Kolodziej, Andrzej Majkowski, Andrzej Rysz
Summary: This article explores the possibilities, issues, and challenges associated with utilizing artificial intelligence for seizure detection using the publicly available iEEG database. It presents standard approaches for analyzing iEEG signals and discusses modern deep learning algorithms. The study shows that CNN and LSTM networks yield significantly better results, and the gradient-weighted class activation mapping algorithm can identify important iEEG signal fragments for seizure detection.
APPLIED SCIENCES-BASEL
(2023)
Review
Clinical Neurology
Giacomo Evangelista, Fedele Dono, Stefano Consoli, Jacopo Lanzone, Clarissa Corniello, Mirella Russo, Francesca Anzellotti, Marco Onofrj, Catello Vollono, Stefano L. Sensi
Summary: HRV analysis is a valuable method for assessing cardiovascular risk and cardioautonomic impairment in SUDEP patients. The reduction of SDNN and RMSSD is common in SUDEP cases, while there are no significant differences in time and frequency domain parameters compared to controls. However, there is a trend towards increased LF/HF ratio in SUDEP patients.
EUROPEAN JOURNAL OF NEUROLOGY
(2023)
Article
Engineering, Biomedical
Xuyang Zhao, Noboru Yoshida, Tetsuya Ueda, Hidenori Sugano, Toshihisa Tanaka
Summary: This study applies commonly used models such as LeNet, VGG, ResNet, and ViT to the EEG image classification task, and solves the problems of data imbalance and model interpretation through data augmentation and model explanation methods. The models achieve good performance in seizure detection and provide visual and quantitative information for clinical experts in diagnosis.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Chemistry, Multidisciplinary
Zakareya Lasefr, Khaled Elleithy, Ramasani Rakesh Reddy, Eman Abdelfattah, Miad Faezipour
Summary: This paper studied epileptic seizure detection methods based on EEG signals and proposed an enhanced technique with a mobile application for monitoring the classification of EEG signals. The proposed method achieved high accuracy and outperformed previous studies. It will have significant impacts in the medical field and Human-Computer Interaction fields.
APPLIED SCIENCES-BASEL
(2023)
Article
Clinical Neurology
Nina J. Ghosn, Kevin Xie, Akash R. Pattnaik, James J. Gugger, Colin A. Ellis, Elizabeth Sweeney, Emily Fox, John M. Bernabei, Jenaye Johnson, Jacqueline Boccanfuso, Brian Litt, Erin C. Conrad
Summary: Evaluating patients with drug-resistant epilepsy often requires inducing seizures by tapering antiseizure medications (ASMs) in the epilepsy monitoring unit (EMU). The relationship between ASM taper strategy, seizure timing, and severity remains unclear. In this study, we developed and validated a pharmacokinetic model of total ASM load and tested its association with seizure occurrence and severity in the EMU.
Article
Behavioral Sciences
Ali A. Asadi-Pooya, Eugen Trinka, Francesco Brigo, Coraline Hingray, Ioannis Karakis, Simona Lattanzi, Kette D. Valente, Guilca Contreras, Saule T. Turuspekova, Nirmeen Adel Kishk, Ghaieb Aljandeel, Mohsen Farazdaghi, Yamile Calle Lopez, Najib Kissani, Chahnez Triki, Gunter Kraemer, Rainer Surges, Boulenouar Mesraoua, Hsiang-Yu Yu, Anilu Daza-Restrepo, Taoufik Alsaadi, Abdullah Al-Asmi, Mansur A. Kutlubaev, Chrisma Pretorius, Asel Jusupova, Samson G. Khachatryan, Lakshmi Narasimhan Ranganathan, Abdulaziz Ashkanani, Torbjorn Tomson, David Gigineishvili
Summary: This study investigates the opinions and attitudes of neurologists worldwide regarding counseling about sudden unexpected death in epilepsy (SUDEP). The results indicate that many neurologists rarely discuss the risk of SUDEP with patients and their caregivers, suggesting a severe lack of attention to this matter.
EPILEPSY & BEHAVIOR
(2022)
Article
Neurosciences
Alexandra N. Petrucci, Katelyn G. Joyal, Jonathan W. Chou, Rui Li, Kimberly M. Vencer, Gordon F. Buchanan
Summary: The research suggests that serotonin and the dorsal raphe nucleus may regulate the duration of post-ictal generalized EEG suppression following seizures.
Article
Ophthalmology
Thomas Richard Johansen Forshaw, Troels Wesenberg Kjaer, Sten Andreasson, Torben Lykke Sorensen
Summary: The study used full-field electroretinography to examine the response of eyes with AMD, finding significant differences in light-adapted 3.0 a-wave implicit time and 30-Hertz flicker peak time between patients with late AMD and those without vitreoretinal disease. In early AMD patients, only the difference in light-adapted 3.0 a-wave implicit time compared to the control group was significant.
ACTA OPHTHALMOLOGICA
(2021)
Article
Clinical Neurology
Yousef Rezaei Tabar, Kaare B. Mikkelsen, Mike Lind Rank, Martin Christian Hemmsen, Marit Otto, Preben Kidmose
Summary: The study evaluated the automatic sleep staging performance of three ear-EEG setups with different electrode configurations compared to polysomnography and actigraphy recordings. Results showed that the cross-ear setup had the highest kappa value of 0.72 for five class sleep staging, outperforming both the single-ear and single-ear with ipsilateral mastoid setups. In terms of sleep metrics, both the single-ear with ipsilateral mastoid and cross-ear configurations showed better performance compared to the actigraphy device and current state-of-the-art actigraphy studies.
SLEEP AND BREATHING
(2021)
Article
Mathematical & Computational Biology
Kaare B. Mikkelsen, Yousef R. Tabar, Christian B. Christensen, Preben Kidmose
Summary: This study designed an EEG paradigm suitable for deployment in the wild, tested on 20 subjects, showing that the location variation for this paradigm is less than the inter subject variation. Therefore, if a research paradigm benefits from being performed in less controlled environments, limited problems are expected when doing so.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
(2021)
Article
Clinical Neurology
Ying Wang, Ivan C. Zibrandtsen, Richard H. C. Lazeron, Johannes P. van Dijk, Xi Long, Ronald M. Aarts, Lei Wang, Johan B. A. M. Arends
Summary: This study aimed to address the reliability issues in the diagnosis of nonconvulsive status epilepticus (NCSE) through electroencephalography (EEG). It identified typical pitfalls in EEG analysis and suggested strategies to avoid them. The study found that short ictal discharges, abnormal background activity, and continuous discharges were prone to misinterpretation. It recommended a longer duration criterion for NCSE-EEGs and the use of personalized algorithms and context-dependent alarm thresholds to improve interpretations.
CLINICAL EEG AND NEUROSCIENCE
(2023)
Article
Engineering, Biomedical
Christian Bech Christensen, Thomas Lunner, James Michael Harte, Mike Lind Rank, Preben Kidmose
Summary: This study investigated the spatial distribution of the auditory steady-state response (ASSR) to broadband chirp stimuli at different repetition rates on the scalp and in the ears, and found that the ASSR amplitude and phase were dependent on the repetition rate on the scalp, but independent of the repetition rate in the ears. The use of high repetition rates for chirp stimuli was advantageous for ASSR recording in both clinical practice and mobile real-life applications.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Article
Clinical Neurology
Jonas Munch Nielsen, Ivan C. Zibrandtsen, Paolo Masulli, Torben Lykke Sorensen, Tobias S. Andersen, Troels Wesenberg Kjaer
Summary: This study explores the potential of wearable multi-modal monitoring in epilepsy and identifies effective seizure detection strategies. Automatic seizure detection using multi-modal monitoring shows improved sensitivity and reduced false alarm rates. Visual analysis of multi-modal time series data generates insights for future research on seizure detection.
CLINICAL NEUROPHYSIOLOGY
(2022)
Article
Engineering, Biomedical
Kaare B. Mikkelsen, Huy Phan, Mike L. Rank, Martin C. Hemmsen, Maarten de Vos, Preben Kidmose
Summary: Modern sleep monitoring is turning towards the use of unobtrusive sensors and automatic sleep scoring algorithms. Sensor positions in the facial area and around the ears, which are relatively hairless, are gaining extra attention. The study found that large electrode distances render positioning less critical for achieving accurate sleep scoring.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Article
Clinical Neurology
Linnea Grindegard, Tobias Cronberg, Sofia Backman, Kaj Blennow, Josef Dankiewicz, Hans Friberg, Christian Hassager, Janneke Horn, Troels W. Kjaer, Jesper Kjaergaard, Michael Kuiper, Niklas Mattsson-Carlgren, Niklas Nielsen, Anne-Fleur Van Rootselaar, Andrea Rossetti, Pascal Stammet, Susann Ullen, Henrik Zetterberg, Erik Westhall, Marion Moseby-Knappe
Summary: This study explored the relationship between EEG and neuroaxonal injury marker neurofilament light (NfL), as well as their association with brain injury severity. The findings showed that highly malignant EEG patterns were associated with higher NfL levels, and both EEG background and discharges were strongly correlated with NfL levels. The association between EEG background and NfL levels was stronger than that between superimposed discharges and NfL levels. Combining EEG and NfL measurements can help better identify misclassified patients using single methods.
Article
Clinical Neurology
Moshgan Amiri, Patrick M. Fisher, Federico Raimondo, Annette Sidaros, Melita Cacic Hribljan, Marwan H. Othman, Ivan Zibrandtsen, Simon A. Albrechtsen, Ove Bergdal, Adam Espe Hansen, Christian Hassager, Joan Lilja S. Hojgaard, Elisabeth Waldemar Jakobsen, Helene Ravnholt Jensen, Jacob Moller, Vardan Nersesjan, Miki Nikolic, Markus Harboe Olsen, Sigurdur Thor Sigurdsson, Jacobo D. Sitt, Christine Solling, Karen Lise Welling, Lisette M. Willumsen, John Hauerberg, Vibeke Andree Larsen, Martin Ejler Fabricius, Gitte Moos Knudsen, Jesper Kjaergaard, Kirsten Moller, Daniel Kondziella
Summary: This study aimed to assess the accuracy of fMRI and EEG in identifying residual consciousness in patients with acute disorders of consciousness (DoC) in the intensive care unit (ICU). The study found that a combination of fMRI and EEG features can predict the level of consciousness in patients, which is important for clinical decision-making.
Article
Neurosciences
Christian Sandoe Musaeus, Gunhild Waldemar, Birgitte Bo Andersen, Peter Hogh, Preben Kidmose, Martin Christian Hemmsen, Mike Lind Rank, Troels Wesenberg Kjaer, Kristian Steen Frederiksen
Summary: This study investigated the feasibility of using ear-EEG for long-term EEG monitoring in patients with AD. The results showed that ear-EEG was safe to use with minor adverse events, but adjustments to the equipment may be necessary to improve patient comfort.
JOURNAL OF ALZHEIMERS DISEASE
(2022)
Article
Neurosciences
Yousef R. R. Tabar, Kaare B. B. Mikkelsen, Nelly Shenton, Simon L. L. Kappel, Astrid R. R. Bertelsen, Reza Nikbakht, Hans O. O. Toft, Chris H. H. Henriksen, Martin C. C. Hemmsen, Mike L. L. Rank, Marit Otto, Preben Kidmose
Summary: A device with generic earpieces and embedded dry electrodes for ear-centered electroencephalography (ear-EEG) was developed to provide sleep monitoring without customization. Ten healthy subjects participated in a 12-night sleep study and reported that the ear-EEG system was easy to use and comfortable. The performance of the system was validated by comparing it with polysomnography (PSG) and showed good agreement.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Engineering, Biomedical
Kenneth Borup, Preben Kidmose, Huy Phan, Kaare Mikkelsen
Summary: In this study, the improvement in sleep scoring is investigated by using an ensemble of multiple state-of-the-art neural networks and distilling them into a single model. The results show that ensembles of neural networks outperform individual models (improvement: 2.4%), and this improvement can be transferred to a single network through a combination of patient specific data and knowledge distillation. The study not only provides a method to enhance automatic sleep scoring from mobile devices but also highlights the potential of unlabeled personal data from personal recording devices.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Food Science & Technology
Ida Steen, Morten Munchow, Sidsel Jensen, Troels W. W. Kjaer, Sandra S. S. Waehrens, Wender L. P. Bredie
Summary: The study investigated the effect of an online sensory and cognitive training program on the odor recognition of 36 coffee aromas. The participants showed a significant improvement in their ability to detect the aromas after 6 weeks of training. The new online training program has the potential to enhance the odor recognition of coffee professionals.
JOURNAL OF SENSORY STUDIES
(2023)
Article
Neurosciences
Christian Sandoe Musaeus, Kristian Steen Frederiksen, Birgitte Bo Andersen, Peter Hogh, Preben Kidmose, Martin Fabricius, Melita Cacic Hribljan, Martin Christian Hemmsen, Mike Lind Rank, Gunhild Waldemar, Troels Wesenberg Kjaer
Summary: In this study, it was found that most patients with Alzheimer's disease (AD) had epileptiform discharges, with a three-fold higher frequency compared to healthy elderly controls (HC), which most likely originated from the temporal lobes. This result suggests that elevated spike frequency should be considered a marker of hyperexcitability in AD.
NEUROBIOLOGY OF DISEASE
(2023)
Review
Rehabilitation
Rosa Dam Waerling, Troels Wesenberg Kjaer
Summary: This study provides an overview of biomedical technologies that can help relieve everyday impairments in neurological patients, highlighting the beneficial role of technology in improving quality of life by assisting them in daily living. The study also emphasizes the importance of personal characteristics and physical environment in the effectiveness of technology use.
DISABILITY AND REHABILITATION-ASSISTIVE TECHNOLOGY
(2022)