Review
Clinical Neurology
Andrea Biondi, Viviana Santoro, Pedro F. Viana, Petroula Laiou, Deb K. Pal, Elisa Bruno, Mark P. Richardson
Summary: The study reviewed the current state-of-the-art and highlighted the main advantages of adopting noninvasive mobile EEG solutions, showing that EEG recorded via mobile EEG can be used for visual detection of EEG abnormalities and for the application of automatic-detection algorithms. Positive experiences of patients and healthcare providers using mobile EEG were reported. Ongoing trials focus on improving seizure-detection accuracy and testing the feasibility and acceptability of noninvasive devices in hospital and home settings.
Article
Clinical Neurology
Pedro F. Viana, Line S. Remvig, Jonas Duun-Henriksen, Martin Glasstetter, Matthias Duempelmann, Ewan S. Nurse, Isabel P. Martins, Andreas Schulze-Bonhage, Dean R. Freestone, Benjamin H. Brinkmann, Troels W. Kjaer, Mark P. Richardson
Summary: Ultra long-term subcutaneous electroencephalography (sqEEG) monitoring is a new modality with great potential for both health and disease, including epileptic seizure detection and forecasting. The spectral characteristics of minimally invasive, ultra long-term sqEEG are similar to scalp EEG, whereas the signal is highly stationary. Our findings reinforce the suitability of this system for chronic implantation on diverse clinical applications, from seizure detection and forecasting to brain-computer interfaces.
Article
Clinical Neurology
Aurelie Hanin, Sophie Demeret, Jerome Alexandre Denis, Vi-Huong Nguyen-Michel, Benjamin Rohaut, Clemence Marois, Francoise Imbert-Bismut, Dominique Bonnefont-Rousselot, Pierre Levy, Vincent Navarro, Virginie Lambrecq
Summary: The study discussed the relationship between neuron-specific enolase (NSE) and S100-beta (S100B) levels with EEG activity to evaluate seizure risk in patients with acute brain injury. It was found that NSE levels were positively correlated with EEG scores, and higher NSE levels were associated with an increased risk of seizure recurrence.
EUROPEAN JOURNAL OF NEUROLOGY
(2022)
Article
Clinical Neurology
Jay Pathmanathan, Troels W. Kjaer, Andrew J. Cole, Norman Delanty, Rainer Surges, Jonas Duun-Henriksen
Summary: Current modalities for short-term EEG monitoring are used for clinical diagnosis of epilepsy. However, patient diaries are unreliable for long-term monitoring, especially for patients with impaired awareness or nocturnal seizures. The subcutaneous ultra long-term EEG systems provide objective, continuous monitoring for days, weeks, months, or years. This technology is especially suited for selected patients with specific seizure types.
FRONTIERS IN NEUROLOGY
(2022)
Article
Clinical Neurology
Pedro F. Viana, Tal Pal Attia, Mona Nasseri, Jonas Duun-Henriksen, Andrea Biondi, Joel S. Winston, Isabel Pavao Martins, Ewan S. Nurse, Matthias Duempelmann, Andreas Schulze-Bonhage, Dean R. Freestone, Troels W. Kjaer, Mark P. Richardson, Benjamin H. Brinkmann
Summary: This study demonstrates the feasibility of subject-specific seizure forecasting using a minimally invasive subcutaneous EEG device capable of ultra-long-term at-home recordings. Promising results were achieved in predicting seizures in three to five out of six patients, with significant performance and sensitivity, closely following the circadian patterns of seizure occurrence. Further development of a prospective seizure forecasting trial using minimally invasive EEG is encouraged.
Article
Engineering, Biomedical
Akash R. Pattnaik, Nina J. Ghosn, Ian Z. Ong, Andrew Y. Revell, William K. S. Ojemann, Brittany H. Scheid, Georgia Georgostathi, John M. Bernabei, Erin C. Conrad, Saurabh R. Sinha, Kathryn A. Davis, Nishant Sinha, Brian Litt
Summary: This study proposes a quantitative measure of seizure severity that incorporates EEG and clinical data, and demonstrates its application in guiding epilepsy therapy. The severity score is found to be associated with lower medication loads and better surgical outcomes. This scoring method improves the accuracy of epilepsy treatment.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Genchang Peng, Mehrdad Nourani, Jay Harvey, Hina Dave
Summary: This paper introduces a personalized EEG feature selection approach, achieving an average F-1 score of 88% with promising experimental results through a two-step strategy to enhance seizure monitoring performance.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
(2021)
Review
Clinical Neurology
Brin E. Freund, Anteneh M. Feyissa
Summary: During the COVID-19 pandemic, the use of electroencephalography (EEG) procedures has decreased, resulting in potential delays in the diagnosis and treatment of epilepsy and non-epileptic seizures. However, the importance of EEG has been reinforced with the development of COVID-related neurological complications, and the value of remote monitoring and EEG devices that minimize patient contact has been highlighted.
FRONTIERS IN NEUROLOGY
(2022)
Article
Clinical Neurology
Martin Hirsch, Yulia Novitskaya, Andreas Schulze-Bonhage
Summary: Treatment decisions in epilepsy depend on information about disease progression, severity and specific local interventions. A patient with pharmaco-resistant non-lesional temporal lobe epilepsy is reported here, where long-term monitoring with a subcutaneous EEG device revealed a much higher seizure frequency than estimated before. This provided objective data on treatment efficacy and played a decisive role in the choice of surgical treatment.
Article
Clinical Neurology
Troels W. Kjaer, Line S. Remvig, Asbjoern W. Helge, Jonas Duun-Henriksen
Summary: This study combined EEG and movement-related modalities to define individual multimodal ictal fingerprints for epilepsy management. Features from acceleration, EMG activity, and EEG bands were used to establish these fingerprints, showing the benefits of integrating multiple modalities for understanding seizure semiology and manifestation.
FRONTIERS IN NEUROLOGY
(2021)
Article
Clinical Neurology
Mitchell A. Frankel, Mark J. Lehmkuhle, Mark C. Spitz, Blake J. Newman, Sindhu Richards, Amir M. Arain
Summary: Epitel has developed Epilog, a miniature, wireless, wearable electroencephalography (EEG) sensor that, when four sensors are combined, creates 10 channels for remote patient monitoring in Epitel's Remote EEG Monitoring platform (REMI). This study aimed to assess epileptologists' accuracy in remotely reviewing the 10-channel EEG montage from Epilog sensors, with and without seizure detection software, showing that using automated seizure detection algorithms can improve detection rates.
FRONTIERS IN NEUROLOGY
(2021)
Article
Clinical Neurology
Line S. Remvig, Jonas Duun-Henriksen, Franz Fuerbass, Manfred Hartmann, Pedro F. Viana, Anne Mette Kappel Overby, Sigge Weisdorf, Mark P. Richardson, Sandor Beniczky, Troels W. Kjaer
Summary: The objective of this study was to evaluate the performance of a subcutaneous EEG-based automatic seizure detection algorithm. The results showed that this algorithm has high sensitivity and clinically applicable specificity. Ultra long-term subcutaneous EEG has the potential to improve objective seizure quantification.
CLINICAL NEUROPHYSIOLOGY
(2022)
Article
Critical Care Medicine
Alexis A. Topjian, Bingqing Zhang, Rui Xiao, France W. Fung, Robert A. Berg, Kathryn Graham, Nicholas S. Abend
Summary: This prospective observational study aimed to assess brain injury severity early after cardiac arrest in infants and children by adding EEG features to predictive models. Standardized EEG scoring was performed, and the final predictive model included demographic/arrest variables and EEG background category, achieving high AUROCs for unfavorable neurobehavioral outcomes and mortality. Findings suggest that adding EEG categories to readily available cardiac arrest variables can significantly improve early stratification of brain injury severity in pediatric patients.
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
Pharmacology & Pharmacy
H. K. Ucar, E. Arhan, K. Aydin, T. Hirfanoglu, A. Serdaroglu
Summary: The study aims to evaluate epilepsy classification in children before and after monitoring, comparing the ILAE and SSC systems. The results show that parents can generally describe seizures well, and both systems can be applied in daily practice.
EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES
(2022)
