Article
Clinical Neurology
Robert J. Quon, Stephen Meisenhelter, Edward J. Camp, Markus E. Testorf, Yinchen Song, Qingyuan Song, George W. Culler, Payam Moein, Barbara C. Jobst
Summary: The study utilized an automated method combining template-matching algorithm and CNN to successfully detect intracranial IEDs with high F1 score and AUC. On the external test set, it was able to identify 100% of high-amplitude IED complexes, 96.23% of high amplitude isolated IEDs, and 66.15% of IEDs with atypical morphology.
CLINICAL NEUROPHYSIOLOGY
(2022)
Article
Clinical Neurology
Radek Janca, Petr Jezdik, Matyas Ebel, Adam Kalina, Martin Kudr, Alena Jahodova, David Krysl, Katerina Mackova, Barbora Straka, Petr Marusic, Pavel Krsek
Summary: This study demonstrates that electrophysiological patterns can accurately differentiate FCD types and help predict presurgical MRI findings, providing more precise surgical plans for patients.
CLINICAL NEUROPHYSIOLOGY
(2023)
Article
Clinical Neurology
Anca A. Arbune, Pirgit Meritam Larsen, Stephan Wustenhagen, Daniella Terney, Elena Gardella, Sandor Beniczky
Summary: The study found that more than one third of epileptiform EEG discharges showed a decrease in spiking patterns during seizures, suggesting a potential anticonvulsive function, while the majority of discharges increased in association with seizures.
CLINICAL NEUROPHYSIOLOGY
(2021)
Editorial Material
Clinical Neurology
Jonathan K. Kleen, Kathryn A. Davis
Summary: Do transient bursts of interictal epileptiform activity have a clinically relevant effect on cognition? This study examines the impact of such bursts on cognitive impairment and reaction times. Scalp EEG has demonstrated focal effects of discharges within a particular hemisphere or lobe, while recent intracranial work has provided more functional-anatomic detail and mechanistic studies. However, most clinicians still hesitate to treat the interictal EEG without clear quantitative guidance.
Article
Clinical Neurology
Simon Henin, Anita Shankar, Helen Borges, Adeen Flinker, Werner Doyle, Daniel Friedman, Orrin Devinsky, Gyorgy Buzsaki, Anli Liu
Summary: The spatiotemporal characteristics of cortical high-gamma activity, hippocampal ripple activity, and interictal epileptiform discharges have a significant impact on memory performance during an associative memory task, particularly in the hippocampal region. Interictal epileptiform discharges may impair associative memory by disrupting physiological activity, making them a promising therapeutic target for memory remediation in patients with epilepsy.
Article
Clinical Neurology
Robert J. Quon, Edward J. Camp, Stephen Meisenhelter, Yinchen Song, Sarah A. Steimel, Markus E. Testorf, Angeline S. Andrew, Robert E. Gross, Bradley C. Lega, Michael R. Sperling, Michael J. Kahana, Barbara C. Jobst
Summary: The study investigated the impact of interictal epileptiform discharges (IEDs) on memory performance, finding that increased IED rate, white matter propagation, and localization in the left middle temporal region were associated with poorer memory performance. Specifically for lateral temporal IEDs, there was a significant interaction between IED white matter classification and amplitude, where higher amplitude and white matter propagation were linked to reduced memory performance. Additionally, changes in alpha power after an IED were positively correlated with memory performance.
Article
Clinical Neurology
Robert J. Quon, Stephen Meisenhelter, Richard H. Adamovich-Zeitlin, Yinchen Song, Sarah A. Steimel, Edward J. Camp, Markus E. Testorf, Todd A. MacKenzie, Robert E. Gross, Bradley C. Lega, Michael R. Sperling, Michael J. Kahana, Barbara C. Jobst
Summary: This study evaluates the influence of subject-specific factors on intracranial interictal epileptiform discharge (IED) rates in patients with refractory epilepsy. Antiseizure medication status, time of testing, and seizure onset zone location were found to have the highest impact on IED rates. Factors like SOZ location and ASM status are crucial when analyzing IEDs for clinical or research purposes.
Article
Clinical Neurology
Noa Cohen, Yoram Ebrahimi, Mordekhay Medvedovsky, Guy Gurevitch, Orna Aizenstein, Talma Hendler, Firas Fahoum, Tomer Gazit
Summary: Polymicrogyria is a common brain malformation that can lead to epileptic seizures. By tracking BOLD activations over time, researchers have found that early hemodynamic activity may provide important information to help localize the source of epileptic activity in patients with PMG. The development of IEDs within a small area of the PMG lesion with subsequent wider engagement of brain structures may explain the difficulty in detecting them on scalp EEG.
FRONTIERS IN NEUROLOGY
(2021)
Article
Clinical Neurology
Jonathan K. Kleen, Benjamin A. Speidel, Maxime O. Baud, Vikram R. Rao, Simon G. Ammanuel, Liberty S. Hamilton, Edward F. Chang, Robert C. Knowlton
Summary: This study introduces a new approach to translate intracranial EEG recordings of seizure activity into 3D videos, aiding medical professionals in better understanding the location and spread of epileptic foci with high accuracy. The method can be applied in patients with medically refractory epilepsy, serving as a valuable tool for surgical planning.
Article
Clinical Neurology
Mengrong Miao, Yaqian Han, Ying Zhang, Yuehua Xu, Liyuan Zhang, Yitian Yang, Mingyang Sun, Jiaqiang Zhang
Summary: The study found that the incidence of epileptiform EEG events in children during sevoflurane anesthesia varied from 19.1% to 59.2%. Using a low initial concentration of sevoflurane induction can reduce the incidence of these epileptiform discharges, while longer exposure to high concentration sevoflurane may increase the rate of epileptiform discharges.
CLINICAL NEUROPHYSIOLOGY
(2022)
Article
Clinical Neurology
Franz Furbass, Johannes Koren, Manfred Hartmann, Georg Brandmayr, Sebastian Hafner, Christoph Baumgartner
Summary: This study quantifies the effects of sleep and seizures on IED rates and classifies patients with epilepsy based on their IED activation patterns. Five sub-cohorts with distinct IED activation patterns were identified, showing associations with circadian rhythms, sleep stages, and seizure occurrence.
CLINICAL NEUROPHYSIOLOGY
(2021)
Article
Clinical Neurology
Fabio A. Nascimento, Jaden D. Barfuss, Alex Jaffe, M. Brandon Westover, Jin Jing
Summary: This study designed an algorithm to quantify the six IFCN criteria for identifying interictal epileptiform discharges (IEDs) and estimate the likelihood of a candidate IED being epileptiform. The model's performance was excellent but lower than human experts or a deep neural-network model. The six features of candidate IEDs were of different importance in determining their epileptiform nature, with waveform asymmetry being the most important and duration being the least discriminative. This model may assist clinical electroencephalographers in decision-making and trainees in learning to identify IEDs.
CLINICAL NEUROPHYSIOLOGY
(2023)
Article
Clinical Neurology
Maurice Abou Jaoude, Claire S. Jacobs, Rani A. Sarkis, Jin Jing, Kyle R. Pellerin, Andrew J. Cole, Sydney S. Cash, M. Brandon Westover, Alice D. Lam
Summary: This diagnostic study aimed to develop and validate a machine learning algorithm that accurately detects hippocampal epileptiform activity (HEA) from a standard scalp EEG, providing a novel, noninvasive, quantitative, and clinically relevant biomarker of hippocampal hyperexcitability in humans.
Article
Engineering, Biomedical
Ana Maria Amaro de Sousa, Michel J. A. M. van Putten, Stephanie van den Berg, Maryam Amir Haeri
Summary: Interictal discharges are important signatures of epilepsy and their detection can assist in epilepsy diagnostics. This study explored unsupervised and semi-supervised deep learning approaches for the automatic detection of these discharges in EEG recordings. The best performance was achieved using a semi-supervised approach, with a sensitivity of 81.9% and specificity of 91.7%.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Behavioral Sciences
Francesco Turco, Filippo Sean Giorgi, Michelangelo Maestri, Riccardo Morganti, Alessandro Benedetto, Chiara Milano, Chiara Pizzanelli, Danilo Menicucci, Angelo Gemignani, Francesco Fornai, Gabriele Siciliano, Enrica Bonanni
Summary: The study found that short EDs mainly occurred at night (with peaks at 1 AM and 6 AM) and decreased at the onset of sleep, while long EDs increased at wake onset and remained frequent during wake period compared to sleep. Seizures exclusively occurred during wake period, with 9 out of 13 cases at wake onset. This suggests that short and long EDs may reflect distinct pathophysiological phenomena.
EPILEPSY & BEHAVIOR
(2021)