Personalised virtual brain models in epilepsy

V Jirsa, H Wang, P Triebkorn, M Hashemi… - The Lancet …, 2023‏ - thelancet.com
Individuals with drug-resistant focal epilepsy are candidates for surgical treatment as a
curative option. Before surgery can take place, the patient must have a presurgical …

[HTML][HTML] EEG biomarker candidates for the identification of epilepsy

S Gallotto, M Seeck - Clinical Neurophysiology Practice, 2023‏ - Elsevier
Electroencephalography (EEG) is one of the main pillars used for the diagnosis and study of
epilepsy, readily employed after a possible first seizure has occurred. The most established …

Deep neural networks constrained by neural mass models improve electrophysiological source imaging of spatiotemporal brain dynamics

R Sun, A Sohrabpour, GA Worrell, B He - Proceedings of the National …, 2022‏ - pnas.org
Many efforts have been made to image the spatiotemporal electrical activity of the brain with
the purpose of map** its function and dysfunction as well as aiding the management of …

Spike ripples localize the epileptogenic zone best: an international intracranial study

W Shi, D Shaw, KG Walsh, X Han, UT Eden… - Brain, 2024‏ - academic.oup.com
We evaluated whether spike ripples, the combination of epileptiform spikes and ripples,
provide a reliable and improved biomarker for the epileptogenic zone compared with other …

Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators

M Hashemi, AN Vattikonda, J Jha, V Sip… - Neural Networks, 2023‏ - Elsevier
Whole-brain modeling of epilepsy combines personalized anatomical data with dynamical
models of abnormal activities to generate spatio-temporal seizure patterns as observed in …

Robust compression and detection of epileptiform patterns in ECoG using a real-time spiking neural network hardware framework

F Costa, EV Schaft, G Huiskamp, EJ Aarnoutse… - Nature …, 2024‏ - nature.com
Abstract Interictal Epileptiform Discharges (IED) and High Frequency Oscillations (HFO) in
intraoperative electrocorticography (ECoG) may guide the surgeon by delineating the …

Strenuous exercise-tolerance stretchable dry electrodes for continuous multi-channel electrophysiological monitoring

R **e, Q Li, L Teng, Z Cao, F Han, Q Tian, J Sun… - NPJ Flexible …, 2022‏ - nature.com
Electrophysiological monitoring under strenuous exercise by using stretchable dry
electrodes is vital for healthcare monitoring, prosthetic control, human− machine interfaces …

A neuromorphic spiking neural network detects epileptic high frequency oscillations in the scalp EEG

K Burelo, G Ramantani, G Indiveri, J Sarnthein - Scientific Reports, 2022‏ - nature.com
Abstract Interictal High Frequency Oscillations (HFO) are measurable in scalp EEG. This
development has aroused interest in investigating their potential as biomarkers of …

Passive and active markers of cortical excitability in epilepsy

G Ramantani, MB Westover, S Gliske, J Sarnthein… - …, 2023‏ - Wiley Online Library
Electroencephalography (EEG) has been the primary diagnostic tool in clinical epilepsy for
nearly a century. Its review is performed using qualitative clinical methods that have …

Quantitative analysis of visually reviewed normal scalp EEG predicts seizure freedom following anterior temporal lobectomy

Y Varatharajah, B Joseph, B Brinkmann… - …, 2022‏ - Wiley Online Library
Objective Anterior temporal lobectomy (ATL) is a widely performed and successful
intervention for drug‐resistant temporal lobe epilepsy (TLE). However, up to one third of …