Detail projektu

Long-term trends of brain excitability in epilepsy

Období řešení: 01.01.2022 — 31.12.2022

Zdroje financování

Evropská unie - Interní grantová soutěž

- plně financující (2022-01-01 - 2022-12-31)

O projektu

Interictal epileptiform discharges (IED) are an electrophysiological manifestation of synchronous neuronal brain activity related to elevated brain excitability. IEDs are typical for patients with epilepsy. IED rates were found to be associated with biorhythmic patterns and with a higher risk of epileptic seizures. However, qualitative changes in the IED properties are still not well described. This project aims to describe qualitative IED changes related to circadian rhythms and epileptic seizures.

Klíčová slova
Epilepsy, intracranial EEG, chronic EEG, Interictal Epileptiform Discharges, seizures, circadian rhythms, long-term interictal encephalography

Označení

FEKT-K-22-7649

Originální jazyk

angličtina

Řešitelé

Mívalt Filip, Ing., M.Sc. - hlavní řešitel
Trávníček Vojtěch, Ing. - spoluřešitel

Útvary

Fakulta elektrotechniky a komunikačních technologií
- příjemce (01.01.2022 - 31.12.2022)

Výsledky

MÍVALT, F.; KŘEMEN, V.; SLADKÝ, V.; BALZEKAS, I.; NEJEDLÝ, P.; GREGG, N.; LUNDSTROM, B.; LEPKOVÁ, K.; PŘIDALOVÁ, T.; BRINKMANN, B.; JURÁK, P.; VAN GOMPEL, J.; MILLER, K.; DENISON, T.; ST LOUIS, E.; WORRELL, G. Electrical brain stimulation and continuous behavioral state tracking in ambulatory humans. Journal of Neural Engineering, 2022, vol. 19, no. 1, p. 1-13. ISSN: 1741-2552.
Detail

NOVÁK, V. Proceedings I of the 28th Conference STUDENT EEICT 2022 General papers. Proceedings I of the 28th Conference STUDENT EEICT 2022 General papers. 1. Brno: Brno University of Technology, Faculty of Electrical Engineering and Communication, 2022. ISBN: 978-80-214-6029-4.
Detail

SLADKÝ, V.; NEJEDLÝ, P.; MÍVALT, F.; BRINKMANN, B.; KIM, I.; ST LOUIS, E.; GREGG, N.; LUNDSTROM, B.; CROWE, C.; ATTIA, T.; CREPEAU, D.; BALZEKAS, I.; MARKS, V.; WHEELER, L.; CIMBÁLNÍK, J.; COOK, M.; JANCA, R.; STURGES, B.; LEYDE, K.; MILLER, K.; VAN GOMPEL, J.; DENISON, T.; WORRELL, G.; KŘEMEN, V. Distributed brain co-processor for tracking spikes, seizures and behaviour during electrical brain stimulation. Brain Communications, 2022, vol. 4, no. 3, ISSN: 2632-1297.
Detail

TRÁVNÍČEK, V.; CIMBÁLNÍK, J., KLIMES P., ABDOULAH CH., DUBEAU F., FRAUSCHER B. The impact of the choice of the time segment on the distribution of spikes in intracranial EEG. 2022.
Detail

SLADKÝ, V.; KŘEMEN, V.; MCQUOWN, K.; MÍVALT, F.; BRINKMANN, B.; VAN GOMPEL, J.; MILLER, K.; DENISON, T.; WORRELL, G. Integrated human-machine interface for closed-loop stimulation using implanted and wearable devices. In 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Prague. Czechia: 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022. p. 1730-1735. ISBN: 978-1-6654-5258-8.
Detail

MÍVALT, F.; SLADKÝ, V.; BALZEKAS, I.; PŘIDALOVÁ, T.; MILLER, K.; VAN GOMPEL, J.; DENISON, T.; BRINKMANN, B.; KŘEMEN, V.; WORRELL, G. Deep Generative Networks for Algorithm Development in Implantable Neural Technology. In 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Prague. Czechia: IEEE, 2022. p. 1736-1741. ISBN: 978-1-6654-5258-8.
Detail

MÍVALT, F.; KŘEMEN, V.; SLADKÝ, V.; PŘIDALOVÁ, T.; LEPKOVÁ, K.; WORRELL, G.: BEST; Behavioral State Analysis Toolbox (BEST). GitHub, PyPI (Python Package Index). URL: https://github.com/mselair/best_toolbox. (software)
Detail

Odpovědnost: Mívalt Filip, Ing., M.Sc.