Počet záznamů: 1
Electrical brain stimulation and continuous behavioral state tracking in ambulatory humans
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SYSNO ASEP 0554373 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Electrical brain stimulation and continuous behavioral state tracking in ambulatory humans Tvůrce(i) Mívalt, F. (US)
Křemen, V. (US)
Sladký, V. (US)
Balzekas, I. (US)
Nejedlý, Petr (UPT-D) RID, SAI
Gregg, N. M. (US)
Lundstrom, B. N. (US)
Lepková, K. (CZ)
Přidalová, T. (CZ)
Brinkmann, B. H. (US)
Jurák, Pavel (UPT-D) RID, ORCID, SAI
Van Gompel, J. J. (US)
Miller, K. (US)
Denison, T. (GB)
St Louis, E. K. (US)
Worrell, G. A. (US)Celkový počet autorů 16 Číslo článku 016019 Zdroj.dok. Journal of Neural Engineering. - : Institute of Physics Publishing - ISSN 1741-2560
Roč. 19, č. 1 (2022)Poč.str. 13 s. Forma vydání Tištěná - P Jazyk dok. eng - angličtina Země vyd. GB - Velká Británie Klíč. slova electrical brain stimulation ; deep brain stimulation ; implantable devices ; automated sleep scoring ; ambulatory intracranial EEG ; epilepsy Vědní obor RIV FS - Lékařská zařízení, přístroje a vybavení Obor OECD Medical engineering Způsob publikování Open access Institucionální podpora UPT-D - RVO:68081731 UT WOS 000752598200001 EID SCOPUS 85124438003 DOI 10.1088/1741-2552/ac4bfd Anotace Objective. Electrical deep brain stimulation (DBS) is an established treatment for patients with drug-resistant epilepsy. Sleep disorders are common in people with epilepsy, and DBS may actually further disturb normal sleep patterns and sleep quality. Novel implantable devices capable of DBS and streaming of continuous intracranial electroencephalography (iEEG) signals enable detailed assessments of therapy efficacy and tracking of sleep related comorbidities. Here, we investigate the feasibility of automated sleep classification using continuous iEEG data recorded from Papez's circuit in four patients with drug resistant mesial temporal lobe epilepsy using an investigational implantable sensing and stimulation device with electrodes implanted in bilateral hippocampus (HPC) and anterior nucleus of thalamus (ANT). Approach. The iEEG recorded from HPC is used to classify sleep during concurrent DBS targeting ANT. Simultaneous polysomnography (PSG) and sensing from HPC were used to train, validate and test an automated classifier for a range of ANT DBS frequencies: no stimulation, 2 Hz, 7 Hz, and high frequency (>100 Hz). Main results. We show that it is possible to build a patient specific automated sleep staging classifier using power in band features extracted from one HPC iEEG sensing channel. The patient specific classifiers performed well under all thalamic DBS frequencies with an average F1-score 0.894, and provided viable classification into awake and major sleep categories, rapid eye movement (REM) and non-REM. We retrospectively analyzed classification performance with gold-standard PSG annotations, and then prospectively deployed the classifier on chronic continuous iEEG data spanning multiple months to characterize sleep patterns in ambulatory patients living in their home environment. Significance. The ability to continuously track behavioral state and fully characterize sleep should prove useful for optimizing DBS for epilepsy and associated sleep, cognitive and mood comorbidities. Pracoviště Ústav přístrojové techniky Kontakt Martina Šillerová, sillerova@ISIBrno.Cz, Tel.: 541 514 178 Rok sběru 2023 Elektronická adresa https://iopscience.iop.org/article/10.1088/1741-2552/ac4bfd
Počet záznamů: 1