Zobrazeno 1 - 10
of 1 493
pro vyhledávání: '"Scalp EEG"'
Autor:
Mattia Mercier, Chiara Pepi, Giusy Carfi-Pavia, Alessandro De Benedictis, Maria Camilla Rossi Espagnet, Greta Pirani, Federico Vigevano, Carlo Efisio Marras, Nicola Specchio, Luca De Palma
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Epilepsy surgery is effective for patients with medication-resistant seizures, however 20–40% of them are not seizure free after surgery. Aim of this study is to evaluate the role of linear and non-linear EEG features to predict post-surgi
Externí odkaz:
https://doaj.org/article/ed4209e5482f4b9eaaf8a748a6258e1f
Autor:
Anna Bolzan, Jeanne Benoit, Francesca Pizzo, Julia Makhalova, Nathalie Villeneuve, Romain Carron, Didier Scavarda, Fabrice Bartolomei, Stanislas Lagarde
Publikováno v:
Epilepsia Open, Vol 9, Iss 2, Pp 568-581 (2024)
Abstract Objective Our objective was to evaluate the relationship between scalp‐EEG and stereoelectroencephalography (SEEG) seizure‐onset patterns (SOP) in patients with MRI‐negative drug‐resistant focal epilepsy. Methods We analyzed retrospe
Externí odkaz:
https://doaj.org/article/2eb92d8cda3f452793cf780577651b28
Autor:
Hanane Moumane, Jérémy Pazuelo, Mérie Nassar, Jose Yesith Juez, Mario Valderrama, Michel Le Van Quyen
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
IntroductionWearable in-ear electroencephalographic (EEG) devices hold significant promise for integrating brain monitoring technologies into real-life applications. However, despite the introduction of various in-ear EEG systems, there remains a nec
Externí odkaz:
https://doaj.org/article/0a3a1a01439b4fadb12702c783db34cc
Autor:
Ioana M. A. Samfira, Aristea S. Galanopoulou, Hiroki Nariai, Jonathan M. Gursky, Solomon L. Moshé, Berj L. Bardakjian
Publikováno v:
Epilepsia Open, Vol 9, Iss 1, Pp 122-137 (2024)
Abstract Objective Infantile epileptic spasms (IS) are epileptic seizures that are associated with increased risk for developmental impairments, adult epilepsies, and mortality. Here, we investigated coherence‐based network dynamics in scalp EEG of
Externí odkaz:
https://doaj.org/article/c1417ab3a04b4770802ddc5eb2821cae
Autor:
Dorottya Cserpan, Greta Guidi, Beatrice Alessandri, Tommaso Fedele, Andrea Rüegger, Francesco Pisani, Johannes Sarnthein, Georgia Ramantani
Publikováno v:
Epilepsia Open, Vol 8, Iss 4, Pp 1491-1502 (2023)
Abstract Objective We aimed to investigate (1) whether an automated detector can capture scalp high‐frequency oscillations (HFO) in neonates and (2) whether scalp HFO rates can differentiate neonates with seizures from healthy neonates. Methods We
Externí odkaz:
https://doaj.org/article/cd23faf2db3844b497f4f8b14c6d4513
Publikováno v:
In Biomedical Signal Processing and Control April 2025 102
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2024)
Depression is a global disease that is harmful to people. Traditional identification methods based on various scales are not objective and accurate enough. Electroencephalogram (EEG) contains abundant physiological information, which makes it a new r
Externí odkaz:
https://doaj.org/article/0dd377276b2040dab6d6a418d1614cbb
Publikováno v:
Mathematics, Vol 12, Iss 11, p 1727 (2024)
Topological data analysis (TDA) has proven to be a potent approach for extracting intricate topological structures from complex and high-dimensional data. In this paper, we propose a TDA-based processing pipeline for analyzing multi-channel scalp EEG
Externí odkaz:
https://doaj.org/article/8276b3c565c14d05883eba12928d3012
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Akademický článek
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