Face-induced gamma oscillations and event-related potentials in patients with epilepsy: an intracranial EEG study
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2202
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Face-induced gamma oscillations and event-related potentials in patients with epilepsy: an intracranial EEG study ; volume:23 ; number:1 ; day:13 ; month:6 ; year:2022 ; pages:1-17 ; date:12.2022
BMC neuroscience ; 23, Heft 1 (13.6.2022), 1-17, 12.2022
- Creator
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Kim, Ji-Won
Brückner, Katja E.
Badenius, Celina
Hamel, Wolfgang
Schaper, Miriam
Le Van Quyen, Michel
El-Allawy-Zielke, Elisa K.
Stodieck, Stefan R. G.
Hebel, Jonas M.
Lanz, Michael
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12868-022-00715-x
- URN
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urn:nbn:de:101:1-2022080711393981242114
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:33 AM CEST
Data provider
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Associated
- Kim, Ji-Won
- Brückner, Katja E.
- Badenius, Celina
- Hamel, Wolfgang
- Schaper, Miriam
- Le Van Quyen, Michel
- El-Allawy-Zielke, Elisa K.
- Stodieck, Stefan R. G.
- Hebel, Jonas M.
- Lanz, Michael
- SpringerLink (Online service)
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Face-induced gamma oscillations and event-related potentials in patients with epilepsy – an intracranial EEG study
SEREEGA: Simulating event-related EEG activity
Variability in the location of high frequency oscillations during prolonged intracranial EEG recordings
Intracranial Vascular Malformations and Epilepsy
Predictive modeling of evoked intracranial EEG response to medial temporal lobe stimulation in patients with epilepsy
P300 event-related potentials in people with epilepsy: clinico-neurophysiologic study
Event-related EEG oscillatory responses elicited by dynamic facial expression
Epilepsy EEG classification using morphological component analysis
Theta oscillations in a model of temporal lobe epilepsy
Hippocampal oscillations in a model of temporal lobe epilepsy
Ictal-onset localization through effective connectivity analysis based on RNN-GC with intracranial EEG signals in patients with epilepsy