Detailed Information on Publication Record
2020
Cognitive Processing Impacts High Frequency Intracranial EEG Activity of Human Hippocampus in Patients With Pharmacoresistant Focal Epilepsy
CIMBALNIK, Jan, Martin PAIL, Petr KLIMES, Vojtech TRAVNICEK, Robert ROMAN et. al.Basic information
Original name
Cognitive Processing Impacts High Frequency Intracranial EEG Activity of Human Hippocampus in Patients With Pharmacoresistant Focal Epilepsy
Authors
CIMBALNIK, Jan (203 Czech Republic), Martin PAIL (203 Czech Republic, belonging to the institution), Petr KLIMES (203 Czech Republic), Vojtech TRAVNICEK (203 Czech Republic), Robert ROMAN (203 Czech Republic, belonging to the institution), Adam VAJČNER (203 Czech Republic, belonging to the institution) and Milan BRÁZDIL (203 Czech Republic, belonging to the institution)
Edition
FRONTIERS IN NEUROLOGY, LAUSANNE, FRONTIERS MEDIA SA, 2020, 1664-2295
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30103 Neurosciences
Country of publisher
Switzerland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 4.003
RIV identification code
RIV/00216224:14110/20:00117113
Organization unit
Faculty of Medicine
UT WoS
000587686800001
Keywords in English
pharmacoresistant epilepsy; high frequency oscillation (HFO); interictal epileptiform discharge; functional connectivity; hippocampus; cognitive processing
Tags
International impact, Reviewed
Změněno: 26/11/2020 08:22, Mgr. Tereza Miškechová
Abstract
V originále
The electrophysiological EEG features such as high frequency oscillations, spikes and functional connectivity are often used for delineation of epileptogenic tissue and study of the normal function of the brain. The epileptogenic activity is also known to be suppressed by cognitive processing. However, differences between epileptic and healthy brain behavior during rest and task were not studied in detail. In this study we investigate the impact of cognitive processing on epileptogenic and non-epileptogenic hippocampus and the intracranial EEG features representing the underlying electrophysiological processes. We investigated intracranial EEG in 24 epileptic and 24 non-epileptic hippocampi in patients with intractable focal epilepsy during a resting state period and during performance of various cognitive tasks. We evaluated the behavior of features derived from high frequency oscillations, interictal epileptiform discharges and functional connectivity and their changes in relation to cognitive processing. Subsequently, we performed an analysis whether cognitive processing can contribute to classification of epileptic and non-epileptic hippocampus using a machine learning approach. The results show that cognitive processing suppresses epileptogenic activity in epileptic hippocampus while it causes a shift toward higher frequencies in non-epileptic hippocampus. Statistical analysis reveals significantly different electrophysiological reactions of epileptic and non-epileptic hippocampus during cognitive processing, which can be measured by high frequency oscillations, interictal epileptiform discharges and functional connectivity. The calculated features showed high classification potential for epileptic hippocampus (AUC = 0.93). In conclusion, the differences between epileptic and non-epileptic hippocampus during cognitive processing bring new insight in delineation between pathological and physiological processes. Analysis of computed iEEG features in rest and task condition can improve the functional mapping during pre-surgical evaluation and provide additional guidance for distinguishing between epileptic and non-epileptic structure which is absolutely crucial for achieving the best possible outcome with as little side effects as possible.