2018
Atlas of the normal intracranial electroencephalogram: neurophysiological awake activity in different cortical areas
FRAUSCHER, Birgit, Nicolas von ELLENRIEDER, Rina ZELMANN, Irena DOLEŽALOVÁ, Lorella MINOTTI et. al.Základní údaje
Originální název
Atlas of the normal intracranial electroencephalogram: neurophysiological awake activity in different cortical areas
Autoři
FRAUSCHER, Birgit (124 Kanada, garant), Nicolas von ELLENRIEDER (124 Kanada), Rina ZELMANN (124 Kanada), Irena DOLEŽALOVÁ (203 Česká republika, domácí), Lorella MINOTTI (250 Francie), Andre OLIVIER (124 Kanada), Jeffery HALL (124 Kanada), Dominique HOFFMANN (250 Francie), Khoa Nguyen NGUYEN (124 Kanada), Philippe KAHANE (250 Francie), Francois DUBEAU (124 Kanada) a Jean GOTMAN (124 Kanada)
Vydání
Brain, Oxford, Oxford University Press, 2018, 0006-8950
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
30210 Clinical neurology
Stát vydavatele
Velká Británie a Severní Irsko
Utajení
není předmětem státního či obchodního tajemství
Impakt faktor
Impact factor: 11.814
Kód RIV
RIV/00216224:14110/18:00104095
Organizační jednotka
Lékařská fakulta
UT WoS
000429030300037
Klíčová slova anglicky
stereo-encephalography; physiology; spectral analysis; human; brain
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 9. 2. 2019 20:51, Soňa Böhmová
Anotace
V originále
In contrast to scalp EEG, our knowledge of the normal physiological intracranial EEG activity is scarce. This multicentre study provides an atlas of normal intracranial EEG of the human brain during wakefulness. Here we present the results of power spectra analysis during wakefulness. Intracranial electrodes are placed in or on the brain of epilepsy patients when candidates for surgical treatment and non-invasive approaches failed to sufficiently localize the epileptic focus. Electrode contacts are usually in cortical regions showing epileptic activity, but some are placed in normal regions, at distance from the epileptogenic zone or lesion. Intracranial EEG channels defined using strict criteria as very likely to be in healthy brain regions were selected from three tertiary epilepsy centres. All contacts were localized in a common stereotactic space allowing the accumulation and superposition of results from many subjects. Sixty-second artefact-free sections during wakefulness were selected. Power spectra were calculated for 38 brain regions, and compared to a set of channels with no spectral peaks in order to identify significant peaks in the different regions. A total of 1785 channels with normal brain activity from 106 patients were identified. There were on average 2.7 channels per cm 3 of cortical grey matter. The number of contacts per brain region averaged 47 (range 6-178). We found significant differences in the spectral density distributions across the different brain lobes, with beta activity in the frontal lobe (20-24 Hz), a clear alpha peak in the occipital lobe (9.25-10.25 Hz), intermediate alpha (8.25-9.25 Hz) and beta (17-20 Hz) frequencies in the parietal lobe, and lower alpha (7.75-8.25 Hz) and delta (0.75-2.25 Hz) peaks in the temporal lobe. Some cortical regions showed a specific electrophysiological signature: peaks present in > 60% of channels were found in the precentral gyrus (lateral: peak frequency range, 20-24 Hz; mesial: 24-30 Hz), opercular part of the inferior frontal gyrus (20-24 Hz), cuneus (7.75-8.75 Hz), and hippocampus (0.75-1.25 Hz). Eight per cent of all analysed channels had more than one spectral peak; these channels were mostly recording from sensory and motor regions. Alpha activity was not present throughout the occipital lobe, and some cortical regions showed peaks in delta activity during wakefulness. This is the first atlas of normal intracranial EEG activity; it includes dense coverage of all cortical regions in a common stereotactic space, enabling direct comparisons of EEG across subjects. This atlas provides a normative baseline against which clinical EEGs and experimental results can be compared. It is provided as an open web resource (https://mni-open-ieegatlas.research.mcgill.ca).