J 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.

Basic information

Original name

Atlas of the normal intracranial electroencephalogram: neurophysiological awake activity in different cortical areas

Authors

FRAUSCHER, Birgit (124 Canada, guarantor), Nicolas von ELLENRIEDER (124 Canada), Rina ZELMANN (124 Canada), Irena DOLEŽALOVÁ (203 Czech Republic, belonging to the institution), Lorella MINOTTI (250 France), Andre OLIVIER (124 Canada), Jeffery HALL (124 Canada), Dominique HOFFMANN (250 France), Khoa Nguyen NGUYEN (124 Canada), Philippe KAHANE (250 France), Francois DUBEAU (124 Canada) and Jean GOTMAN (124 Canada)

Edition

Brain, Oxford, Oxford University Press, 2018, 0006-8950

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30210 Clinical neurology

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 11.814

RIV identification code

RIV/00216224:14110/18:00104095

Organization unit

Faculty of Medicine

UT WoS

000429030300037

Keywords in English

stereo-encephalography; physiology; spectral analysis; human; brain

Tags

Tags

International impact, Reviewed
Změněno: 9/2/2019 20:51, Soňa Böhmová

Abstract

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).