-
Je něco špatně v tomto záznamu ?
Atlas of the normal intracranial electroencephalogram: neurophysiological awake activity in different cortical areas
B. Frauscher, N. von Ellenrieder, R. Zelmann, I. Doležalová, L. Minotti, A. Olivier, J. Hall, D. Hoffmann, DK. Nguyen, P. Kahane, F. Dubeau, J. Gotman,
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články, multicentrická studie, práce podpořená grantem
Grantová podpora
FDN-143208
CIHR - Canada
NLK
Free Medical Journals
od 1996 do Před 1 rokem
Open Access Digital Library
od 1996-01-01
PubMed
29506200
DOI
10.1093/brain/awy035
Knihovny.cz E-zdroje
- MeSH
- bdění MeSH
- dospělí MeSH
- elektrody MeSH
- elektrokortikografie metody MeSH
- epilepsie diagnostické zobrazování patologie MeSH
- lidé středního věku MeSH
- lidé MeSH
- mapování mozku * MeSH
- mladý dospělý MeSH
- mozková kůra diagnostické zobrazování patofyziologie MeSH
- neurozobrazování MeSH
- spektrální analýza MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
- práce podpořená grantem MeSH
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 cm3 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).
Centre hospitalier de l'Université de Montréal Hôpital Notre Dame Montréal Québec Canada
Montreal Neurological Institute and Hospital McGill University Montreal Quebec Canada
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc19028533
- 003
- CZ-PrNML
- 005
- 20190822084829.0
- 007
- ta
- 008
- 190813s2018 enk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1093/brain/awy035 $2 doi
- 035 __
- $a (PubMed)29506200
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a enk
- 100 1_
- $a Frauscher, Birgit $u Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada. Department of Medicine and Center for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada.
- 245 10
- $a Atlas of the normal intracranial electroencephalogram: neurophysiological awake activity in different cortical areas / $c B. Frauscher, N. von Ellenrieder, R. Zelmann, I. Doležalová, L. Minotti, A. Olivier, J. Hall, D. Hoffmann, DK. Nguyen, P. Kahane, F. Dubeau, J. Gotman,
- 520 9_
- $a 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 cm3 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).
- 650 _2
- $a dospělí $7 D000328
- 650 12
- $a mapování mozku $7 D001931
- 650 _2
- $a mozková kůra $x diagnostické zobrazování $x patofyziologie $7 D002540
- 650 _2
- $a elektrokortikografie $x metody $7 D000069280
- 650 _2
- $a elektrody $7 D004566
- 650 _2
- $a epilepsie $x diagnostické zobrazování $x patologie $7 D004827
- 650 _2
- $a ženské pohlaví $7 D005260
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a mužské pohlaví $7 D008297
- 650 _2
- $a lidé středního věku $7 D008875
- 650 _2
- $a neurozobrazování $7 D059906
- 650 _2
- $a spektrální analýza $7 D013057
- 650 _2
- $a bdění $7 D014851
- 650 _2
- $a mladý dospělý $7 D055815
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a multicentrická studie $7 D016448
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a von Ellenrieder, Nicolas $u Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
- 700 1_
- $a Zelmann, Rina $u Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada. Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.
- 700 1_
- $a Doležalová, Irena $u Brno Epilepsy Center, First Department of Neurology, St. Anne's University Hospital and Faculty of Medicine, Masaryk University Brno, Czech Republic.
- 700 1_
- $a Minotti, Lorella $u Department of Neurology, Grenoble-Alpes University Hospital and Grenoble-Alpes University, Grenoble, France.
- 700 1_
- $a Olivier, André $u Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
- 700 1_
- $a Hall, Jeffery $u Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
- 700 1_
- $a Hoffmann, Dominique $u Department of Neurology, Grenoble-Alpes University Hospital and Grenoble-Alpes University, Grenoble, France.
- 700 1_
- $a Nguyen, Dang Khoa $u Centre hospitalier de l'Université de Montréal - Hôpital Notre-Dame, Montréal, Québec, Canada.
- 700 1_
- $a Kahane, Philippe $u Department of Neurology, Grenoble-Alpes University Hospital and Grenoble-Alpes University, Grenoble, France.
- 700 1_
- $a Dubeau, François $u Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
- 700 1_
- $a Gotman, Jean $u Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
- 773 0_
- $w MED00009356 $t Brain : a journal of neurology $x 1460-2156 $g Roč. 141, č. 4 (2018), s. 1130-1144
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/29506200 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20190813 $b ABA008
- 991 __
- $a 20190822085107 $b ABA008
- 999 __
- $a ok $b bmc $g 1433682 $s 1066993
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2018 $b 141 $c 4 $d 1130-1144 $e 20180401 $i 1460-2156 $m Brain $n Brain $x MED00009356
- GRA __
- $a FDN-143208 $p CIHR $2 Canada
- LZP __
- $a Pubmed-20190813