• Je něco špatně v tomto záznamu ?

Age-related changes in EEG coherence

O. Vysata, J. Kukal, A. Prochazka, L. Pazdera, J. Simko, M. Valis,

. 2014 ; 48 (1) : 35-8.

Jazyk angličtina Země Polsko

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc14063685

BACKGROUND AND PURPOSE: Coherence changes can reflect the pathophysiological processes involved in human ageing. We conducted a retrospective population study that sought to analyze the age-related changes in EEG coherence in a group of 17,722 healthy professional drivers. MATERIALS AND METHODS: The EEGs were obtained using a standard 10-20 electrode configuration on the scalp. The recordings from 19 scalp electrodes were taken while the participants' eyes were closed. The linear correlations between the age and coherence were estimated by linear regression analysis. RESULTS: Our results showed a significant decrease in coherence with age in the theta and alpha bands, and there was an increasing coherence with the beta bands. The most prominent changes occurred in the alpha bands. The delta bands contained movement artefacts, which most likely do not change with age. CONCLUSIONS: The age-related EEG desynchrony can be partly explained by the age-related reduction of cortical connectivity. Higher frequencies of oscillations require less cortical area of high coherence. These findings explain why the lowest average coherence values were observed in the beta and sigma bands, as well as why the beta bands show borderline statistical significance and the sigma bands show non-significance. The age-dependent decrease in coherence may influence the estimation of age-related changes in EEG energy due to phase cancellation.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc14063685
003      
CZ-PrNML
005      
20140710094743.0
007      
ta
008      
140704s2014 pl f 000 0|eng||
009      
AR
024    7_
$a 10.1016/j.pjnns.2013.09.001 $2 doi
035    __
$a (PubMed)24636768
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a pl
100    1_
$a Vysata, Oldrich $u Department of Neurology, Charles University in Prague, Faculty Hospital Hradec Kralove, Czech Republic; Department of Computing and Control Engineering, Institute of Chemical Technology, Prague, Czech Republic. Electronic address: vysata@neurol.cz.
245    10
$a Age-related changes in EEG coherence / $c O. Vysata, J. Kukal, A. Prochazka, L. Pazdera, J. Simko, M. Valis,
520    9_
$a BACKGROUND AND PURPOSE: Coherence changes can reflect the pathophysiological processes involved in human ageing. We conducted a retrospective population study that sought to analyze the age-related changes in EEG coherence in a group of 17,722 healthy professional drivers. MATERIALS AND METHODS: The EEGs were obtained using a standard 10-20 electrode configuration on the scalp. The recordings from 19 scalp electrodes were taken while the participants' eyes were closed. The linear correlations between the age and coherence were estimated by linear regression analysis. RESULTS: Our results showed a significant decrease in coherence with age in the theta and alpha bands, and there was an increasing coherence with the beta bands. The most prominent changes occurred in the alpha bands. The delta bands contained movement artefacts, which most likely do not change with age. CONCLUSIONS: The age-related EEG desynchrony can be partly explained by the age-related reduction of cortical connectivity. Higher frequencies of oscillations require less cortical area of high coherence. These findings explain why the lowest average coherence values were observed in the beta and sigma bands, as well as why the beta bands show borderline statistical significance and the sigma bands show non-significance. The age-dependent decrease in coherence may influence the estimation of age-related changes in EEG energy due to phase cancellation.
650    _2
$a dospělí $7 D000328
650    _2
$a senioři $7 D000368
650    _2
$a stárnutí $x fyziologie $7 D000375
650    _2
$a algoritmy $7 D000465
650    _2
$a alfa rytmus EEG $x fyziologie $7 D000513
650    _2
$a beta rytmus EEG $x fyziologie $7 D001611
650    _2
$a interpretace statistických dat $7 D003627
650    _2
$a delta rytmus EEG $x fyziologie $7 D003700
650    12
$a elektroencefalografie $7 D004569
650    _2
$a elektroencefalografická fázová synchronizace $x fyziologie $7 D058407
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 retrospektivní studie $7 D012189
650    _2
$a theta rytmus EEG $x fyziologie $7 D013826
650    _2
$a mladý dospělý $7 D055815
655    _2
$a časopisecké články $7 D016428
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Kukal, Jaromir $u Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering, Prague, Czech Republic.
700    1_
$a Prochazka, Ales $u Department of Computing and Control Engineering, Institute of Chemical Technology, Prague, Czech Republic.
700    1_
$a Pazdera, Ladislav $u Neurocenter Caregroup, Rychnov nad Kneznou, Czech Republic.
700    1_
$a Simko, Julius $u Department of Neurology, Charles University in Prague, Faculty Hospital Hradec Kralove, Czech Republic.
700    1_
$a Valis, Martin $u Department of Neurology, Charles University in Prague, Faculty Hospital Hradec Kralove, Czech Republic.
773    0_
$w MED00003489 $t Neurologia i neurochirurgia polska $x 0028-3843 $g Roč. 48, č. 1 (2014), s. 35-8
856    41
$u https://pubmed.ncbi.nlm.nih.gov/24636768 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20140704 $b ABA008
991    __
$a 20140710095036 $b ABA008
999    __
$a ok $b bmc $g 1031169 $s 862417
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2014 $b 48 $c 1 $d 35-8 $i 0028-3843 $m Neurologia i Neurochirurgia Polska $n Neurol Neurochir Pol $x MED00003489
LZP    __
$a Pubmed-20140704

Najít záznam

Citační ukazatele

Možnosti archivace