Linear and Nonlinear EEG Synchronization in Alzheimer's Disease

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064190%3A_____%2F15%3A%230001068" target="_blank" >RIV/00064190:_____/15:#0001068 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11110/15:10295998 RIV/00216208:11150/15:10295998 RIV/60461373:22340/15:43899364 RIV/00064165:_____/15:10295998

Výsledek na webu

<a href="http://dx.doi.org/10.1007/s11062-015-9496-z" target="_blank" >http://dx.doi.org/10.1007/s11062-015-9496-z</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s11062-015-9496-z" target="_blank" >10.1007/s11062-015-9496-z</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Linear and Nonlinear EEG Synchronization in Alzheimer's Disease

Popis výsledku v původním jazyce

As is known, Alzheimer's disease (AD) is associated with cognitive deficits due to significant neuronal loss. Reduced connectivity might be manifested as changes in the synchronization of electrical activity of collaborating parts of the brain. We used wavelet coherence to estimate linear/nonlinear synchronization between EEG samples recorded from different leads. Mutual information was applied to the complex wavelet coefficients in wavelet scales to estimate nonlinear synchronization. Synchronization rates for a group of 110 patients with moderate AD (MMSE score 10 to 19) and a group of 110 healthy control subjects were compared. The most significant decrease in mutual information in AD patients was observed on the third scale in the fronto-temporal area and for wavelet coherence within the same areas as for mutual information; these areas are preferentially affected by atrophy in AD. The new method used utilizes mutual information in wavelet scales and demonstrates larger discriminatory values in AD compared to wavelet coherence.

Název v anglickém jazyce

Linear and Nonlinear EEG Synchronization in Alzheimer's Disease

Popis výsledku anglicky

As is known, Alzheimer's disease (AD) is associated with cognitive deficits due to significant neuronal loss. Reduced connectivity might be manifested as changes in the synchronization of electrical activity of collaborating parts of the brain. We used wavelet coherence to estimate linear/nonlinear synchronization between EEG samples recorded from different leads. Mutual information was applied to the complex wavelet coefficients in wavelet scales to estimate nonlinear synchronization. Synchronization rates for a group of 110 patients with moderate AD (MMSE score 10 to 19) and a group of 110 healthy control subjects were compared. The most significant decrease in mutual information in AD patients was observed on the third scale in the fronto-temporal area and for wavelet coherence within the same areas as for mutual information; these areas are preferentially affected by atrophy in AD. The new method used utilizes mutual information in wavelet scales and demonstrates larger discriminatory values in AD compared to wavelet coherence.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

FH - Neurologie, neurochirurgie, neurovědy

OECD FORD obor

—

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

NEUROPHYSIOLOGY

ISSN

0090-2977

e-ISSN

—

Svazek periodika

47

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

7

Strana od-do

46-52

Kód UT WoS článku

000354054500009

EID výsledku v databázi Scopus

—