A Whole-Brain Model of the Aging Brain During Slow Wave Sleep

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F24%3A00138902" target="_blank" >RIV/00216224:14740/24:00138902 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1523/ENEURO.0180-24.2024" target="_blank" >https://doi.org/10.1523/ENEURO.0180-24.2024</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1523/ENEURO.0180-24.2024" target="_blank" >10.1523/ENEURO.0180-24.2024</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A Whole-Brain Model of the Aging Brain During Slow Wave Sleep

Popis výsledku v původním jazyce

Age-related brain changes affect sleep and are reflected in properties of sleep slow-waves, however, the precise mechanisms behind these changes are still not completely understood. Here, we adapt a previously established whole-brain model relating structural connectivity changes to resting state dynamics, and extend it to a slow-wave sleep brain state. In particular, starting from a representative connectome at the beginning of the aging trajectory, we have gradually reduced the inter-hemispheric connections, and simulated sleep-like slow-wave activity. We show that the main empirically observed trends, namely a decrease in duration and increase in variability of the slow waves are captured by the model. Furthermore, comparing the simulated EEG activity to the source signals, we suggest that the empirically observed decrease in amplitude of the slow waves is caused by the decrease in synchrony between brain regions.

Název v anglickém jazyce

A Whole-Brain Model of the Aging Brain During Slow Wave Sleep

Popis výsledku anglicky

Age-related brain changes affect sleep and are reflected in properties of sleep slow-waves, however, the precise mechanisms behind these changes are still not completely understood. Here, we adapt a previously established whole-brain model relating structural connectivity changes to resting state dynamics, and extend it to a slow-wave sleep brain state. In particular, starting from a representative connectome at the beginning of the aging trajectory, we have gradually reduced the inter-hemispheric connections, and simulated sleep-like slow-wave activity. We show that the main empirically observed trends, namely a decrease in duration and increase in variability of the slow waves are captured by the model. Furthermore, comparing the simulated EEG activity to the source signals, we suggest that the empirically observed decrease in amplitude of the slow waves is caused by the decrease in synchrony between brain regions.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30103 - Neurosciences (including psychophysiology)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

ENEURO

ISSN

2373-2822

e-ISSN

2373-2822

Svazek periodika

11

Číslo periodika v rámci svazku

11

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

12

Strana od-do

1-12

Kód UT WoS článku

001350900800001

EID výsledku v databázi Scopus

2-s2.0-85208772154