Cholinergic modulation supports dynamic switching of resting state networks through selective DMN suppression
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F24%3A43921285" target="_blank" >RIV/00023752:_____/24:43921285 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/67985807:_____/24:00586902 RIV/00023001:_____/24:00084907
Výsledek na webu
<a href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1012099" target="_blank" >https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1012099</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1371/journal.pcbi.1012099" target="_blank" >10.1371/journal.pcbi.1012099</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Cholinergic modulation supports dynamic switching of resting state networks through selective DMN suppression
Popis výsledku v původním jazyce
Brain activity during the resting state is widely used to examine brain organization, cognition and alterations in disease states. While it is known that neuromodulation and the state of alertness impact resting-state activity, neural mechanisms behind such modulation of resting-state activity are unknown. In this work, we used a computational model to demonstrate that change in excitability and recurrent connections, due to cholinergic modulation, impacts resting-state activity. The results of such modulation in the model match closely with experimental work on direct cholinergic modulation of Default Mode Network (DMN) in rodents. We further extended our study to the human connectome derived from diffusion-weighted MRI. In human resting-state simulations, an increase in cholinergic input resulted in a brain-wide reduction of functional connectivity. Furthermore, selective cholinergic modulation of DMN closely captured experimentally observed transitions between the baseline resting state and states with suppressed DMN fluctuations associated with attention to external tasks. Our study thus provides insight into potential neural mechanisms for the effects of cholinergic neuromodulation on resting-state activity and its dynamics.
Název v anglickém jazyce
Cholinergic modulation supports dynamic switching of resting state networks through selective DMN suppression
Popis výsledku anglicky
Brain activity during the resting state is widely used to examine brain organization, cognition and alterations in disease states. While it is known that neuromodulation and the state of alertness impact resting-state activity, neural mechanisms behind such modulation of resting-state activity are unknown. In this work, we used a computational model to demonstrate that change in excitability and recurrent connections, due to cholinergic modulation, impacts resting-state activity. The results of such modulation in the model match closely with experimental work on direct cholinergic modulation of Default Mode Network (DMN) in rodents. We further extended our study to the human connectome derived from diffusion-weighted MRI. In human resting-state simulations, an increase in cholinergic input resulted in a brain-wide reduction of functional connectivity. Furthermore, selective cholinergic modulation of DMN closely captured experimentally observed transitions between the baseline resting state and states with suppressed DMN fluctuations associated with attention to external tasks. Our study thus provides insight into potential neural mechanisms for the effects of cholinergic neuromodulation on resting-state activity and its dynamics.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
30103 - Neurosciences (including psychophysiology)
Návaznosti výsledku
Projekt
<a href="/cs/project/GA21-32608S" target="_blank" >GA21-32608S: Charakterizace stavového repertoáru a dynamiky spontánní mozkové aktivity neurozobrazovacími metodami</a><br>
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
PLoS Computational Biology
ISSN
1553-734X
e-ISSN
1553-7358
Svazek periodika
20
Číslo periodika v rámci svazku
6
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
26
Strana od-do
"Article Number e1012099"
Kód UT WoS článku
001241870900005
EID výsledku v databázi Scopus
2-s2.0-85195496067