Quantifying the Variability in Resting-State Networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F19%3A43920212" target="_blank" >RIV/00023752:_____/19:43920212 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/67985807:_____/19:00511742

Výsledek na webu

<a href="https://www.researchgate.net/publication/335765319_Quantifying_the_Variability_in_Resting-State_Networks" target="_blank" >https://www.researchgate.net/publication/335765319_Quantifying_the_Variability_in_Resting-State_Networks</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/e21090882" target="_blank" >10.3390/e21090882</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Quantifying the Variability in Resting-State Networks

Popis výsledku v původním jazyce

Recent precision functional mapping of individual human brains has shown that individualbrain organization is qualitatively different from group average estimates and that individualsexhibit distinct brain network topologies. How this variability affects the connectivity withinindividual resting-state networks remains an open question. This is particularly important sincecertain resting-state networks such as the default mode network (DMN) and the fronto-parietalnetwork (FPN) play an important role in the early detection of neurophysiological diseases likeAlzheimer’s, Parkinson’s, and attention deficit hyperactivity disorder. Using different types ofsimilarity measures including conditional mutual information, we show here that the backbone ofthe functional connectivity and the direct connectivity within both the DMN and the FPN does notvary significantly between healthy individuals for the AAL brain atlas. Weaker connections do varyhowever, having a particularly pronounced effect on the cross-connections between DMN and FPN.Our findings suggest that the link topology of single resting-state networks is quite robust if a fixedbrain atlas is used and the recordings are sufficiently long—even if the whole brain network topologybetween different individuals is variable

Název v anglickém jazyce

Quantifying the Variability in Resting-State Networks

Popis výsledku anglicky

Recent precision functional mapping of individual human brains has shown that individualbrain organization is qualitatively different from group average estimates and that individualsexhibit distinct brain network topologies. How this variability affects the connectivity withinindividual resting-state networks remains an open question. This is particularly important sincecertain resting-state networks such as the default mode network (DMN) and the fronto-parietalnetwork (FPN) play an important role in the early detection of neurophysiological diseases likeAlzheimer’s, Parkinson’s, and attention deficit hyperactivity disorder. Using different types ofsimilarity measures including conditional mutual information, we show here that the backbone ofthe functional connectivity and the direct connectivity within both the DMN and the FPN does notvary significantly between healthy individuals for the AAL brain atlas. Weaker connections do varyhowever, having a particularly pronounced effect on the cross-connections between DMN and FPN.Our findings suggest that the link topology of single resting-state networks is quite robust if a fixedbrain atlas is used and the recordings are sufficiently long—even if the whole brain network topologybetween different individuals is variable

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Entropy

ISSN

1099-4300

e-ISSN

—

Svazek periodika

21

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

21

Strana od-do

"Article Number: 882"

Kód UT WoS článku

000489176800066

EID výsledku v databázi Scopus

—