Quantifying the Variability in Resting-State Networks

Result code in 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>

Alternative codes found

RIV/67985807:_____/19:00511742

Result on the web

<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>

Result language

angličtina

Original language name

Quantifying the Variability in Resting-State Networks

Original language description

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

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

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

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

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

Publication year

2019

Confidentiality

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

Name of the periodical

Entropy

ISSN

1099-4300

e-ISSN

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Volume of the periodical

21

Issue of the periodical within the volume

9

Country of publishing house

CH - SWITZERLAND

Number of pages

21

Pages from-to

"Article Number: 882"

UT code for WoS article

000489176800066

EID of the result in the Scopus database

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