Aberrant information flow within resting-state triple network model in schizophrenia-An EEG effective connectivity study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F25%3A00081802" target="_blank" >RIV/65269705:_____/25:00081802 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14110/25:00142879
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S092549272500040X" target="_blank" >https://www.sciencedirect.com/science/article/pii/S092549272500040X</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.pscychresns.2025.111985" target="_blank" >10.1016/j.pscychresns.2025.111985</a>
Alternative languages
Result language
angličtina
Original language name
Aberrant information flow within resting-state triple network model in schizophrenia-An EEG effective connectivity study
Original language description
Schizophrenia is a psychiatric disorder with heterogeneous clinical manifestations and complex aetiology. Notably, the triple-network model proposes an interesting framework for investigating abnormal neurocircuit activity at rest in schizophrenia.The present study on 30 chronic schizophrenia individuals and 30 controls aimed to explore the differences in EEG resting state effective connectivity within a triple-network model using source-localization-based Directed Transfer Function.Our findings revealed multiband effective connectivity disturbances within default mode (DMN), central ex-ecutive (CEN), and salience (SN) networks in schizophrenia. The most significant difference was manifested in a global DMN hyperconnectivity, accompanied by low-band hyperconnectivity and high-band hypoconnectivity in CEN, along with the aberrant information flows in SN.In conclusion, our study presents novel insights into schizophrenia neuropathology, with a particular emphasis on the reversed directionality in information flows between hubs of SN, DMN, and CEN. This may be suggested as a promising biomarker of schizophrenia.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30215 - Psychiatry
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Psychiatry Research-Neuroimaging
ISSN
0925-4927
e-ISSN
1872-7506
Volume of the periodical
349
Issue of the periodical within the volume
JUN 2025
Country of publishing house
IE - IRELAND
Number of pages
9
Pages from-to
111985
UT code for WoS article
001456010000001
EID of the result in the Scopus database
2-s2.0-105000477909