Aberrant information flow within resting-state triple network model in schizophrenia-An EEG effective connectivity study

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216224:14110/25:00142879

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Aberrant information flow within resting-state triple network model in schizophrenia-An EEG effective connectivity study

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Aberrant information flow within resting-state triple network model in schizophrenia-An EEG effective connectivity study

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30215 - Psychiatry

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Psychiatry Research-Neuroimaging

ISSN

0925-4927

e-ISSN

1872-7506

Svazek periodika

349

Číslo periodika v rámci svazku

JUN 2025

Stát vydavatele periodika

IE - Irsko

Počet stran výsledku

9

Strana od-do

111985

Kód UT WoS článku

001456010000001

EID výsledku v databázi Scopus

2-s2.0-105000477909