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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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