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Examining the association between posttraumatic stress disorder and disruptions in cortical networks identified using data-driven methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F24%3A00139931" target="_blank" >RIV/00216224:14110/24:00139931 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.nature.com/articles/s41386-023-01763-5" target="_blank" >https://www.nature.com/articles/s41386-023-01763-5</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1038/s41386-023-01763-5" target="_blank" >10.1038/s41386-023-01763-5</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Examining the association between posttraumatic stress disorder and disruptions in cortical networks identified using data-driven methods

  • Original language description

    Posttraumatic stress disorder (PTSD) is associated with lower cortical thickness (CT) in prefrontal, cingulate, and insular cortices in diverse trauma-affected samples. However, some studies have failed to detect differences between PTSD patients and healthy controls or reported that PTSD is associated with greater CT. Using data-driven dimensionality reduction, we sought to conduct a well-powered study to identify vulnerable networks without regard to neuroanatomic boundaries. Moreover, this approach enabled us to avoid the excessive burden of multiple comparison correction that plagues vertex-wise methods. We derived structural covariance networks (SCNs) by applying non-negative matrix factorization (NMF) to CT data from 961 PTSD patients and 1124 trauma-exposed controls without PTSD. We used regression analyses to investigate associations between CT within SCNs and PTSD diagnosis (with and without accounting for the potential confounding effect of trauma type) and symptom severity in the full sample. We performed additional regression analyses in subsets of the data to examine associations between SCNs and comorbid depression, childhood trauma severity, and alcohol abuse. NMF identified 20 unbiased SCNs, which aligned closely with functionally defined brain networks. PTSD diagnosis was most strongly associated with diminished CT in SCNs that encompassed the bilateral superior frontal cortex, motor cortex, insular cortex, orbitofrontal cortex, medial occipital cortex, anterior cingulate cortex, and posterior cingulate cortex. CT in these networks was significantly negatively correlated with PTSD symptom severity. Collectively, these findings suggest that PTSD diagnosis is associated with widespread reductions in CT, particularly within prefrontal regulatory regions and broader emotion and sensory processing cortical regions.

  • 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

    30210 - Clinical neurology

Result continuities

  • Project

    <a href="/en/project/NV18-04-00559" target="_blank" >NV18-04-00559: Neurobiological and psychological markers of reaction to extreme stress and its impact on offspring - three generation study of holocaust survivors and their offspring</a><br>

  • Continuities

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

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Neuropsychopharmacology

  • ISSN

    0893-133X

  • e-ISSN

    1740-634X

  • Volume of the periodical

    49

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    11

  • Pages from-to

    609-619

  • UT code for WoS article

    001123265200001

  • EID of the result in the Scopus database

    2-s2.0-85177736426