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