YANG, Jin, Ashley A HUGGINS, Delin SUN, C Lexi BAIRD, Courtney C HASWELL, Jessie L FRIJLING, Miranda OLFF, van Zuiden MIRJAM, Saskia B J KOCH, Laura NAWIJN, Dick J VELTMAN, Benjamin SUAREZ-JIMENEZ, Xi ZHU, Yuval NERIA, Anna R HUDSON, Sven C MUELLER, Justin T BAKER, Lauren A M LEBOIS, Milissa L KAUFMAN, Rongfeng QI, Guang Ming LU, Pavel ŘÍHA, Ivan REKTOR, Emily L DENNIS, Christopher R K CHING, Sophia I THOMOPOULOS, Lauren E SALMINEN, Neda JAHANSHAD, Paul M THOMPSON, Dan J STEIN, Sheri M KOOPOWITZ, Jonathan C IPSER, Soraya SEEDAT, du Plessis STEFAN, Leigh L VAN DEN HEUVEL, Li WANG, Ye ZHU, Gen LI, Anika SIERK, Antje MANTHEY, Henrik WALTER, Judith K DANIELS, Christian SCHMAHL, Julia I HERZOG, Israel LIBERZON, Anthony KING, Mike ANGSTADT, Nicholas D DAVENPORT, Scott R SPONHEIM, Seth G DISNER, Thomas STRAUBE, David HOFMANN, Daniel W GRUPE, Jack B NITSCHKE, Richard J DAVIDSON, Christine L LARSON, Terri A DEROON-CASSINI, Jennifer U BLACKFORD, Bunmi O OLATUNJI, Evan M GORDON, Geoffrey MAY, Steven M NELSON, Chadi G ABDALLAH, Ifat LEVY, Ilan HARPAZ-ROTEM, John H KRYSTAL, Rajendra A MOREY and Aristeidis SOTIRAS. Examining the association between posttraumatic stress disorder and disruptions in cortical networks identified using data-driven methods. Neuropsychopharmacology. London: SPRINGERNATURE, 2024, vol. 49, No 3, p. 609-619. ISSN 0893-133X. Available from: https://dx.doi.org/10.1038/s41386-023-01763-5.
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Basic information
Original name Examining the association between posttraumatic stress disorder and disruptions in cortical networks identified using data-driven methods
Authors YANG, Jin, Ashley A HUGGINS, Delin SUN, C Lexi BAIRD, Courtney C HASWELL, Jessie L FRIJLING, Miranda OLFF, van Zuiden MIRJAM, Saskia B J KOCH, Laura NAWIJN, Dick J VELTMAN, Benjamin SUAREZ-JIMENEZ, Xi ZHU, Yuval NERIA, Anna R HUDSON, Sven C MUELLER, Justin T BAKER, Lauren A M LEBOIS, Milissa L KAUFMAN, Rongfeng QI, Guang Ming LU, Pavel ŘÍHA (203 Czech Republic, belonging to the institution), Ivan REKTOR (203 Czech Republic, belonging to the institution), Emily L DENNIS, Christopher R K CHING, Sophia I THOMOPOULOS, Lauren E SALMINEN, Neda JAHANSHAD, Paul M THOMPSON, Dan J STEIN, Sheri M KOOPOWITZ, Jonathan C IPSER, Soraya SEEDAT, du Plessis STEFAN, Leigh L VAN DEN HEUVEL, Li WANG, Ye ZHU, Gen LI, Anika SIERK, Antje MANTHEY, Henrik WALTER, Judith K DANIELS, Christian SCHMAHL, Julia I HERZOG, Israel LIBERZON, Anthony KING, Mike ANGSTADT, Nicholas D DAVENPORT, Scott R SPONHEIM, Seth G DISNER, Thomas STRAUBE, David HOFMANN, Daniel W GRUPE, Jack B NITSCHKE, Richard J DAVIDSON, Christine L LARSON, Terri A DEROON-CASSINI, Jennifer U BLACKFORD, Bunmi O OLATUNJI, Evan M GORDON, Geoffrey MAY, Steven M NELSON, Chadi G ABDALLAH, Ifat LEVY, Ilan HARPAZ-ROTEM, John H KRYSTAL, Rajendra A MOREY (guarantor) and Aristeidis SOTIRAS.
Edition Neuropsychopharmacology, London, SPRINGERNATURE, 2024, 0893-133X.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30210 Clinical neurology
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 7.600 in 2022
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.1038/s41386-023-01763-5
UT WoS 001123265200001
Keywords in English posttraumatic stress disorder; disruptions; cortical networks
Tags 14110127, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Eva Dubská, učo 77638. Changed: 28/3/2024 11:18.
Abstract
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.
Links
NV18-04-00559, research and development projectName: Neurobiologické a psychologické markery reakce na extrémní stres a jeho dopad na potomky - třígenerační studie přeživších holokaust a jejich potomků
Investor: Ministry of Health of the CR, Neurobiological and psychological markers of reaction to extreme stress and its impact on offspring - three generation study of holocaust survivors and their offspring
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