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

Journal: Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

Volume: 49

Issue: 3

Year of Publication: 2024

Affiliated Institutions:  Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA. Duke-UNC Brain Imaging and Analysis Center, Duke University, Durham, NC, USA. Department of Psychiatry, Amsterdam University Medical Center, Amsterdam, The Netherlands. Del Monte Institute for Neuroscience, University of Rochester Medical Center, Rochester, NY, USA. Department of Psychiatry, Columbia University Medical Center, New York, NY, USA. Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium. Department of Psychiatry, Harvard Medical School, Boston, MA, USA. Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Jiangsu, China. First Department of Neurology, St. Anne's University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic. CEITEC-Central European Institute of Technology, Multimodal and Functional Neuroimaging Research Group, Masaryk University, Brno, Czech Republic. Department of Neurology, University of Utah, Salt Lake City, UT, USA. Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA. Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa. Department of Psychiatry, Stellenbosch University, Cape Town, South Africa. Laboratory for Traumatic Stress Studies, Chinese Academy of Sciences Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China. University Medical Centre Charité, Berlin, Germany. Department of Clinical Psychology, University of Groningen, Groningen, The Netherlands. Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany. Department of Psychiatry and Behavioral Science, Texas A&M University, College Station, TX, USA. Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA. Minneapolis VA Health Care System, Minneapolis, MN, USA. Institute of Medical Psychology and Systems Neuroscience, University of Münster, Münster, Germany. Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI, USA. Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA. Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, USA. Division of Trauma and Acute Care Surgery, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA. Munroe-Meyer Institute, University of Nebraska Medical Center, Omaha, NE, USA. Department of Psychology, Vanderbilt University, Nashville, TN, USA. Veterans Integrated Service Network- Center of Excellence for Research on Returning War Veterans, Waco, TX, USA. Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA. Department of Comparative Medicine, Yale University, New Haven, CT, USA. Duke-UNC Brain Imaging and Analysis Center, Duke University, Durham, NC, USA. rajendra.morey@duke.edu.

Abstract summary 

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.

Authors & Co-authors:  Yang Huggins Sun Baird Haswell Frijling Olff van Zuiden Koch Nawijn Veltman Suarez-Jimenez Zhu Neria Hudson Mueller Baker Lebois Kaufman Qi Lu Říha Rektor Dennis Ching Thomopoulos Salminen Jahanshad Thompson Stein Koopowitz Ipser Seedat du Plessis van den Heuvel Wang Zhu Li Sierk Manthey Walter Daniels Schmahl Herzog Liberzon King Angstadt Davenport Sponheim Disner Straube Hofmann Grupe Nitschke Davidson Larson deRoon-Cassini Blackford Olatunji Gordon May Nelson Abdallah Levy Harpaz-Rotem Krystal Morey Sotiras

Study Outcome 

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Statistics
Citations :  Kilpatrick DG, Resnick HS, Milanak ME, Miller MW, Keyes KM, Friedman MJ. National Estimates of Exposure to Traumatic Events and PTSD Prevalence Using DSM-IV and DSM-5 Criteria. J Trauma Stress. 2013;26:537–47. doi: 10.1002/jts.21848.
Authors :  68
Identifiers
Doi : 10.1038/s41386-023-01763-5
SSN : 1740-634X
Study Population
Male,Female
Mesh Terms
Humans
Other Terms
Study Design
Study Approach
Country of Study
Publication Country
England