1. Structural Covariance Networks in Post-Traumatic Stress Disorder: A Multisite ENIGMA-PGC Study
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John H. Krystal, Mary Agnes McMahon, Justin T. Baker, Chadi G. Abdallah, Steven J.A. van de Werff, Laura Nawijn, Kathleen Thomaes, Sanne J.H. van Rooij, Courtney C. Haswell, Anna R. Hudson, Richard J. Davidson, Mirjam van Zuiden, Kelly A. Sambrook, Elpiniki Andrew, Geoffrey J May, Brian M. O’Leary, Tor D. Wager, Seth G. Disner, Dan J. Stein, Tanja Jovanovic, Milissa L. Kaufman, Martha E. Shenton, Anika Sierk, Elbert Geuze, Matthew Peverill, Soraya Seedat, Scott R. Sponheim, Hassaan Gomaa, Margaret A. Sheridan, Kyle Choi, Jonathan D. Wolff, Richard A. Bryant, Amit Etkin, Terri A. deRoon-Cassini, Emily L. Dennis, Brynn C. Skilliter, Faisal Rashid, Nic J.A. van de Wee, K. Mike Angstadt, Neda Jahanshad, Yuval Neria, Murray B. Stein, Katie A. McLaughlin, Daniel W. Grupe, Erika J. Wolf, Luan Phan, Kristen M. Wrocklage, Xin Wang, Antje Manthey, Emily K. Clarke-Rubright, Tian Chen, Anthony P. King, Julia Herzog, Evan M. Gordon, Sven C. Mueller, Tim Varkevisser, Hong Xie, Isabelle M. Rosso, Alan N. Simmons, Delin Sun, Stefan S. du Plessis, Jonathan C Ipser, Benjamin Suarez-Jimenez, Mark W. Logue, Henrik Walter, Ilan Harpaz-Rotem, Jessica Bomyea, Lauren A.M. Lebois, Inga K. Koerte, Li Wang, Raluca M. Simons, Bobak Hosseini, Atilla Gonenc, Saskia B. J. Koch, Xi Zhu, Marijo Tamburrino, Staci A. Gruber, Christian Schmahl, Paul M. Thompson, Jessie L. Frijling, Robert Vermeiren, Israel Liberzon, Elizabeth A. Olson, Nicholas D. Davenport, Sophia I. Thomopoulos, Negar Fani, Jennifer S. Stevens, Kelene A. Fercho, Rajendra A. Morey, John Wall, Steven M. Nelson, Theo G.M. van Erp, Thomas Straube, Ye Zhu, Adi Maron-Katz, Miranda Olff, Jeffrey S. Simons, Gina L. Forster, Gopalkumar Rakesh, Dick J. Veltman, Gen Li, Sherry R. Wintemitz, Christine L. Larson, Vincent A. Magnotta, Kerry J. Ressler, Mayuresh S. Korgaonkar, Sheri Koopowitz, Michael D. De Bellis, Lauren K. O’Connor, Andrew S. Cotton, David Hofmann, Lee A. Baugh, Jacklynn M. Fitzgerald, Judith K. Daniels, and Ifat Levy
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medicine.anatomical_structure ,Frontal lobe ,Sample size determination ,Structural covariance ,Cortex (anatomy) ,Traumatic stress ,Ventromedial prefrontal cortex ,medicine ,Left superior ,Psychology ,Centrality ,Neuroscience - Abstract
IntroductionCortical thickness (CT) and surface area (SA) are established biomarkers of brain pathology in posttraumatic stress disorder (PTSD). Structural covariance networks (SCN) constructed from CT and SA may represent developmental associations, or unique interactions between brain regions, possibly influenced by a common causal antecedent. The ENIGMA-PGC PTSD Working Group aggregated PTSD and control subjects’ data from 29 cohorts in five countries (n=3439).MethodsUsing Destrieux Atlas, we built SCNs and compared centrality measures between PTSD subjects and controls. Centrality is a graph theory measure derived using SCN.ResultsNotable nodes with higher CT-based centrality in PTSD compared to controls were left fusiform gyrus, left superior temporal gyrus, and right inferior temporal gyrus. We found sex-based centrality differences in bilateral frontal lobe regions, left anterior cingulate, left superior occipital cortex and right ventromedial prefrontal cortex (vmPFC). Comorbid PTSD and MDD showed higher CT-based centrality in the right anterior cingulate gyrus, right parahippocampal gyrus and lower SA-based centrality in left insular gyrus.ConclusionUnlike previous studies with smaller sample sizes (≤318), our study found differences in centrality measures using a sample size of 3439 subjects. This is the first cross-sectional study to examine SCN interactions with age, sex, and comorbid MDD. Although limited to group level inferences, centrality measures offer insights into a node’s relationship to the entire functional connectome unlike approaches like seed-based connectivity or independent component analysis. Nodes having higher centrality have greater structural or functional connections, lending them invaluable for translational treatments like neuromodulation.
- Published
- 2021
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