Resolution limit-free community detection reveals unique patterns of resting-state network connectivity in posttraumatic stress disorder: A PGC-ENIGMA PTSD Consortium investigation
Marisa C. Ross,
Josh M Cisler,
Saskia BJ Koch,
Dick Veltman J. Veltman,
Jessie L. L. Frijling,
Mirjam van Zuiden,
Mike D. De Bellis,
Emily Clarke Rubright,
Jennifer S Stevens,
Sanne van Rooij,
Judith K Daniels,
Ivan Rektor Rektor,
Richard J. Davidson,
Lauren A.M Lebois,
Milissa L Kaufman,
Justin T Baker,
Ryan J. Herringa,
Jack B Nitschke,
Wissam El Hage,
Ilya M. Veer,
Rajendra A. Morey
Posted 26 Jun 2021
medRxiv DOI: 10.1101/2021.06.24.21259102
Posted 26 Jun 2021
Posttraumatic stress disorder (PTSD) is a complex psychiatric condition that has generated much attention in the neuroimaging literature. A neurocircuitry model supporting fronto-limbic dysfunction as a major player in facilitating clinical symptoms of PTSD is well-characterized; however, recent literature suggests that network-based approaches may provide additional insight into neural dysfunction in PTSD. Our analysis uses resting-state neuroimaging scans of 1063 adults from the PGC-ENIGMA PTSD Consortium to investigate a network-based model of functional connectivity in PTSD. With a novel, resolution limit-free community detection approach, 16 communities corresponding to functionally meaningful networks were detected with high quality. After group-level community detection, participants were classified into three groups (PTSD, n=418, trauma-exposed controls without PTSD, n=434, and non-trauma exposed healthy controls, n=211). Individual network connectivity metrics were calculated, including whole-brain, default mode network, and central executive network participation coefficient and connectivity strength. Linear mixed effects models revealed group differences in the whole-brain, default mode, and central executive network participation coefficient and connectivity strength such that individuals with PTSD demonstrated overall greater values. We also described sex differences such that males demonstrate greater whole-brain participation coefficient vs. females and females demonstrate greater default mode network connectivity strength vs. males. Our results suggest that PTSD in adults is associated with reduced specialization and enhanced inter-module communication throughout the brain network, which may contribute to inefficient information processing and poor emotional regulation. This study presents a novel use of resolution limit-free community detection in a large PTSD sample, revealing robust differences in resting-state network topology.
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