AUTHOR=Allen Corey H. , Maurer J. Michael , Edwards Bethany G. , Gullapalli Aparna R. , Harenski Carla L. , Harenski Keith A. , Calhoun Vince D. , Kiehl Kent A. TITLE=Aberrant resting-state functional connectivity in incarcerated women with elevated psychopathic traits JOURNAL=Frontiers in Neuroimaging VOLUME=Volume 1 - 2022 YEAR=2022 URL=https://www.frontiersin.org/journals/neuroimaging/articles/10.3389/fnimg.2022.971201 DOI=10.3389/fnimg.2022.971201 ISSN=2813-1193 ABSTRACT=Previous work in incarcerated men suggests that individuals scoring high on psychopathy exhibit aberrant resting-state paralimbic functional network connectivity (FNC). However, it is unclear whether similar results extend to women scoring high on psychopathy. This study examined whether psychopathic traits (assessed via the Hare Psychopathy Checklist – Revised [PCL-R]) were associated with aberrant inter-network connectivity, intra-network connectivity (i.e., functional coherence within a network), and amplitude of fluctuations across limbic and surrounding paralimbic regions among incarcerated women (n = 297). Resting-state networks were identified by applying group Independent Component Analysis to resting-state fMRI scans. We tested the association of psychopathic traits (PCL-R Factor 1 measuring interpersonal/affective psychopathic traits and PCL-R Factor 2 assessing lifestyle/antisocial psychopathic traits) to the three FNC measures. PCL-R Factor 1 scores were associated with increased low-frequency fluctuations in executive control and attentional networks, decreased high-frequency fluctuations in executive control and visual networks, and decreased intra-network FNC in default mode network. PCL-R Factor 2 scores were associated with decreased high-frequency fluctuations and default mode networks, and both increased and decreased intra-network functional connectivity in visual networks. Similar to previous analyses in incarcerated men, our results suggest that psychopathic traits among incarcerated women are associated with aberrant intra-network amplitude fluctuations and connectivity across multiple networks including limbic and surrounding paralimbic regions.