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Progress in Neuro-Psychopharmacology and Biological Psychiatry
Article . 2025 . Peer-reviewed
License: CC BY NC ND
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Article . 2025
License: CC BY NC ND
Progress in Neuro-Psychopharmacology and Biological Psychiatry
Article . 2025
License: CC BY NC ND
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Exploring the impact of biological sex on intrinsic connectivity networks in PTSD: A data-driven approach

A data-driven approach
Authors: Nicholson, Andrew A; Lieberman, Jonathan M; Hosseini-Kamkar, Niki; Eckstrand, Kristen; Rabellino, Daniela; Kearney, Breanne; Steyrl, David; +5 Authors

Exploring the impact of biological sex on intrinsic connectivity networks in PTSD: A data-driven approach

Abstract

Sex as a biological variable (SABV) may help to account for the differential development and expression of post-traumatic stress disorder (PTSD) symptoms among trauma-exposed males and females. Here, we investigate the impact of SABV on PTSD-related neural alterations in resting-state functional connectivity (rsFC) within three core intrinsic connectivity networks (ICNs): the salience network (SN), central executive network (CEN), and default mode network (DMN).Using an independent component analysis (ICA), we compared rsFC of the SN, CEN, and DMN between males and females, with and without PTSD (n = 47 females with PTSD, n = 34 males with PTSD, n = 36 healthy control females, n = 20 healthy control males) via full factorial ANCOVAs. Additionally, linear regression analyses were conducted with clinical variables (i.e., PTSD and depression symptoms, childhood trauma scores) in order to determine intrinsic network connectivity characteristics specific to SABV. Furthermore, we utilized machine learning classification models to predict the biological sex and PTSD diagnosis of individual participants based on intrinsic network activity patterns.Our findings revealed differential network connectivity patterns based on SABV and PTSD diagnosis. Males with PTSD exhibited increased intra-SN (i.e., SN-anterior insula) rsFC and increased DMN-right superior parietal lobule/precuneus/superior occipital gyrus rsFC as compared to females with PTSD. There were also differential network connectivity patterns for comparisons between the PTSD and healthy control groups for males and females, separately. We did not observe significant correlations between clinical measures of interest and brain region clusters which displayed significant between group differences as a function of biological sex, thus further reinforcing that SABV analyses are likely not confounded by these variables. Furthermore, machine learning classification models accurately predicted biological sex and PTSD diagnosis among novel/unseen participants based on ICN activation patterns.This study reveals groundbreaking insights surrounding the impact of SABV on PTSD-related ICN alterations using data-driven methods. Our discoveries contribute to further defining neurobiological markers of PTSD among females and males and may offer guidance for differential sex-related treatment needs.

Keywords

Male, Adult, 301401 Brain research, Machine Learning, Stress Disorders, Post-Traumatic, Young Adult, Neural Pathways, Machine learning, Salience network, Humans, Stress Disorders, Sex Characteristics, Brain Mapping, Brain, PTSD, Middle Aged, Magnetic Resonance Imaging, central executive network, 302038 Clinical neuropsychology, Post-Traumatic, Medical Biophysics, Default mode network, Female, 301401 Hirnforschung, Nerve Net, Biological sex, 302038 Klinische Neuropsychologie

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
hybrid