cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28468876.v1
title: The role of long-term hair steroids as diagnostic and intervention-related biomarkers in a multimorbid inpatient sample with posttraumatic stress disorder

description: <b>Background:</b> Steroid hormone dysregulations have frequently been implicated in posttraumatic stress disorder (PTSD) pathogenesis. However, the translation into naturalistic clinical settings as markers of symptomatology and treatment success remains complex. Particularly, there is little longitudinal data on steroid secretion over the course of interventions. <b>Objective:</b> This study examined the potential of long-term steroid hormone secretion assessed in hair as diagnostic and intervention-related biomarkers among medicated, multimorbid inpatients with PTSD. <b>Method:</b> As part of a secondary analysis of a randomised controlled trial, 54 female inpatients with a primary diagnosis of PTSD received standardised treatment and provided hair samples at pre-treatment, post-treatment, and 3-month follow-up. Cortisol, cortisone, and dehydroepiandrosterone (DHEA) were determined, alongside clinical assessments. <b>Results:</b> Cross-sectional results showed a negative association of pre-treatment DHEA with anxiety symptoms and a trend-level association with lifetime trauma exposure. While inpatients improved in PTSD symptomatology during treatment, neither pre-treatment steroids, nor treatment-induced steroid changes predicted PTSD symptoms at post-treatment or 3-month follow-up. <b>Conclusion:</b> The study highlights the challenges of establishing biomarkers in naturalistic clinical populations. While the association of attenuated DHEA with anxiety symptoms warrants further exploration, our data points towards the potential necessity of patient sub-sample selection to understand, and in the long run clinically target, the endocrine mechanisms in PTSD. Hair steroids (Cortisol, Cortisone, DHEA) were assessed in inpatients with PTSD.Lower pre-treatment DHEA levels were associated with greater anxiety symptoms.Hair steroids did not predict treatment response at hospital discharge or 3-month follow-up. Hair steroids (Cortisol, Cortisone, DHEA) were assessed in inpatients with PTSD. Lower pre-treatment DHEA levels were associated with greater anxiety symptoms. Hair steroids did not predict treatment response at hospital discharge or 3-month follow-up.
DOI: 10.6084/m9.figshare.29041151
title: Hippocampal connectivity changes after traumatic memory reactivation with propranolol for posttraumatic stress disorder: a randomized fMRI study

description: <b>Background:</b> Reactivation of traumatic memory under the influence of propranolol has shown encouraging clinical results in the treatment of posttraumatic stress disorder (PTSD), but the neural correlates remain unknown. To identify these correlates, we examined the changes in brain functional connectivity specifically associated with the influence of propranolol and their correlation with improvement in PTSD symptoms. <b>Objectives:</b> To identify resting-state functional connectivity (rs-FC) changes specifically associated with propranolol after a traumatic memory reactivation procedure (TMRP) in PTSD patients. <b>Method:</b> Thirty patients (50% of women) with PTSD were enrolled in a randomized controlled study comprised of six sessions of a traumatic memory reactivation procedure (TMRP) under the influence of propranolol (<i>n</i> = 16), compared to the same reactivation under a placebo (<i>n</i> = 14). Patients were scanned twice by functional magnetic resonance before and after treatment. Resting state functional connectivity (rs-FC) was compared across groups and over time. <b>Results:</b> Post versus pretreatment comparisons found an increase in rs-FC between the right hippocampus and the left parahippocampal gyrus in the propranolol group, but not in the placebo group. Symptom improvement in both groups were associated with an increase in rs-FC between the parahippocampal gyrus and both the supramarginal gyrus and the amygdala. <b>Conclusions:</b> During TMRP treatment, propranolol appears to constrain functional connectivity changes in the explicit memory brain system. These findings require further replication and exploration but could distinguish the effect of TMRP on the brain from other forms of PTSD psychotherapy. Traumatic memory reactivation with or without propranolol is an effective treatment of post-traumatic disorder.Traumatic memory reactivation under propranolol in patients with post-traumatic stress disorder leads to changes of their brain’s functional connectivity.Compared to placebo, traumatic memory reactivation with propranolol seems to increase inter-hippocampal functional connectivity. Traumatic memory reactivation with or without propranolol is an effective treatment of post-traumatic disorder. Traumatic memory reactivation under propranolol in patients with post-traumatic stress disorder leads to changes of their brain’s functional connectivity. Compared to placebo, traumatic memory reactivation with propranolol seems to increase inter-hippocampal functional connectivity.
DOI: 10.6084/m9.figshare.29041151.v1
title: Hippocampal connectivity changes after traumatic memory reactivation with propranolol for posttraumatic stress disorder: a randomized fMRI study

description: <b>Background:</b> Reactivation of traumatic memory under the influence of propranolol has shown encouraging clinical results in the treatment of posttraumatic stress disorder (PTSD), but the neural correlates remain unknown. To identify these correlates, we examined the changes in brain functional connectivity specifically associated with the influence of propranolol and their correlation with improvement in PTSD symptoms. <b>Objectives:</b> To identify resting-state functional connectivity (rs-FC) changes specifically associated with propranolol after a traumatic memory reactivation procedure (TMRP) in PTSD patients. <b>Method:</b> Thirty patients (50% of women) with PTSD were enrolled in a randomized controlled study comprised of six sessions of a traumatic memory reactivation procedure (TMRP) under the influence of propranolol (<i>n</i> = 16), compared to the same reactivation under a placebo (<i>n</i> = 14). Patients were scanned twice by functional magnetic resonance before and after treatment. Resting state functional connectivity (rs-FC) was compared across groups and over time. <b>Results:</b> Post versus pretreatment comparisons found an increase in rs-FC between the right hippocampus and the left parahippocampal gyrus in the propranolol group, but not in the placebo group. Symptom improvement in both groups were associated with an increase in rs-FC between the parahippocampal gyrus and both the supramarginal gyrus and the amygdala. <b>Conclusions:</b> During TMRP treatment, propranolol appears to constrain functional connectivity changes in the explicit memory brain system. These findings require further replication and exploration but could distinguish the effect of TMRP on the brain from other forms of PTSD psychotherapy. Traumatic memory reactivation with or without propranolol is an effective treatment of post-traumatic disorder.Traumatic memory reactivation under propranolol in patients with post-traumatic stress disorder leads to changes of their brain’s functional connectivity.Compared to placebo, traumatic memory reactivation with propranolol seems to increase inter-hippocampal functional connectivity. Traumatic memory reactivation with or without propranolol is an effective treatment of post-traumatic disorder. Traumatic memory reactivation under propranolol in patients with post-traumatic stress disorder leads to changes of their brain’s functional connectivity. Compared to placebo, traumatic memory reactivation with propranolol seems to increase inter-hippocampal functional connectivity.
DOI: 10.6084/m9.figshare.30861440
title: Integrating multi-omics to reveal the causal effect of gut microbiota on post-traumatic stress disorder and potential drug target analysis

description: <b>Background:</b> Observational evidence indicates genetic factors influence both gut microbiota composition and post-traumatic stress disorder (PTSD) susceptibility. But robust common variants have not been identified. This study aimed to investigate the common genetic variant loci and potential drug targets between the gut microbiota and PTSD. <b>Methods:</b> Based on public databases, we conducted a genome-wide association analysis (GWAS) of 207 microbial taxa and 205 pathways. Causal relationships were established through bidirectional Mendelian randomization (MR) and Bayesian weighted mendelian randomization (BWMR), with sensitivity analyses confirming robustness. Genetic risk loci were identified by single-nucleotide polymorphism (SNP) functional annotation, polygenic priority score (PoPs) and differentially expressed genes (DEGs). Summary-data-based Mendelian randomization (SMR) revealed the hypothesized druggable targets. Subsequently, a hypothetical verification was conducted through network pharmacology and molecular docking. Finally, we performed immune infiltration analysis for hypothesized gene targets. <b>Results:</b> Based on the results of the hypothetical analysis, we found that four taxa and one pathway demonstrated robust associations across analytical methods, validated by sensitivity analyses. On the basis of GWAS results and whole-blood expression quantitative trait locus (eQTL) data, ACOX3 was identified as a hypothesized locus with a causal role in PTSD treatment via SMR analysis. Moreover, further cross-validated in brain eQTL data. Network pharmacology and molecular docking analyses were used to predict hypothesized drug target interactions, further supporting their therapeutic potential. Immune infiltration analysis revealed a synergistic relationship between ACOX3 and T-cell gamma delta. <b>Conclusion:</b> Multi-omics analyses may suggest ACOX3 as a hypothesized drug target for PTSD, and future drug development has provided initial drug candidates and insights. Four taxa and one pathway showed robust associations with PTSD in different analysis methods.The multi-omics integrative analysis identified ACOX3 as a key risk locus for the treatment of PTSD.Network pharmacology and molecular docking revealed mechanism based drug-ACOX3 interactions. Four taxa and one pathway showed robust associations with PTSD in different analysis methods. The multi-omics integrative analysis identified ACOX3 as a key risk locus for the treatment of PTSD. Network pharmacology and molecular docking revealed mechanism based drug-ACOX3 interactions.
DOI: 10.6084/m9.figshare.30861440.v1
title: Integrating multi-omics to reveal the causal effect of gut microbiota on post-traumatic stress disorder and potential drug target analysis

description: <b>Background:</b> Observational evidence indicates genetic factors influence both gut microbiota composition and post-traumatic stress disorder (PTSD) susceptibility. But robust common variants have not been identified. This study aimed to investigate the common genetic variant loci and potential drug targets between the gut microbiota and PTSD. <b>Methods:</b> Based on public databases, we conducted a genome-wide association analysis (GWAS) of 207 microbial taxa and 205 pathways. Causal relationships were established through bidirectional Mendelian randomization (MR) and Bayesian weighted mendelian randomization (BWMR), with sensitivity analyses confirming robustness. Genetic risk loci were identified by single-nucleotide polymorphism (SNP) functional annotation, polygenic priority score (PoPs) and differentially expressed genes (DEGs). Summary-data-based Mendelian randomization (SMR) revealed the hypothesized druggable targets. Subsequently, a hypothetical verification was conducted through network pharmacology and molecular docking. Finally, we performed immune infiltration analysis for hypothesized gene targets. <b>Results:</b> Based on the results of the hypothetical analysis, we found that four taxa and one pathway demonstrated robust associations across analytical methods, validated by sensitivity analyses. On the basis of GWAS results and whole-blood expression quantitative trait locus (eQTL) data, ACOX3 was identified as a hypothesized locus with a causal role in PTSD treatment via SMR analysis. Moreover, further cross-validated in brain eQTL data. Network pharmacology and molecular docking analyses were used to predict hypothesized drug target interactions, further supporting their therapeutic potential. Immune infiltration analysis revealed a synergistic relationship between ACOX3 and T-cell gamma delta. <b>Conclusion:</b> Multi-omics analyses may suggest ACOX3 as a hypothesized drug target for PTSD, and future drug development has provided initial drug candidates and insights. Four taxa and one pathway showed robust associations with PTSD in different analysis methods.The multi-omics integrative analysis identified ACOX3 as a key risk locus for the treatment of PTSD.Network pharmacology and molecular docking revealed mechanism based drug-ACOX3 interactions. Four taxa and one pathway showed robust associations with PTSD in different analysis methods. The multi-omics integrative analysis identified ACOX3 as a key risk locus for the treatment of PTSD. Network pharmacology and molecular docking revealed mechanism based drug-ACOX3 interactions.
DOI: 10.6084/m9.figshare.28777708
title: Predicting high anger intensity using ecological momentary assessment and wearable-derived physiological data in a trauma-affected sample

description: <b>Background:</b> Digital technologies offer tremendous potential to predict dysregulated mood and behavior within an individual’s environment, and in doing so can support the development of new digital health interventions. However, no prediction models have been built in trauma-exposed populations that leverage real-world data. <b>Objective:</b> This project aimed to determine if wearable-derived physiological data can predict anger intensity in trauma-exposed adults. <b>Method:</b> Heart rate variability (i.e. a commercial wearable stress score) was combined with ecological momentary assessment (EMA) data collected over 10 days (<i>n</i> = 84). Five summary measures from stress scores collected 10 min prior to each EMA were selected using factor analysis of 24 candidates. <b>Results:</b> A high area under the receiver operating curve (AUC) was found for a logistic mixed effects model including these measures as predictors, ranging 0.761 (95% CI:0.569–0.921) to 0.899 (95% CI:0.784–0.980) across cross-validation methods. <b>Conclusions:</b> While the predictive performance may be overly optimistic due to the outcome prevalence (13.8%) and requires replication with larger datasets, our promising findings have significant methodological and clinical implications for researchers looking to build novel prediction and treatment approaches to respond to posttraumatic mental health. Using smartphone and wearable data derived from 98 adults with trauma exposure, this study was able to predict high anger intensity using heart rate variability-based data from the 10 min prior.High anger intensity episodes occurred 14%, and this prevalence rate may affect the performance of the prediction model.Real world prediction tools remain challenging due to data quality issues. Using smartphone and wearable data derived from 98 adults with trauma exposure, this study was able to predict high anger intensity using heart rate variability-based data from the 10 min prior. High anger intensity episodes occurred 14%, and this prevalence rate may affect the performance of the prediction model. Real world prediction tools remain challenging due to data quality issues.
DOI: 10.6084/m9.figshare.28777708.v1
title: Predicting high anger intensity using ecological momentary assessment and wearable-derived physiological data in a trauma-affected sample

description: <b>Background:</b> Digital technologies offer tremendous potential to predict dysregulated mood and behavior within an individual’s environment, and in doing so can support the development of new digital health interventions. However, no prediction models have been built in trauma-exposed populations that leverage real-world data. <b>Objective:</b> This project aimed to determine if wearable-derived physiological data can predict anger intensity in trauma-exposed adults. <b>Method:</b> Heart rate variability (i.e. a commercial wearable stress score) was combined with ecological momentary assessment (EMA) data collected over 10 days (<i>n</i> = 84). Five summary measures from stress scores collected 10 min prior to each EMA were selected using factor analysis of 24 candidates. <b>Results:</b> A high area under the receiver operating curve (AUC) was found for a logistic mixed effects model including these measures as predictors, ranging 0.761 (95% CI:0.569–0.921) to 0.899 (95% CI:0.784–0.980) across cross-validation methods. <b>Conclusions:</b> While the predictive performance may be overly optimistic due to the outcome prevalence (13.8%) and requires replication with larger datasets, our promising findings have significant methodological and clinical implications for researchers looking to build novel prediction and treatment approaches to respond to posttraumatic mental health. Using smartphone and wearable data derived from 98 adults with trauma exposure, this study was able to predict high anger intensity using heart rate variability-based data from the 10 min prior.High anger intensity episodes occurred 14%, and this prevalence rate may affect the performance of the prediction model.Real world prediction tools remain challenging due to data quality issues. Using smartphone and wearable data derived from 98 adults with trauma exposure, this study was able to predict high anger intensity using heart rate variability-based data from the 10 min prior. High anger intensity episodes occurred 14%, and this prevalence rate may affect the performance of the prediction model. Real world prediction tools remain challenging due to data quality issues.
DOI: 10.6084/m9.figshare.29980322
title: An exploratory study of emotional forecasting and experience disparities in PTSD: insights from a virtual reality paradigm

description: <b>Background:</b> Emotional disturbances are central to post-traumatic stress disorder (PTSD) and shape how individuals anticipate and experience events. <b>Objective:</b> This study investigates affective forecasting and emotional experience among PTSD patients, trauma-exposed controls (TEC), and healthy controls (HC) using a novel virtual reality paradigm. <b>Method:</b> Eighty-six participants (30 PTSD, 28 TEC, 28 HC) rated their predicted and actual emotional responses (valence and arousal) to unpleasant, neutral, and pleasant virtual scenarios. Physiological measures included heart rate and skin conductance responses (SCR). <b>Results:</b> PTSD participants showed alterations in their affective forecasting and emotional experience, assigning significantly lower valence scores to pleasant and neutral scenarios and exhibiting amplified SCR to emotionally charged stimuli. Their arousal ratings for neutral stimuli were also more elevated compared to HC. In their forecasting, PTSD participants anticipated more positive  – or less negative  – emotions compared to what they experienced next. <b>Conclusions:</b> These findings reveal critical emotional processing differences in PTSD, both during affective forecasting and emotional experience, supporting cognitive models that emphasize biased processing of emotional information in this psychiatric condition. Study used a VR-based paradigm to assess emotional forecasting and experience in PTSD.PTSD participants assigned lower valence to pleasant and neutral scenarios.They also anticipated more positive – or less negative – emotions than experienced.They showed amplified electrodermal responses to emotionally charged stimuli. Study used a VR-based paradigm to assess emotional forecasting and experience in PTSD. PTSD participants assigned lower valence to pleasant and neutral scenarios. They also anticipated more positive – or less negative – emotions than experienced. They showed amplified electrodermal responses to emotionally charged stimuli.
DOI: 10.6084/m9.figshare.29980322.v1
title: An exploratory study of emotional forecasting and experience disparities in PTSD: insights from a virtual reality paradigm

description: <b>Background:</b> Emotional disturbances are central to post-traumatic stress disorder (PTSD) and shape how individuals anticipate and experience events. <b>Objective:</b> This study investigates affective forecasting and emotional experience among PTSD patients, trauma-exposed controls (TEC), and healthy controls (HC) using a novel virtual reality paradigm. <b>Method:</b> Eighty-six participants (30 PTSD, 28 TEC, 28 HC) rated their predicted and actual emotional responses (valence and arousal) to unpleasant, neutral, and pleasant virtual scenarios. Physiological measures included heart rate and skin conductance responses (SCR). <b>Results:</b> PTSD participants showed alterations in their affective forecasting and emotional experience, assigning significantly lower valence scores to pleasant and neutral scenarios and exhibiting amplified SCR to emotionally charged stimuli. Their arousal ratings for neutral stimuli were also more elevated compared to HC. In their forecasting, PTSD participants anticipated more positive  – or less negative  – emotions compared to what they experienced next. <b>Conclusions:</b> These findings reveal critical emotional processing differences in PTSD, both during affective forecasting and emotional experience, supporting cognitive models that emphasize biased processing of emotional information in this psychiatric condition. Study used a VR-based paradigm to assess emotional forecasting and experience in PTSD.PTSD participants assigned lower valence to pleasant and neutral scenarios.They also anticipated more positive – or less negative – emotions than experienced.They showed amplified electrodermal responses to emotionally charged stimuli. Study used a VR-based paradigm to assess emotional forecasting and experience in PTSD. PTSD participants assigned lower valence to pleasant and neutral scenarios. They also anticipated more positive – or less negative – emotions than experienced. They showed amplified electrodermal responses to emotionally charged stimuli.