Hypothalamus volume mediates the association between adverse childhood experience and PTSD development after adulthood trauma

Predicting PTSD development with early post-trauma assessments: a proof-of-concept for a concise tree-based classification method

Background: Approximately 70% of individuals globally experience at least one traumatic event in their lifetimes, potentially leading to posttraumatic stress disorder (PTSD). Understanding the development of PTSD and devising effective prevention and treatment strategies are crucial. This proof-of-concept study aimed to design a concise tree-based adaptive test using the Classification and Regression Trees (CART) framework to predict PTSD development.Methods: Utilizing data from a longitudinal neuroimaging study, adult trauma survivors were enrolled from local hospital emergency departments within 48 h of experiencing trauma. Participants who completed psychological evaluations within 2 weeks post-trauma and a PTSD diagnosis assessment at 3 months were included in the analytic sample (n = 143). A total of 131 features including demographic, trauma-related, and behavioural and clinical symptoms were collected during this initial two-week post-trauma period. The performance of the CART model was benchmarked against two of the most powerful and widely used machine learning algorithms in the field, Random Forest (RF) and Gradient Boosting (GB) models.Results: The CART model, which incorporates just three critical questions from established assessments, predicted PTSD development with performance closely matched to that of the RF and GB models. The CART model achieved an accuracy of 0.641 and an AUC of 0.663, which showed only slightly worse performance compared to the RF and GB models. Its efficiency in utilizing a minimal set of questions for prediction highlights its potential for practical application in early PTSD detection and intervention strategies.Conclusion: The CART framework demonstrates a streamlined and efficient method for predicting PTSD onset in trauma survivors. While showing promise for practical application, further validation and refinement are necessary to enhance its predictive performance and establish its broader utility in early intervention strategies.

COVID-19 Pandemic Impacts on STRESS, PTSD, and Prefrontal Cortical Thickness in Pre-Pandemic Trauma Survivors

Background/Objectives: The COVID-19 pandemic increased psychiatric symptoms in patients with pre-pandemic mental health conditions. However, the effects of pandemic on the brain, stress, and mental illness remain largely conjectural. Our objective was to examine how the pandemic affected prefrontal cortical thicknesses (CTs), stress, and PTSD symptoms in people with pre-pandemic trauma histories. Methods: Fifty-one survivors from a pre-pandemic trauma study who had completed a pre-pandemic PTSD Checklist-5 (PCL) to assess PTSD symptoms and a sMRI scan to measure prefrontal CTs were re-recruited after the pandemic. They subsequently completed the COVID Stress Scale (CSS) to assess stress, the Clinician Administered PTSD Scale-5 (CAPS) to diagnose PTSD, and a second sMRI scan. COVID-19 infection was self-reported. Associations between stress and symptom assessments and post-pandemic CTs, differences in CTs in PTSD vs. non-PTSD groups, and changes in pre- to post-pandemic CTs were examined. Results: Pre-pandemic PCL scores were positively associated with CSS scores which, in turn, were higher in the PTSD group. Thicker IFG-opercularis CTs were associated with COVID-19 infection. Post-pandemic rMFG and IFG-orbitalis CTs were positively associated with CAPS scores. rACC CTs were negatively associated with CSS scores. Pre- to post-pandemic rMFG and frontal pole CTs thickened in the PTSD group but thinned in the non-PTSD group, whereas rACC CTs thinned in the PTSD group but thickened in the non-PTSD group. Conclusions: These findings provide novel evidence that the COVID-19 pandemic had diverse effects involving prefrontal cortex structure, stress, and PTSD symptoms in subjects with pre-pandemic trauma history and suggest that treatments are needed to counter these diverse effects.

Common and sex-specific differences in hypothalamic subunit volumes and their links with depressive symptoms in treatment-naïve patients with major depressive disorder

The hypothalamus, which consists of histologically and functionally distinct subunits, primarily modulates vegetative symptoms in major depressive disorder (MDD). Sex differences in MDD have been well-documented in terms of illness incidence rates and symptom profiles. However, few studies have explored subunit-level and sex-specific anatomic differences in the hypothalamus in MDD compared to healthy controls (HCs). High-resolution 3D T1-weighted images were obtained from 133 treatment-naïve patients with MDD and 130 age-, sex-, education years-, and handedness-matched HCs. MRI data were preprocessed and segmented into ten bilateral hypothalamic subunits with FreeSurfer software. We tested for both common and sex-specific patterns of hypothalamic anatomic differences in MDD. Regardless of sex, patients with MDD showed significantly smaller volumes in the left anterior-inferior subunit (a-iHyp) and larger volumes in the right posterior subunit (posHyp). The volumes of the left a-iHyp were negatively correlated with sleep disturbance scores in the MDD group. A significant sex-by-diagnosis interaction was observed in the right whole hypothalamus, and subsequent post-hoc analyses revealed that males with MDD showed significantly larger volumes, while females with MDD showed significantly smaller volumes relative to their sex-matched HCs. Common differences in MDD were found in the left anterior-inferior and right posterior hypothalamus that are involved in regulating circadian rhythms and reward, while sex-specific differences in MDD were observed in the right whole hypothalamus. These findings enhance our understanding of distinct hypothalamic subunit related to MDD and shed light on the neurobiology underlying sex-related variations in MDD.

Post-traumatic stress disorder: evolving conceptualization and evidence, and future research directions

The understanding of responses to traumatic events has been greatly influenced by the introduction of the diagnosis of post-traumatic stress disorder (PTSD). In this paper we review the initial versions of the diagnostic criteria for this condition and the associated epidemiological findings, including sociocultural differences. We consider evidence for post-traumatic reactions occurring in multiple contexts not previously defined as traumatic, and the implications that these observations have for the diagnosis. More recent developments such as the DSM-5 dissociative subtype and the ICD-11 diagnosis of complex PTSD are reviewed, adding to evidence that there are several distinct PTSD phenotypes. We describe the psychological foundations of PTSD, involving disturbances to memory as well as to identity. A broader focus on identity may be able to accommodate group and communal influences on the experience of trauma and PTSD, as well as the impact of resource loss. We then summarize current evidence concerning the biological foundations of PTSD, with a particular focus on genetic and neuroimaging studies. Whereas progress in prevention has been disappointing, there is now an extensive evidence supporting the efficacy of a variety of psychological treatments for established PTSD, including trauma-focused interventions - such as trauma-focused cognitive behavior therapy (TF-CBT) and eye movement desensitization and reprocessing (EMDR) - and non-trauma-focused therapies, which also include some emerging identity-based approaches such as present-centered and compassion-focused therapies. Additionally, there are promising interventions that are neither psychological nor pharmacological, or that combine a pharmacological and a psychological approach, such as 3,4-methylenedioxymethamphetamine (MDMA)-assisted psychotherapy. We review advances in the priority areas of adapting interventions in resource-limited settings and across cultural contexts, and of community-based approaches. We conclude by identifying future directions for work on trauma and mental health.

Adverse childhood experiences, brain function, and psychiatric diagnoses in a large adult clinical cohort

Introduction

Adverse childhood experiences (ACEs) are linked to higher rates of psychiatric disorders in adults. Previous neuroimaging studies with small samples have shown associations between ACEs and alterations in brain volume, connectivity, and blood flow. However, no study has explored these associations in a large clinical population to identify brain regions that may mediate the relationship between ACEs and psychiatric diagnoses. This study aims to evaluate how patient-reported ACEs are associated with brain function in adults, across diagnoses.

Methods

We analyzed 7,275 adults using HMPAO SPECT scans at rest and during a continuous performance task (CPT). We assessed the impact of ACEs on brain function across psychiatric diagnoses and performed mediation analyses where brain functional regions of interest acted as mediators between patient-reported ACEs and specific psychiatric diagnoses. We further evaluated the risk of being diagnosed with specific classes of mental illnesses as a function of increasing ACEs and identified which specific ACE questions were statistically related to each diagnosis in this cohort.

Results

Increased ACEs were associated with higher activity in cognitive control and default mode networks and decreased activity in the dorsal striatum and cerebellum. Higher ACEs increased the risk of anxiety-related disorders, substance abuse, and depression. Several brain regions were identified as potential mediators between ACEs and adult psychiatric diagnoses.

Discussion

This study, utilizing a large clinical cohort, provides new insights into the neurobiological mechanisms linking ACEs to adult psychiatric conditions. The findings suggest that specific brain regions mediate the effects of ACEs on the risk of developing mental health disorders, highlighting potential targets for therapeutic interventions.

Minimizing Survey Questions for PTSD Prediction Following Acute Trauma

Traumatic experiences have the potential to give rise to post-traumatic stress disorder (PTSD), a debilitating psychiatric condition associated with impairments in both social and occupational functioning. There has been great interest in utilizing machine learning approaches to predict the development of PTSD in trauma patients from clinician assessment or survey-based psychological assessments. However, these assessments require a large number of questions, which is time consuming and not easy to administer. In this paper, we aim to predict PTSD development of patients 3 months post-trauma from multiple survey-based assessments taken within 2 weeks post-trauma. Our objective is to minimize the number of survey questions that patients need to answer while maintaining the prediction accuracy from the full surveys. We formulate this as a feature selection problem and consider 4 different feature selection approaches. We demonstrate that it is possible to achieve up to 72% accuracy for predicting the 3-month PTSD diagnosis from 10 survey questions using a mean decrease in impurity-based feature selector followed by a gradient boosting classifier.

Hypothalamic Subunit Volumes in Schizophrenia and Bipolar Spectrum Disorders

BACKGROUND

The hypothalamus is central to many hormonal and autonomous nervous system pathways. Emerging evidence indicates that these pathways may be disrupted in schizophrenia and bipolar disorder. Yet, few studies have examined the volumes of hypothalamic subunits in these patient groups. We compared hypothalamic subunit volumes in individuals with psychotic disorders to healthy controls.

STUDY DESIGN

We included 344 patients with schizophrenia spectrum disorders (SCZ), 340 patients with bipolar disorders (BPD), and 684 age- and-sex-matched healthy controls (CTR). Total hypothalamus and five hypothalamic subunit volumes were extracted from T1-weighted magnetic resonance imaging (MRI) using an automated Bayesian segmentation method. Regression models, corrected for age, age2, sex, and segmentation-based intracranial volume (sbTIV), were used to examine diagnostic group differences, interactions with sex, and associations with clinical symptoms, antipsychotic medication, antidepressants and mood stabilizers.

STUDY RESULTS

SCZ had larger volumes in the left inferior tubular subunit and smaller right anterior-inferior, right anterior-superior, and right posterior hypothalamic subunits compared to CTR. BPD did not differ significantly from CTR for any hypothalamic subunit volume, however, there was a significant sex-by-diagnosis interaction. Analyses stratified by sex showed smaller right hypothalamus and right posterior subunit volumes in male patients, but not female patients, relative to same-sex controls. There was a significant association between BPD currently taking antipsychotic medication and the left inferior tubular subunits volumes.

CONCLUSIONS

Our results show regional-specific alterations in hypothalamus subunit volumes in individuals with SCZ, with relevance to HPA-axis dysregulation, circadian rhythm disruption, and cognition impairment.

Randomized controlled trial investigating web-based, therapist delivered eye movement desensitization and reprocessing for adults with suicidal ideation

Introduction

Promising preliminary evidence suggests that EMDR may reduce suicidal ideation (SI) when used to treat Major Depressive Disorder, Posttraumatic Stress Disorder, and trauma symptoms in the context of acute mental health crises. EMDR has never been tested specifically for treating SI, and there is a lack of data regarding the safety and effectiveness of web-based, therapist-delivered EMDR in populations with known SI. The primary objective of this study was to investigate the impact of web-based, therapist-delivered EMDR, targeting experiences associated with suicidal thinking. Secondary objectives included examining the effect of EMDR treatment on symptoms of depression, anxiety, posttraumatic stress, emotional dysregulation, and dissociation, as well as safety and attrition.

Methods

This randomized control trial (ClinicalTrials.gov ID number: NCT04181047) assigned adult outpatients reporting SI to either a web-based EMDR intervention or a treatment as usual (TAU) group. TAU included primary and mental health services available within the Canadian public health system. Participants in the EMDR group received up to 12 web-based EMDR desensitization sessions, delivered twice weekly during the COVID-19 pandemic (2021-2023). The Health Research Ethics Board at the University of Alberta approved the protocol prior to initiation of data collection for this study (protocol ID number: Pro00090989).

Results

Forty-two adult outpatients received either EMDR (n=20) or TAU (n=22). Participants reported a high prevalence of early onset and chronic SI, and there was a high rate of psychiatric comorbidity. In the EMDR group, median SI, depression, anxiety, and posttraumatic symptom scale scores decreased from baseline to the four month follow-up. In the TAU group, only the median SI and posttraumatic symptom scale scores decreased from baseline to four month follow up. Although sample size precludes direct comparison, there were numerically fewer adverse events and fewer dropouts in the EMDR group relative to the TAU group.

Conclusion

Study results provide promising preliminary evidence that web-based EMDR may be a viable delivery approach to address SI. In this complex population, a short treatment course was associated with reductions of SI and other symptoms across multiple diagnostic categories. Further investigation is warranted to verify and extend these results.

Clinical Trial Registration

https://clinicaltrials.gov/study/NCT04181047?id=NCT04181047&rank=1, identifier NCT04181047.

Neuroanatomical and functional correlates in post-traumatic stress disorder: A narrative review

Post-traumatic stress disorder (PTSD), currently included by the Diagnostic and Statistical of Mental Disorders, Fifth Edition, Text Revision in the macro-category "disorders related to traumatic and stressful events", is a severe mental distress that arises acutely as a result of direct or indirect exposure to severely stressful and traumatic events. A large body of literature is available on the psychological and behavioral manifestations of PTSD; however, with regard to the more purely neuropsychological aspects of the disorder, they are still the subject of research and need greater clarity, although the roles of the thalamus, hypothalamus, amygdala, cingulate gyrus, cerebellum, locus coeruleus, and hippocampus in the onset of the disorder's characteristic symptoms have already been elucidated.