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Patients with posttraumatic stress disorder (PTSD) exhibit smaller regional brain volumes in commonly reported regions including the amygdala and hippocampus, regions associated with fear and memory processing. In the current study, we have conducted a voxel-based morphometry (VBM) meta-analysis using whole-brain statistical maps with neuroimaging data from the ENIGMA-PGC PTSD working group.
Methods
T1-weighted structural neuroimaging scans from 36 cohorts (PTSD n = 1309; controls n = 2198) were processed using a standardized VBM pipeline (ENIGMA-VBM tool). We meta-analyzed the resulting statistical maps for voxel-wise differences in gray matter (GM) and white matter (WM) volumes between PTSD patients and controls, performed subgroup analyses considering the trauma exposure of the controls, and examined associations between regional brain volumes and clinical variables including PTSD (CAPS-4/5, PCL-5) and depression severity (BDI-II, PHQ-9).
Results
PTSD patients exhibited smaller GM volumes across the frontal and temporal lobes, and cerebellum, with the most significant effect in the left cerebellum (Hedges’ g = 0.22, pcorrected = .001), and smaller cerebellar WM volume (peak Hedges’ g = 0.14, pcorrected = .008). We observed similar regional differences when comparing patients to trauma-exposed controls, suggesting these structural abnormalities may be specific to PTSD. Regression analyses revealed PTSD severity was negatively associated with GM volumes within the cerebellum (pcorrected = .003), while depression severity was negatively associated with GM volumes within the cerebellum and superior frontal gyrus in patients (pcorrected = .001).
Conclusions
PTSD patients exhibited widespread, regional differences in brain volumes where greater regional deficits appeared to reflect more severe symptoms. Our findings add to the growing literature implicating the cerebellum in PTSD psychopathology.
With wide-field phased array feed technology, the Australian Square Kilometre Array Pathfinder (ASKAP) is ideally suited to search for seemingly rare radio transient sources that are difficult to discover previous-generation narrow-field telescopes. The Commensal Real-time ASKAP Fast Transient (CRAFT) Survey Science Project has developed instrumentation to continuously search for fast radio transients (duration $\lesssim$ 1 s) with ASKAP, with a particular focus on finding and localising fast radio bursts (FRBs). Since 2018, the CRAFT survey has been searching for FRBs and other fast transients by incoherently adding the intensities received by individual ASKAP antennas, and then correcting for the impact of frequency dispersion on these short-duration signals in the resultant incoherent sum (ICS) in real time. This low-latency detection enables the triggering of voltage buffers, which facilitates the localisation of the transient source and the study of spectro-polarimetric properties at high time resolution. Here we report the sample of 43 FRBs discovered in this CRAFT/ICS survey to date. This includes 22 FRBs that had not previously been reported: 16 FRBs localised by ASKAP to $\lesssim 1$ arcsec and 6 FRBs localised to $\sim 10$ arcmin. Of the new arcsecond-localised FRBs, we have identified and characterised host galaxies (and measured redshifts) for 11. The median of all 30 measured host redshifts from the survey to date is $z=0.23$. We summarise results from the searches, in particular those contributing to our understanding of the burst progenitors and emission mechanisms, and on the use of bursts as probes of intervening media. We conclude by foreshadowing future FRB surveys with ASKAP using a coherent detection system that is currently being commissioned. This will increase the burst detection rate by a factor of approximately ten and also the distance to which ASKAP can localise FRBs.
Compared with other areas of mental health research that are focused on the active and early management of youth presenting in the early stages of major mental disorders, there has been a relative lack of focus on young people with emerging or established bipolar disorders. Recently, this has stimulated both international professional societies (e.g., International Society for Bipolar Disorders [ISBD] Early Intervention Task Force) and funding agencies from Canada, UK, Australia, and the USA – including the Daymark Foundation (Jain et al. 2023), Wellcome Trust (2022), National Health and Medical Research Council, and BD2 – to promote a focus on identifying the major challenges in this field and gathering support for novel research and clinical service programmes.
Functional impairment is a major concern among those presenting to youth mental health services and can have a profound impact on long-term outcomes. Early recognition and prevention for those at risk of functional impairment is essential to guide effective youth mental health care. Yet, identifying those at risk is challenging and impacts the appropriate allocation of indicated prevention and early intervention strategies.
Methods
We developed a prognostic model to predict a young person’s social and occupational functional impairment trajectory over 3 months. The sample included 718 young people (12–25 years) engaged in youth mental health care. A Bayesian random effects model was designed using demographic and clinical factors and model performance was evaluated on held-out test data via 5-fold cross-validation.
Results
Eight factors were identified as the optimal set for prediction: employment, education, or training status; self-harm; psychotic-like experiences; physical health comorbidity; childhood-onset syndrome; illness type; clinical stage; and circadian disturbances. The model had an acceptable area under the curve (AUC) of 0.70 (95% CI, 0.56–0.81) overall, indicating its utility for predicting functional impairment over 3 months. For those with good baseline functioning, it showed excellent performance (AUC = 0.80, 0.67–0.79) for identifying individuals at risk of deterioration.
Conclusions
We developed and validated a prognostic model for youth mental health services to predict functional impairment trajectories over a 3-month period. This model serves as a foundation for further tool development and demonstrates its potential to guide indicated prevention and early intervention for enhancing functional outcomes or preventing functional decline.
There is considerable interest in the role of neuroimmune processes in neuropsychiatric presentations among young people seeking mental health, neurological, paediatric and rheumatological services. The increasing availability of new immunotherapies, particularly monoclonal antibodies, introduces challenges in effectively and appropriately selecting candidates for immunotherapies. Neuroimmune-mediated neuropsychiatric syndromes (NIMNPS) typically include two broad types: i) ‘autoimmune encephalitis’, characterised by acute or subacute onset, neurological signs such as seizures, delirium or motor features and severe psychotic or major mood phenomena. Anti-N-methyl-D-aspartate receptor encephalitis was a pioneering clinical example, but various other autoantibodies have since been associated with this phenotype; and ii) atypical mood or psychotic syndromes with sub-acute or insidious onset, moderately severe atypical mood or psychotic symptoms, autonomic dysregulation, narcolepsy-like features, poor response to conventional treatments and adverse (notably motor) effects from psychotropic medications. Diagnosis of NIMNPS requires clinical or laboratory evidence of direct brain involvement, though autoantibodies are not always detectable. Given the broad and controversial diagnostic criteria for NIMNPS, we propose standardised clinical criteria for identifying ‘possible cases’, followed by laboratory, neuropsychological and brain imaging tests to confirm ‘probable’ cases suitable for immunotherapy. We emphasise rapid clinical and informed co-decision-making with young people and their families and loved ones. While immunotherapy holds promise for symptom alleviation, highly-personalised approaches and long-term management are essential. Future research should validate our proposed criteria, establish optimal, standardised yet personalised immunotherapy strategies that balance between clinical benefit and risks, and identify predictive markers of treatment response.
Efficient evidence generation to assess the clinical and economic impact of medical therapies is critical amid rising healthcare costs and aging populations. However, drug development and clinical trials remain far too expensive and inefficient for all stakeholders. On October 25–26, 2023, the Duke Clinical Research Institute brought together leaders from academia, industry, government agencies, patient advocacy, and nonprofit organizations to explore how different entities and influencers in drug development and healthcare can realign incentive structures to efficiently accelerate evidence generation that addresses the highest public health needs. Prominent themes surfaced, including competing research priorities and incentives, inadequate representation of patient population in clinical trials, opportunities to better leverage existing technology and infrastructure in trial design, and a need for heightened transparency and accountability in research practices. The group determined that together these elements contribute to an inefficient and costly clinical research enterprise, amplifying disparities in population health and sustaining gaps in evidence that impede advancements in equitable healthcare delivery and outcomes. The goal of addressing the identified challenges is to ultimately make clinical trials faster, more inclusive, and more efficient across diverse communities and settings.
Metabolic and inflammatory dysfunction is prevalent in middle-aged people with major mood disorders, but less is known about young people. We investigated the trajectories of sensitive metabolic (Homeostatic Model Assessment for Insulin Resistance [HOMA2-IR]) and inflammatory markers (C-reactive protein [CRP]) in 155 young people (26.9 ± 5.6 years) accessing mental health services. We examined demographic and clinical correlates, longitudinal trajectories and relationships with specific illness subtypes. Additionally, we compared the HOMA2-IR with fasting blood glucose (FBG) for sensitivity. We observed a significant increase in HOMA2-IR and CRP over time with higher baseline levels predicting greater increases, although the rate of increase diminished in those with higher baseline levels. Body mass index predicted increases in HOMA2-IR (p < 0.001), but not CRP (p = 0.135). Multinomial logistic regression revealed that higher HOMA2-IR levels were associated with 2.3-fold increased odds of the “circadian-bipolar spectrum” subtype (p = 0.033), while higher CRP levels were associated with a reduced risk of the “neurodevelopmental psychosis” subtype (p = 0.033). Standard FBG measures were insensitive in detecting early metabolic dysregulation in young people with depression. The study supports the use of more sensitive markers of metabolic dysfunction to address the longitudinal relationships between immune-metabolic dysregulation and mood disorders in young people.
Children born to mothers infected with human immunodeficiency virus (HIV) during pregnancy experience increased risk of neurocognitive impairment. In Botswana, HIV infection is common, but standardized cognitive testing is limited. The Penn Computerized Neurocognitive Battery (PennCNB) is a widely used cognitive test battery that streamlines evaluation of neurocognitive functioning. Our group translated and culturally adapted the PennCNB for use among children and adolescents in this high-burden, low-resource setting. The current study examined the construct validity and sensitivity to HIV infection and exposure of the culturally adapted PennCNB among a cohort of HIV-affected children and adolescents in Gaborone, Botswana.
Participants and Methods:
628 school-aged children aged 7-17 years (n=223 children living with HIV [HIV+]; n=204 HIV exposed, uninfected [HEU]; and 201 HIV unexposed, uninfected [HUU]) completed the PennCNB. Participants were recruited from a clinic specializing in the care and treatment of HIV+ children and adolescents in Gaborone, Botswana, as well as from local schools. Confirmatory factor analyses were performed on efficiency measures for 13 PennCNB tests. Multiple regressions examined associations between HIV and neurocognitive functioning while controlling for age and sex. Multivariate normative comparisons were used to examine rates of overall cognitive impairment by comparing individual profiles of test scores to the multivariate distribution of test scores using age-normed data from the HUU group.
Results:
Confirmatory factor analysis supported four hypothesized neurocognitive domains: executive functioning, episodic memory, complex cognition, and sensorimotor/processing speed. As expected, there were main effects of age on cognitive performance across all domains (ps < .001), and there were small sex differences, with females performing better in executive functioning and males performing better on visuospatial processing. Children and adolescents living with HIV performed significantly worse than HUU across all domains (ps < .001), with the largest effect sizes on measures of abstraction, working memory, and processing speed. HEU also performed worse than HUU across several domains, with smaller effect sizes. Multivariate normative comparisons indicated that 27% of the HIV+ group evidenced global neurocognitive impairment.
Conclusions:
Overall, results support the validity of a neurocognitive battery adapted for use in Botswana, a non-Western, resource-limited setting. Results indicated that the adapted battery applied to children and adolescents with limited computer familiarity had a similar factor structure as in Western settings, indicating that the PennCNB appeared to assess the hypothesized neurocognitive domains. Hypothesized associations with age and sex supported the battery’s construct validity. Moreover, the battery appears to be sensitive to cognitive impairments associated with perinatally-acquired HIV and in utero HIV-related exposures, as it discriminated between the HUU, HIV+, and HEU groups. Differences were found in specific domains and in detection of overall impairment, including approximately one quarter of children and adolescents living with HIV in this cohort evidencing global neurocognitive impairment. Together, these results provide evidence that the PennCNB could serve as a useful tool for the assessment of neurocognitive functioning in school-aged children and adolescents from Botswana and, potentially, other resource-limited settings.
In both population-based and clinical cohorts, cross-sectional and longitudinal studies have reported associations between a range of non-specific markers of immune activation (e.g., pro-inflammatory cytokines) or chronic inflammation (e.g., C-reactive protein [CRP]) and depressive and other mood disorders (Dowlati et al. 2010; Hickie et al. 2018; Khandaker et al. 2017; Orsolini et al. 2022; Valkanova et al. 2013). The clinico-pathological significance, and directional relationships, of these associations tended to be downplayed as the systemic levels of these inflammatory markers were not in the ranges typical of active infective, inflammatory or significant autoimmune diseases.
Translational research (TR) is the movement of fundamental scientific discoveries into healthcare settings and population health policy, and parallels the goals of DOHaD research. Unfortunately, there is little guidance on how to become a translational researcher. To understand the opinions of DOHaD trainees towards TR, we conducted a workshop at the DOHaD World Congress 2022. We found that trainees were enthusiastic for their work to have translational impact, and that they feel that holistic, multidisciplinary solutions may lead to more generalisable research. However, there lacks support for TR career pathways, which may stall the execution of the long-term vision of the DOHaD agenda. We put forward recommendations for trainees to clarify their purpose in pursuing TR and for seeking relevant people and patronages to support their training paths. For mentors, training institutions, and scientific societies, we recommend developing TR-specific programmes, and implementing training opportunities, networking events, and funding to support these endeavours.
Much attention in recent years has focused on the extent to which the risk of metabolic disturbances, and most fundamentally of glucose and insulin, are prevalent among those treated for depressive and other mood disorders (Osimo et al., 2021; Scott et al., 2019; Tickell et al., 2022). Public concern has also focused on the increased rates of premature mortality in those with chronic depression and other major mental disorders, with a significant proportion of that risk being due to early-onset cardiovascular disease (particularly among women). A common assumption is that much of this risk is a consequence of medical treatments for depression, and their possible adverse effects such as increased risk of diabetes, presumably mediated by long-term weight gain.
One of the greatest global threats to mental health and wellbeing is the already discernible impact of climate change on local communities, particularly those living in the most vulnerable places on the planet, as well as the predicted impacts globally over the next 25–50 years (Romanello et al., 2021). Impacts have already been reported in those communities which have been devastated, often repeatedly, by extreme weather events (floods, cyclones, drought, bushfires, etc.) (Obradovich et al., 2018). These include massive social dislocation, loss of social connections and breakdowns in education, employment, economic and housing security – all factors known to increase the risk of common mental health conditions including anxiety, depression and other mood disorders.
The most basic distinction between depressive (and other mood) disorders and other major mental disorders is the notion that they are primarily mood or affective disorders and not fundamentally perturbations of other cognitive, perceptual, motor, communication, impulse, sleep−wake, fear-response, arousal, developmental or personality functions. The primacy of mood or affective state is captured in the ‘core’ criteria for major depression (depressed mood or loss of pleasure) and the other major mood disorders (e.g., for dysthymia – prolonged depressed mood) (American Psychiatric Association, 2013). For bipolar disorder, while the presence of manic features (with increased motor activity) (Scott et al., 2017) is the core element, the depressive phase is described in similar terms, with the emphasis on the same shared features of major depression (i.e., depressed mood or loss of pleasure).
Anaemia is characterised by low hemoglobin (Hb) concentration. Despite being a public health concern in Ethiopia, the role of micronutrients and non-nutritional factors as a determinant of Hb concentrations has been inadequately explored. This study focused on the assessment of serum micronutrient and Hb concentrations and a range of non-nutritional factors, to evaluate their associations with the risk of anaemia among the Ethiopian population (n 2046). It also explored the mediation effect of Zn on the relation between se and Hb. Bivariate and multivariate regression analyses were performed to identify the relationship between serum micronutrients concentration, inflammation biomarkers, nutritional status, presence of parasitic infection and socio-demographic factors with Hb concentration (n 2046). Sobel–Goodman test was applied to investigate the mediation of Zn on relations between serum se and Hb. In total, 18·6 % of participants were anaemic, 5·8 % had iron deficiency (ID), 2·6 % had ID anaemia and 0·6 % had tissue ID. Younger age, household head illiteracy and low serum concentrations of ferritin, Co, Cu and folate were associated with anaemia. Serum se had an indirect effect that was mediated by Zn, with a significant effect of se on Zn (P < 0·001) and Zn on Hb (P < 0·001). The findings of this study suggest the need for designing a multi-sectorial intervention to address anaemia based on demographic group.
Several hypotheses may explain the association between substance use, posttraumatic stress disorder (PTSD), and depression. However, few studies have utilized a large multisite dataset to understand this complex relationship. Our study assessed the relationship between alcohol and cannabis use trajectories and PTSD and depression symptoms across 3 months in recently trauma-exposed civilians.
Methods
In total, 1618 (1037 female) participants provided self-report data on past 30-day alcohol and cannabis use and PTSD and depression symptoms during their emergency department (baseline) visit. We reassessed participant's substance use and clinical symptoms 2, 8, and 12 weeks posttrauma. Latent class mixture modeling determined alcohol and cannabis use trajectories in the sample. Changes in PTSD and depression symptoms were assessed across alcohol and cannabis use trajectories via a mixed-model repeated-measures analysis of variance.
Results
Three trajectory classes (low, high, increasing use) provided the best model fit for alcohol and cannabis use. The low alcohol use class exhibited lower PTSD symptoms at baseline than the high use class; the low cannabis use class exhibited lower PTSD and depression symptoms at baseline than the high and increasing use classes; these symptoms greatly increased at week 8 and declined at week 12. Participants who already use alcohol and cannabis exhibited greater PTSD and depression symptoms at baseline that increased at week 8 with a decrease in symptoms at week 12.
Conclusions
Our findings suggest that alcohol and cannabis use trajectories are associated with the intensity of posttrauma psychopathology. These findings could potentially inform the timing of therapeutic strategies.
CHD care is resource-intensive. Unwarranted variation in care may increase cost and result in poorer health outcomes. We hypothesise that process variation exists within the pre-operative evaluation and planning process for children undergoing repair of atrial septal defect or ventricular septal defect and that substantial variation occurs in a small number of care points.
Methods:
From interviews with staff of an integrated congenital heart centre, an initial process map was constructed. A retrospective chart review of patients with isolated surgical atrial septal defect and ventricular septal defect repair from 7/1/2018 through 11/1/2020 informed revisions of the process map. The map was assessed for points of consistency and variability.
Results:
Thirty-two surgical atrial septal defect/ventricular septal defect repair patients were identified. Ten (31%) were reviewed by interventional cardiology before surgical review. Of these, 6(60%) had a failed catheter-based closure and 4 (40%) were deemed inappropriate for catheter-based closure. Thirty (94%) were reviewed in case conference, all attended surgical clinic, and none were admitted prior to surgery. The process map from interviews alone identified surgery rescheduling as a point of major variability; however, chart review revealed this was not as prominent a source of variability as pre-operative interventional cardiology review.
Conclusions:
Significant variation in the pre-operative evaluation and planning process for surgical atrial septal defect/ventricular septal defect patients was identified. If such process variation is widespread through CHD care, it may contribute to variations in outcome and cost previously documented within CHD surgery. Future research will focus on determining whether the variation is warranted or unwarranted, associated health outcomes and cost variation attributed to these variations in care processes.
Understanding premature mortality risk from suicide and other causes in youth mental health cohorts is essential for delivering effective clinical interventions and secondary prevention strategies.
Aims
To establish premature mortality risk in young people accessing early intervention mental health services and identify predictors of mortality.
Method
State-wide data registers of emergency departments, hospital admissions and mortality were linked to the Brain and Mind Research Register, a longitudinal cohort of 7081 young people accessing early intervention care, between 2008 and 2020. Outcomes were mortality rates and age-standardised mortality ratios (SMR). Cox regression was used to identify predictors of all-cause mortality and deaths due to suicide or accident.
Results
There were 60 deaths (male 63.3%) during the study period, 25 (42%) due to suicide, 19 (32%) from accident or injury and eight (13.3%) where cause was under investigation. All-cause SMR was 2.0 (95% CI 1.6–2.6) but higher for males (5.3, 95% CI 3.8–7.0). The mortality rate from suicide and accidental deaths was 101.56 per 100 000 person-years. Poisoning, whether intentional or accidental, was the single greatest primary cause of death (26.7%). Prior emergency department presentation for poisoning (hazard ratio (HR) 4.40, 95% CI 2.13–9.09) and psychiatric admission (HR 4.01, 95% CI 1.81–8.88) were the strongest predictors of mortality.
Conclusion
Premature mortality in young people accessing early intervention mental health services is greatly increased relative to population. Prior health service use and method of self-harm are useful predictors of future mortality. Enhanced care pathways following emergency department presentations should not be limited to those reporting suicidal ideation or intent.
We conducted a scientific survey of paediatric practitioners who manage heart failure with dilated cardiomyopathy in children. The survey covered management from diagnosis to treatment to monitoring, totalling 63 questions. There were 54 respondents from 40 institutions and 3 countries. There were diverse selections of management options by the respondents in general, but also unanimity in some management options. Variation in practice is likely due to the relative paucity of scientific data in this field and lack of strong evidence-based recommendations from guidelines, which presents an opportunity for future research and quality improvement efforts as the evidence base continues to grow.
Major depressive disorder (MDD) is a highly prevalent psychiatric condition, yet many patients do not receive adequate treatment. Novel and highly scalable interventions such as internet-based cognitive-behavioral-therapy (iCBT) may help to address this treatment gap. Anhedonia, a hallmark symptom of MDD that refers to diminished interest and ability to experience pleasure, has been associated with reduced reactivity in a neural reward circuit that includes medial prefrontal and striatal brain regions. Whether iCBT can reduce anhedonia severity in MDD patients, and whether these therapeutic effects are accompanied by enhanced reward circuit reactivity has yet to be examined.
Methods
Fifty-two MDD patients were randomly assigned to either 10-week iCBT (n = 26) or monitored attention control (MAC, n = 26) programs. All patients completed pre- and post-treatment assessments of anhedonia (Snaith–Hamilton Pleasure Scale; SHAPS) and reward circuit reactivity [monetary incentive delay (MID) task during functional magnetic resonance imaging (fMRI)]. Healthy control participants (n = 42) also underwent two fMRI scans while completing the MID task 10 weeks apart.
Results
Both iCBT and MAC groups exhibited a reduction in anhedonia severity post-treatment. Nevertheless, only the iCBT group exhibited enhanced nucleus accumbens (Nacc) and subgenual anterior cingulate cortex (sgACC) activation and functional connectivity from pre- to post-treatment in response to reward feedback. Enhanced Nacc and sgACC activations were associated with reduced anhedonia severity following iCBT treatment, with enhanced Nacc activation also mediating the reduction in anhedonia severity post-treatment.
Conclusions
These findings suggest that increased reward circuit reactivity may contribute to a reduction in anhedonia severity following iCBT treatment for depression.