A short-interval longitudinal study of associations between psychological distress and hippocampal grey matter in early adolescence.

This study of Australian adolescents (N = 88, 12-13-years-old) investigated the relationship between hippocampal grey matter volume (GMV) and self-reported psychological distress (K10) at four timepoints, across 12 months. Participants were divided into two groups; those who had K10 scores between 10 and 15 for all four timepoints were categorised as "low distress" (i.e., control group; n = 38), while participants who had K10 scores of 16 or higher at least once over the year were categorised as "moderate-high distress" (n = 50). Associations were tested by GEE fitting of GMV and K10 measures at the same time point, and in the preceding and subsequent timepoints. Analyses revealed smaller preceding left GMV and larger preceding right GMV were associated with higher subsequent K10 scores in the "moderate-high distress" group. This was not observed in the control group. In contrast, the control group showed significant co-occurring associations (i.e., at the same TP) between GMV and K10 scores. The "moderate-high distress" group experienced greater variability in distress. These results suggest that GMV development in early adolescence is differently associated with psychological distress for those who experience "moderate-high distress" at some point over the year, compared to controls. These findings offer a novel way to utilise short-interval, multiple time-point longitudinal data to explore changes in volume and experience of psychological distress in early adolescents. The results suggest hippocampal volume in early adolescence may be linked to fluctuations in psychological distress.

Examining the Longitudinal Relationship Between Metacognitive Beliefs and Psychological Distress in an Adolescent Population: A Preliminary Analysis.

Adolescence is a period marked by significant vulnerability to the onset of mental health concerns. Within adults, the metacognitive model of psychological disorders advocates for the involvement of metacognitive beliefs in the onset, and maintenance, of psychopathology. The current study aimed to assess the applicability of the metacognitive model in adolescence by exploring the relationship, as well as the trajectory, between metacognitive beliefs and psychological distress. The longitudinal prospective cohort study investigated data from a community-based sample of participants aged 12 to 13. Self-report assessment measures of metacognitive beliefs, psychological distress, and somatic distress are reported across four time-points. Baseline assessments are reported for 70 participants, which reduced to 53 participants at time-point four. Correlational analyses demonstrated a significant relationship between overall metacognition, as well as negative metacognitive beliefs, and psychological distress at each of the four time-points. Generalised Estimating Equations found a significant association between metacognitive predictors and psychological distress over the four time-points. These results indicate that negative metacognitive beliefs, positive metacognitive beliefs, metacognitive beliefs related to superstition, punishment, and responsibility, low perceived levels of cognitive confidence and cognitive self-consciousness predict psychological distress over 12 months in adolescents aged 12 to 13. The strongest longitudinal correlational structure was found for the model of negative metacognitive beliefs and psychological distress. These findings provide preliminary evidence for the positive linear relationship between metacognitive beliefs and psychological distress in adolescence. The study provides an important contribution to understanding the role of metacognitive beliefs in the aetiology and perpetuation of psychological distress in adolescence.

Monitoring cognitive function in the fatigued warfighter: A rapid review of cognitive biomarkers.

OBJECTIVES: Decreases in cognitive function impair occupational performance, reduce occupational safety, and increase musculoskeletal injury risk. The aim of this paper was to identify measures that may be used to monitor cognitive function in the warfighter. DESIGN: A rapid review. METHODS: A rapid search of Academic Search Complete, MEDLINE, PsycINFO, and SPORTSDiscus databases was conducted. ELIGIBILITY CRITERIA: original peer reviewed research articles, written in English, published between 2002 and 2022, and using human participants with no health issues in military training environments or active service. RESULTS: Of the 248 articles screened, 58 full-text articles were assessed for eligibility and 29 included in the review. Of these, 16 papers presented data from multi-stressor military training environments, or experimental studies where simulated military tasks were being performed. Thirteen papers focused on an aspect of military work and the implications for cognitive function (i.e., physical load, periods of extended wakefulness or fatigue, and hypoxic conditions). The domains of cognitive function that were assessed (i.e. vigilance, reaction time, working memory, situational awareness, and decision-making) were somewhat consistent among studies. CONCLUSIONS: Prolonged exposure to high-stress military environments compromises multiple aspects of cognitive function. These findings highlight the need for a suite of biomarkers to monitor cognitive function and assess the ability of military personnel to attend to and process mission-critical information and make appropriate decisions on the battlefield and other high-stress environments. Our findings suggest that a suite of common tests may provide useful information about cognitive function in the warfighter.

Structural connectivity and its association with social connectedness in early adolescence.

Adolescence is a critical period of social and neural development. Brain regions which process social information develop throughout adolescence as young people learn to navigate social environments. Studies investigating brain structural connectivity (indexed by white matter (WM) integrity), and social connectedness in adolescents have been limited until recently, with literature stemming mostly from adult samples, broad age ranges within adolescence or based on social network characteristics as opposed to social connectedness. This cross-sectional study of 12-year-olds (N = 73) explored the relationship between social connectedness (SCS) and structural connectivity in early adolescence, to gauge how this snapshot of WM development is associated with social behaviour. Whole brain voxel-wise diffusion tensor imaging was undertaken to determine correlations between SCS and fractional anisotropy (FA), radial (RD) and axial (AD) diffusivity of clusters within WM tracts. Significant negative relationships between FA and SCS scores were found in clusters within 11 WM tracts, with significant positive correlations between SCS and both RD and AD across clusters within 13 and 8 clusters, respectively. Clusters within the genu of the corpus callosum (CCgn) showed strong correlations for all three metrics, and regression models that included gender, age, and psychological distress, revealed SCS to be the only significant predictor of CCgn FA, RD and AD values. Overall, these findings suggest that those with lower social connectedness had a WM profile suggestive of reduced axonal density and/or coherence. Longitudinal research is needed to track such WM profiles during adolescent development and determine the associations with mental health and well-being outcomes.

Gender differences in brain activity when exposed to cyberbullying: Associations between wellbeing and cyberbullying experience using functional Magnetic Resonance Imaging.

The role of gender and the associated brain activation when witnessing cyberbullying requires investigation. The current study aimed to determine whether brain responses to cyberbullying differ according to gender and level of wellbeing. We hypothesised that females and males would activate different regions of the brain when witnessing cyberbullying, and that this would be influenced by wellbeing levels and prior cyberbullying experiences. Blood-oxygenation-level-dependent (BOLD) responses were examined in participants (N = 32, aged 18-25 years; 66% female) whilst observing cyberbullying versus neutral stimuli during a functional MRI. Results revealed significant correlations between BOLD signal and achievement scores among males, but not females, with previous experiences of cyberbullying, in regions including the cerebellum, the superior and inferior frontal gyrus, and the precuneus. Furthermore, males who previously cyberbullied others, with higher scores in achievement (a wellbeing sub-category), activated brain regions associated with executive function, social cognition, and self-evaluation, when viewing the cyberbullying stimuli. In addition, despite gender, BOLD signal in the cingulate gyrus was negatively correlated with cyberbullying scores, and BOLD signal in the left dorsal caudate and the cerebellum was independently and positively correlated with achievement scores. Taken together, these findings provide insights into brain responses to cyberbullying scenarios and emphasize that there are some significant variations according to gender. The overall finding that males activated brain regions linked to varying aspects of cognition, whereas females more often activated regions linked to emotion processing and empathy is important for future research in this area.

Dataset of brain functional connectome and its maturation in adolescents.

We provided the dataset of brain connectome matrices, their similarities measures to self and others longitudinally, and Kessler's psychological distress scales (K10) including the response to each question. The dataset can be used to replicate the results of the manuscript titled "A longitudinal study of functional connectome uniqueness and its association with psychological distress in adolescence". The functional connectome (whole-brain and 13 networks) matrices were calculated from the resting-state functional MRIs (rs-fMRIs). We collected rs-fMRI and Kessler's psychological distress scale (K10) in 77 adolescents longitudinally up to 9 times from 12 years of age every four months. After removal of data with excessive motion, 262 functional connectome matrices were provided with this paper. The 300 regions of interest (ROIs) were defined using the Greene lab brain atlas. The functional connectome matrices were calculated as correlations between time series from any pair of ROIs extracted from pre-processed fMRIs. This dataset could be potentially used to1.Understand developmental changes in the functional brain connectivity,2.As a normal control database of functional connectome matrices,3.Develop and validate connectome and network-related analysing methods.

EEG-based clusters differentiate psychological distress, sleep quality and cognitive function in adolescents.

INTRODUCTION: To better understand the relationships between neurophysiology, cognitive function and psychopathology risk in adolescence there is value in identifying data-driven subgroups based on measurements of brain activity and function, and then comparing cognition and mental health between such subgroups. METHODS: We developed a flexible and scaleable multi-stage analysis pipeline to identify data-driven clusters of 12-year-olds (M = 12.64, SD = 0.32) based on frequency characteristics calculated from resting state, eyes-closed electroencephalography (EEG) recordings. For this preliminary cross-sectional study, EEG data was collected from 59 individuals in the Longitudinal Adolescent Brain Study (LABS) being undertaken in Queensland, Australia. Applying multiple unsupervised clustering algorithms to these EEG features, we identified well-separated subgroups of individuals. To study patterns of difference in cognitive function and mental health symptoms between clusters, we applied Bayesian regression models to probabilistically identify differences in these measures between clusters. RESULTS: We identified 5 core clusters associated with distinct subtypes of resting state EEG frequency content. Bayesian models demonstrated substantial differences in psychological distress, sleep quality and cognitive function between clusters. By examining associations between neurophysiology and health measures across clusters, we have identified preliminary risk and protective profiles linked to EEG characteristics. CONCLUSION: This method provides the potential to identify neurophysiological subgroups of adolescents in the general population based on resting state EEG, and associated patterns of health and cognition that are not observed at the whole group level. This approach offers potential utility in clinical risk prediction for mental and cognitive health outcomes throughout adolescent development.

A longitudinal study of functional connectome uniqueness and its association with psychological distress in adolescence.

Each human brain has a unique functional synchronisation pattern (functional connectome) analogous to a fingerprint that underpins brain functions and related behaviours. Here we examine functional connectome (whole-brain and 13 networks) maturation by measuring its uniqueness in adolescents who underwent brain scans longitudinally from 12 years of age every four months. The uniqueness of a functional connectome is defined as its ratio of self-similarity (from the same subject at a different time point) to the maximal similarity-to-others (from a given subject and any others at a different time point). We found that the unique whole brain connectome exists in 12 years old adolescents, with 92% individuals having a whole brain uniqueness value greater than one. The cingulo-opercular network (CON; a long-acting 'brain control network' configuring information processing) demonstrated marginal uniqueness in early adolescence with 56% of individuals showing uniqueness greater than one (i.e., more similar to her/his own CON four months later than those from any other subjects) and this increased longitudinally. Notably, the low uniqueness of the CON correlates (ß = -18.6, FDR-Q < < 0.001) with K10 levels at the subsequent time point. This association suggests that the individualisation of CON network is related to psychological distress levels. Our findings highlight the potential of longitudinal neuroimaging to capture mental health problems in young people who are undergoing profound neuroplasticity and environment sensitivity period.

Social Connectedness, Cyberbullying, and Well-Being: Preliminary Findings from the Longitudinal Adolescent Brain Study.

Social connectedness is well established as an important aspect of adolescence, with higher levels typically resulting in positive mental health and well-being. Cyberbullying is a prevalent concern during adolescence and is a significant contributor to poor mental health outcomes during this important phase of life. Research shows that social connectedness may act as a protective factor for mental health and well-being when young people experience cyberbullying. However, further research is required to elucidate associations between social connectedness, well-being, and cyberbullying over time. This article outlines preliminary findings from the Longitudinal Adolescent Brain Study (LABS). Data are reported from N = 64 LABS participants recruited at age 12 and assessed at four timepoints over a 12-month period, with a total of 204 completed assessments. Structural equation modeling revealed a mediating effect of social connectedness on the relationship between cyberbullying and well-being. In other words, the negative influences of cyberbullying and cybervictimization on well-being scores over time are influenced by levels of social connectedness. The present findings highlight that increased social connectedness in young people is vital to promoting positive well-being over time and can protect well-being in those experiencing cyberbullying and/or cybervictimization. Findings can inform cyberbullying education programs, health care practitioners, parents, and educators on the importance of young people remaining socially connected when experiencing cyberbullying and/or cybervictimization.

Basal ganglia correlates of wellbeing in early adolescence.

It has been suggested that biological markers that define mental health are different to those that define mental illness. The basal ganglia changes dramatically over adolescence and has been linked to wellbeing and mental health disorders in young people. However, there remains a paucity of research on wellbeing and brain structure in early adolescence. This cross-sectional study examined relationships between grey matter volume (GMV) of basal ganglia regions (caudate, putamen, pallidum and nucleus accumbens) and self-reported wellbeing (COMPAS-W), in a sample of Australian adolescents aged 12 years (N = 49, M = 12.6, 46.9% female). Significant negative associations were found between left hemisphere caudate GMV and scores on 'total wellbeing', 'composure' and 'positivity'. The results of this study indicate that smaller caudate GMV at age 12 is linked to increased subjective wellbeing. While seemingly counter-intuitive, our finding is consistent with previous research of decreased GMV in the pons and increased COMPAS-W scores in adults. Our results suggest that protective neurobiological factors may be identifiable early in adolescence and be linked to specific types of wellbeing (such as positive affect and optimism). This has implications for interventions targeted at building resilience against mental health disorders in young people.

Can measures of sleep quality or white matter structural integrity predict level of worry or rumination in adolescents facing stressful situations? Lessons from the COVID-19 pandemic.

INTRODUCTION: COVID-19 has resulted in major life changes to the majority of the world population, particularly adolescents, with social-distancing measures such as home-based schooling likely to impact sleep quality. Increased worry is also likely considering the substantial financial, educational and health concerns accompanying COVID-19. White matter (WM) integrity has been shown to be associated with anxiety and depression symptoms, including worry, as well being closely associated with sleep quality. This study aimed to investigate the associations between pre-COVID sleep quality, WM structural integrity and levels of worry and rumination about COVID. METHODS: N = 30 adolescent participants from Queensland, Australia, completed diffusion tensor imaging (DTI) scanning pre-COVID, the Pittsburgh Sleep Quality Index (PSQI) pre and during COVID, and 9 items designed to measure 3 constructs, perceived impact of COVID, general worry, and COVID-specific worry and rumination. RESULTS: Sleep quality (PSQI total) was significantly poorer during COVID compared with pre-COVID. Sleep onset latency measured pre-COVID was significantly associated with COVID-specific worry and rumination. While the structural integrity of a number of WM tracts (measured pre-COVID) were found to be significantly associated with COVID-specific worry and rumination. Follow-up regression analysis using a model including pre-COVID sleep onset latency, structural integrity of the posterior limb of the internal capsule (PLIC), gender and change in PSQI explained a significant 47% of the variance in COVID-specific worry and rumination. CONCLUSIONS: These findings suggest that adolescents with poor sleep quality and perturbed WM integrity may be at risk of heightened reactivity to future stressful events and interventions should focus on improving sleep onset latency.

A novel, complex systems approach to modelling risk of psychological distress in young adolescents.

Adolescence is a period of significant anatomical and functional brain changes, and complex interactions occur between mental health risk factors. The Longitudinal Adolescent Brain Study commenced in 2018, to monitor environmental and psychosocial factors influencing mental health in 500 adolescents, for 5 years. Participants are recruited at age 12 from the community in Australia's Sunshine Coast region. In this baseline, cross-sectional study of N = 64 participants, we draw on the network perspective, conceptualising mental disorders as causal systems of interacting entities, to propose a Bayesian network (BN) model of lifestyle and psychosocial variables influencing chances of individuals being psychologically well or experiencing psychological distress. Sensitivity analysis of network priors revealed that psychological distress (Kessler-10) was most affected by eating behaviour. Unhealthy eating increased the chance of moderate psychological distress by 600%. Low social connectedness increased the chance of severe psychological disorder by 200%. Certainty for psychological wellness required 33% decrease in unhealthy eating behaviours, 11% decrease in low social connectedness, and 9% reduction in less physical activity. BN can augment clinician judgement in mental disorders as probabilistic decision support systems. The full potential of BN methodology in a complex systems approach to psychopathology has yet to be realised.

Phase-Amplitude Coupling, Mental Health and Cognition: Implications for Adolescence.

Identifying biomarkers of developing mental disorder is crucial to improving early identification and treatment-a key strategy for reducing the burden of mental disorders. Cross-frequency coupling between two different frequencies of neural oscillations is one such promising measure, believed to reflect synchronization between local and global networks in the brain. Specifically, in adults phase-amplitude coupling (PAC) has been shown to be involved in a range of cognitive processes, including working and long-term memory, attention, language, and fluid intelligence. Evidence suggests that increased PAC mediates both temporary and lasting improvements in working memory elicited by transcranial direct-current stimulation and reductions in depressive symptoms after transcranial magnetic stimulation. Moreover, research has shown that abnormal patterns of PAC are associated with depression and schizophrenia in adults. PAC is believed to be closely related to cortico-cortico white matter (WM) microstructure, which is well established in the literature as a structural mechanism underlying mental health. Some cognitive findings have been replicated in adolescents and abnormal patterns of PAC have also been linked to ADHD in young people. However, currently most research has focused on cross-sectional adult samples. Whereas initial hypotheses suggested that PAC was a state-based measure due to an early focus on cognitive, task-based research, current evidence suggests that PAC has both state-based and stable components. Future longitudinal research focusing on PAC throughout adolescent development could further our understanding of the relationship between mental health and cognition and facilitate the development of new methods for the identification and treatment of youth mental health.

Short strides to important findings: A short interval longitudinal study of sleep quality, psychological distress and microstructure changes to the uncinate fasciculus in early adolescents.

BACKGROUND: Developmental studies have shown adolescence is a period of ongoing white matter (WM) development, reduced sleep quality and the onset of many mental disorders. Findings indicate the WM development of the uncinate fasciculus (UF), a WM tract suggested to play a key role in mental disorders, continues throughout adolescence. While these studies provide valuable information, they are limited by long intervals between scans (1 to 4 years) leaving researchers and clinicians to infer what may be occurring between time-points. To allow inferences to be made regarding the impact that sleep quality may be having on WM development, longitudinal studies with much shorter between-scan intervals are required. METHODS: The current study reports longitudinal data of self-reported sleep quality (PSQI), diffusion tensor imaging (DTI) measures of WM development and psychological distress (K10) for n = 64 early adolescents spanning the first twelve months (four time-points; Baseline, 4, 8, & 12 months) of the Longitudinal Adolescent Brain Study (LABS) study currently underway at the Thompson Institute. RESULTS: Generalised Estimating Equation analysis showed a significant relationship between sleep quality and psychological distress over the four time-points. Reduced radial diffusivity and increased fractional anisotropy of the UF is also reported with increasing age suggesting that ongoing myelination is occurring. Adding sleep quality to the model, however, negatively impacted this myelination process. CONCLUSION: These findings represent an important step towards elucidating how sleep, psychological distress and maturation of the UF may co-develop during early adolescence.

The Cyberbullying Picture Series (CyPicS): Developed for Use in Cyberbullying and Cyberbystander Research.

While research has examined bystander responses in a traditional sense, there is a dearth of research regarding responses of cyberbystanders in a real-time situation, such as observing a cyberbullying scenario. This article describes a novel protocol designed to develop a series of images to be used to undertake research that aims to examine cyberbystander responses. A total of 24 scenarios (12 negative (cyberbullying) and 12 neutral) were created by the researchers and designed to mimic the way such scenarios would appear on a social networking site. The negative (cyberbullying) stimuli were rated in terms of level of severity, and the scenarios were compared to a selection of images from the International Affective Picture System using the Self-Assessment Manikin. These stimuli were compiled to form the Cyberbullying Picture Series (CyPicS). Through the development of the CyPicS, this protocol will aid future researchers in examining responses to real-life scenarios, as it is the first of its kind to develop these scenarios and test and evaluate them. CyPicS will provide researchers with the means to systematically evaluate responses to validated, real-life cyberbullying scenarios. More specifically, future researchers can utilize CyPicS to investigate how cyberbystanders respond when observing cyberbullying stimuli compared to neutral stimuli, as well as to measure and understand reactions or perceptions of cyberbullying. CyPicS can be used in any form of cyberbullying research (including electroencephalography and eye-tracking studies, psychological research, and functional magnetic resonance imaging studies) that may utilize bystander reactions and behaviors. Findings from research that utilizes CyPicS will greatly increase our understanding of bystander responses, and with variations in study design, researchers can further examine past or future associations with cyber-victim/bully status and mental health outcomes.

Suicidality in 12-Year-Olds: The Interaction Between Social Connectedness and Mental Health.

Suicidal thoughts and behaviors (STB) are a leading cause of death in adolescence. To date, most research with youth has focused on risk factors for suicide; and less attention has been paid to resilience factors. This study examined whether positive beliefs and social connectedness moderate associations between mental health symptoms and STB. A community sample of 12-year-olds (N = 60) completed self-report questionnaires on their STB, mental health symptoms, positive beliefs and social connectedness. Nearly 20% of the adolescents reported STB. STB was associated with increased mental health symptoms and lower scores on the resilience measures. A significant moderating effect of social connectedness showed that youth with a combination of poor mental health and high levels of social support exhibited lower levels of STB. There was no significant moderating effect of positive beliefs. These results indicate that social support should be screened for in primary care and incorporated into youth suicide prevention programs.

Associations between sleep quality and psychological distress in early adolescence.

Background: Although numerous studies have reported an association between sleep quality and mental health, few have focused on this association exclusively in early adolescence. Targeting this age group is vital as many mental illnesses first emerge during adolescence and remain a significant burden throughout life. Method: In the current study n = 60 participants aged 12 years completed the Pittsburgh Sleep Quality Index (PSQI) and Kessler Psychological Distress Scale (K10). Results: Consistent with previous findings, bivariate correlations revealed significant positive linear relationships between K10 total score and (i) PSQI total score; (ii) sleep quality; (iii) daytime dysfunction; and (iv) sleep disturbance. However, contrary to previous findings, there was no significant correlation between K10 scores and sleep duration. Conclusion: The association between sleep quality and psychological distress in early adolescents provides some important clues about the role that sleep may play in predicting the onset of anxiety and depressive disorders. Longitudinal studies should be undertaken to investigate age-related changes in sleep and psychological distress.

Investigating the association between sleep quality and diffusion-derived structural integrity of white matter in early adolescence.

INTRODUCTION: Poor sleep quality has been linked to reduced neural connectivity through decreased white matter (WM) structural integrity. WM tract development has been shown to continue throughout adolescence with studies reporting positive correlations between diffusion-derived estimates of structural integrity and reduced sleep quality in adult samples. Few studies have investigated this relationship exclusively within a sample of young adolescents. METHODS: N = 51 participants aged 12 years (M = 151.5 months, SD = 4 months) completed a self-report questionnaire which included the Pittsburgh Sleep Quality Index (PSQI) and underwent Diffusion Tensor Imaging (DTI) as part of their baseline assessment in the Longitudinal Adolescent Brain Study (LABS) being undertaken in Queensland, Australia. Fractional anisotropy (FA) were extracted using Tract-Based Spatial Statistics (TBSS) to investigate associations between sleep quality and WM integrity across the brain. RESULTS: Significant correlations were found between the posterior limb of the internal capsule and the PSQI total sleep quality and sleep latency scores. There was also a significant difference in sleep duration between male and female participants. CONCLUSION: These findings provide an important insight of the impact that sleep may have on early adolescent WM development. Ongoing longitudinal assessment of sleep on WM development across adolescence is likely to provide further important information about how WM maturation relates to variations in sleep quality as circadian rhythm changes occur during middle and late adolescence.

Cyberbullying and Adolescent Neurobiology.

Whilst it is well documented that cyberbullying is linked to poor mental health outcomes, limited research has examined how cyberbullying may influence brain development adolescents, and the influence of each of these factors. The article's primary objective was to develop an understanding of research to date that addresses any relationship between adolescent brain development and cyberbullying. The current article reviews any existing literature regarding the impact of cyberbullying on adolescent brain development, paying particular attention to research using magnetic resonance imaging (MRI) techniques. Whilst brain studies have examined neural mechanisms associated with conduct disorders, antisocial behavior, and aggression in young people; there is a paucity of research examining these factors specifically in relation to cyberbullying. In particular, little research has examined how MRI research could help understand how the brain is affected by cyberbullying, not only in bullies and victims but also bystanders. This article highlights the gaps in the cyberbullying field in relation to neuroscience research, and the need for further, longitudinal research examining cyberbullying and how it may affect brain development in young people. This article concludes by suggesting a framework for future research, and highlights the importance of future findings for developing interventions and understanding short and long term effects.