Understanding Wellbeing Profiles According to White Matter Structural Connectivity Sub-types in Early Adolescents: The First Hundred Brains Cohort from the Longitudinal Adolescent Brain Study.

Wellbeing is protective against the emergence of psychopathology. Neurobiological markers associated with mental wellbeing during adolescence are important to understand. Limited research has examined neural networks (white matter tracts) and mental wellbeing in early adolescence specifically. A cross-sectional diffusion tensor imaging analysis approach was conducted, from the Longitudinal Adolescent Brain study, First Hundred Brains cohort (N = 99; 46.5% female; Mage = 13.01, SD = 0.55). Participants completed self-report measures including wellbeing, quality-of-life, and psychological distress. Potential neurobiological profiles using fractional anisotropy, axial, and radial diffusivity were determined via a whole brain voxel-wise approach, and hierarchical cluster analysis of fractional anisotropy values, obtained from 21 major white matter tracts. Three cluster groups with significantly different neurobiological profiles were distinguished. No significant differences were found between the three cluster groups and measures of wellbeing, but two left lateralized significant associations between white matter tracts and wellbeing measures were found. These results provide preliminary evidence for potential neurobiological markers of mental health and wellbeing in early adolescence and should be tracked longitudinally to provide more detailed and robust findings.

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.

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.

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.

Subcortical Volume Correlates of Psychological Distress in Early Adolescence.

The hippocampus and amygdala have justifiably been the focus of much mental health research due to their putative roles in top-down processing control of emotion, fear, and anxiety. However, understanding the causal relationship between these regions and mental illness has been limited as current literature is lacking in the observation of neuro-structural changes preceding first episodes. Here, we report whole and sub-structural hippocampal and amygdala volume correlates of psychological distress in early adolescence. Automated hippocampal subfield and amygdala nuclei segmentation was carried out in 32 participants (12-13 years old) recruited for the Longitudinal Adolescent Brain Study (LABS) who had psychological distress scores measured by the Kessler-10. Partial correlation analyses revealed significant negative association between left whole amygdala volume and psychological distress. Sub-structure analysis revealed that smaller left hippocampal CA1 volume and left basal and accessory basal amygdala nuclei volumes were all significantly associated with higher levels of psychological distress. Four-month follow-up analysis also revealed an association between change in K10 and CA1 volume suggesting a continued relationship between this hippocampal substructure and psychological distress. Grey matter volume of subcortical sub-structures involved within the hippocampal-basolateral amygdala-prefrontal cortex loop are highly correlated and are significantly reduced in adolescents with higher levels of psychological distress, indicating these nuclei and subfields play an important role in the emergence of mental illness.

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.

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.

Using measures of intrinsic homeostasis and extrinsic modulation to evaluate mental health in adolescents: Preliminary results from the longitudinal adolescent brain study (LABS).

Adolescence is a period when complex interactions occur between mental health risk factors. The Longitudinal Adolescent Brain Study (LABS) commenced in 2018, to monitor environmental and psychosocial factors thought to influence mental health in 500 young people. Participants commence at 12 years of age, via a community-based recruitment model, and data is collected at 15 time-points over five years. This study examines demographic and psychosocial self-report data from time-point 1, for the first 50 participants. Here we investigate associations between environmental and psychosocial factors, considered as measures of intrinsic homeostasis and extrinsic modulation. Numerous strong correlations were found. Findings indicate that sleep dysfunction and social connectedness were strongly associated external modulators of intrinsic homeostasis in this sample of 12-year old participants. To successfully address the increase in mental health problems in young people, comprehensive evaluation of lifestyle and environmental risk factors is recommended in addition to medicalised approaches. Interventions to promote mental health wellbeing in young adolescents should include a focus on sleep quality and patterns and the positive and negative aspects of social connectedness.