Adolescent brain-age differences between profiles based on suicidal ideation, distress and wellbeing
Crethar, M.; Han, L. K.; Prince, T.; Mills, L.; Silk, T.; Vijayakumar, N. K.; Hermens, D. F.; Boyes, A.
Show abstract
BackgroundPredicted brain-age derived from structural neuroimaging is being increasingly explored as a marker of brain maturation and biological age, with mental ill-health linked to advanced biological ageing in adults. Longitudinal evidence in adolescents remains limited, and the relationship between suicidality, psychological distress, wellbeing and brain-age gap (BrainAGE; predicted brain-age minus chronological age) is poorly understood. MethodsData were drawn from 135 adolescents (54.8% female; 12-16.9 years; n=688 observations) from the Longitudinal Adolescent Brain Study. Latent profile analysis (LPA) used person-level means and standard deviations of distress (K10), wellbeing (COMPAS-W) and suicidal ideation (SIDAS). BrainAGE was estimated using the CentileBrain Global-BrainAGE pipeline from FreeSurfer-derived morphometric features. Associations between cluster membership and BrainAGE were examined using linear regression and linear mixed-effects models, adjusted for chronological age and sex. ResultsThree profiles emerged: low distress (N=110; 50% female), moderate distress with greater suicidal ideation (N=14; 64% female) and moderate distress with lower suicidal ideation (N=11; 91% female). The moderate distress with lower suicidal ideation cluster showed significantly higher BrainAGE relative to the low distress cluster (B=1.87, SE=0.76, p=.015). Whereas, the moderate distress with greater suicidal ideation cluster did not differ to the low distress cluster. Chronological age was positively associated with BrainAGE (B=0.67, SE=0.07, p<.001). ConclusionsDistinct adolescent mental health profiles may be associated with BrainAGE, depending on the levels and stability of distress and suicidality. However, the longitudinal associations were less robust across small extensions of the developmental range studied, warranting some cautious interpretation and need for replication.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Puberty differentially predicts brain maturation in males and females during early adolescence: A longitudinal ABCD Study 93%
- Longitudinal neonatal brain development and socio-demographic correlates of infant outcomes following preterm birth 92%
- Combined effects of age and BMI are related to altered cortical thickness in adolescence and adulthood 92%
Similar papers in this journal
- Childhood socio-economic disadvantage predicts reduced myelin growth across adolescence and young adulthood 92%
- Dissecting unique and common variance across body and brain health indicators using age prediction 92%
- A comparison of intracranial volume estimation methods and their cross-sectional and longitudinal associations with age 92%
Similar papers in this journal
Similar papers in this journal
- MRI signature of brain age underlying post-traumatic stress disorder in World Trade Center responders 91%
- Contributing Factors to Advanced Brain Aging in Depression and Anxiety Disorders 90%
- Delineating and validating higher-order dimensions of psychopathology in the Adolescent Brain Cognitive Development (ABCD) study 89%
Similar papers in this journal
- Individual variability in structural brain development from late childhood to young adulthood 92%
- Profiling intra- and inter-individual differences in brain development across early adolescence 92%
- Longitudinal change in executive function is associated with impaired top-down frontolimbic regulation during reappraisal in older adults 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.