Laura K. M. Han

Global Structural Brain-Age in Adolescence: Application of an Established Method to Short-Interval, Longitudinal Data

Brain-age estimates from grey matter structure provide a promising tool to examine the neurobiology of mental health. However, whether existing models generalise to longitudinal adolescent data remains unclear. The CentileBrain Global-BrainAGE ‘Lifespan’ Model, was applied to N=138 participants (74 females, 64 males) f...

Adolescent brain-age differences between profiles based on suicidal ideation, distress and wellbeing

Determinants of the plasma metabolome: cross-sectional and longitudinal associations over six years in the NESDA cohort

This study provides hierarchical insights into the cross-sectional and longitudinal implications of health, stress, and lifestyle exposures for the plasma metabolome in the Netherlands Study of Depression and Anxiety.