Benefits of multi-modal fusion analysis on a large-scale dataset: Life-span patterns of inter-subject variability in cortical morphometry and white matter microstructure

► Linked ICA used to fuse six modalities of MRI data from 484 healthy subjects. ► A strong age-related component shows r = 0.95 correlation with age, over 8-85 yrs. ► Most features show local, bilateral variability in multiple GM/WM measures. ► Identifies artifact components, including scanner software upgrade effects.