Verbal memory performance in healthy older adults: Predicting inter-individual differences in cognitive training outcomes

There is a paucity of research investigating the characteristics of individuals who best benefit longer-term from training interventions targeting age-related cognitive decline. Latent growth mixture modeling (LGMM) can be used to identify classes of individual with different trajectories of cognitive decline. The present study used LGMM to identify classes reflecting trajectories of decline for verbal memory across a 12- month period, following participation in a cognitive training program. It also examined how these trajectories were predicted by age and education