M. Dyrba

Artificial intelligence and machine learning for precision prevention of cognitive decline: integrating multimodal biomarkers, lifestyle interventions, and natural medicines from prediction to clinical practice

Resting state brain activity and association with transfer of cognitive training gains

Baseline resting-state functional connectivity within the default mode network and the central executive network did not predict transfer of training gains and the need for larger, multi-modal neuroimaging studies to identify reliable neural predictors of cognitive training outcomes is highlighted.