Dynamic reconfiguration of functional brain networks during working memory training

This study investigates how the brain's functional network adapts as individuals master a dual n-back task. Using fMRI scans over a 6-week training period, researchers assessed brain network modularity. Results showed a steady increase in whole-brain modularity during training. Dynamic analysis revealed training-modulated autonomy of the default mode system and integration among task-positive systems. Task automation led to nonlinear changes in integration between fronto-parietal and default mode systems, and integration with the subcortical system, suggesting that mastering a cognitively demanding task may result in a more segregated network organization.

Karolina Finc, Kamil Bonna, Xiaosong He, David M. Lydon-Staley, Simone Kühn, Włodzisław Duch, Danielle S. Bassett