Predicting future learning from baseline network architecture

Marcelo Gomes Mattar, Nicholas F. Wymbs, Andrew S. Bock, Geoffrey Karl Aguirre, Scott T. Grafton, Danielle S. Bassett

Abstract: Highlights•Sensorimotor autonomy at rest predicts faster motor learning in the future.•Connection between calcarine and superior precentral sulci form strongest predictor.•Sensorimotor autonomy is a relatively stable individual trait.