Task-induced topological and geometrical changes in whole-brain dynamics predict cognitive individual differences
By applying a novel computational framework (MINDy-X) to Human Connectome Project data, this study demonstrates that task performance induces specific topological and geometric shifts in the brain's attractor landscape from resting to working memory states, and that individual variations in these dynamical changes predict cognitive differences such as error rates and response caution.