Individual brain activity patterns during task are predicted by distinct resting-state networks that may reflect local neurobiological features
Robert Scholz, R. Austin Benn, Victoria Shevchenko, Ulysse Klatzmann, Wei Wei, Francesco Alberti, Rocco Y.-C. Chiou, Xi-Han Zhang, Robert Leech, Jonathan Smallwood, Daniel S. Margulies
The paper predicts individual brain activity patterns during tasks using resting-state networks, showing task-specificity and relevance of cortical microstructure/morphology.
bioRxiv · Nov 13, 2024 · PreprintNeuroscience