Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships.

ABSTRACT: Although both resting and task-induced functional connectivity (FC) have been used to characterize the human brain and cognitive abilities, the potential of task-induced FCs in individualized prediction for out-of-scanner cognitive traits remains largely unexplored. A recent study Greene et al. (2018) predicted the fluid intelligence scores using FCs derived from rest and multiple task conditions, suggesting that task-induced brain state manipulation improved prediction of individual traits. Here, using a large dataset incorporating fMRI data from rest and 7 distinct task conditions, we replicated the original study by employing a different machine learning approach, and applying the method to predict two reading comprehension-related cognitive measures. Consistent with their findings, we

SUBMITTER: Jiang R 

PROVIDER: S-EPMC7345498 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature