Resting-state fMRI activity predicts unsupervised learning and memory in an immersive virtual reality environment.

ABSTRACT: In the real world, learning often proceeds in an unsupervised manner without explicit instructions or feedback. In this study, we employed an experimental paradigm in which subjects explored an immersive virtual reality environment on each of two days. On day 1, subjects implicitly learned the location of 39 objects in an unsupervised fashion. On day 2, the locations of some of the objects were changed, and object location recall performance was assessed and found to vary across subjects. As prior work had shown that functional magnetic resonance imaging (fMRI) measures of resting-state brain activity can predict various measures of brain performance across individuals, we examined whether resting-state fMRI measures could be used to predict object location recall performance. We found a s

SUBMITTER: Wong CW 

PROVIDER: S-EPMC4186845 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature