Quantifying two-dimensional and three-dimensional stereoscopic learning in anatomy using electroencephalography.

ABSTRACT: Advances in computer visualization enabling both 2D and 3D representation have generated tools to aid perception of spatial relationships and provide a new forum for instructional design. A key knowledge gap is the lack of understanding of how the brain neurobiologically processes and learns from spatially presented content, and new quantitative variables are required to address this gap. The objective of this study was to apply quantitative neural measures derived from electroencephalography (EEG) to examine stereopsis in anatomy learning by comparing mean amplitude changes in N250 (related to object recognition) and reward positivity (related to responding to feedback) event related to potential components using a reinforcement-based learning paradigm. Health sciences students (n 

SUBMITTER: Anderson SJ 

PROVIDER: S-EPMC6637108 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature