A studyforrest extension, retinotopic mapping and localization of higher visual areas.

ABSTRACT: The studyforrest (http://studyforrest.org) dataset is likely the largest neuroimaging dataset on natural language and story processing publicly available today. In this article, along with a companion publication, we present an update of this dataset that extends its scope to vision and multi-sensory research. 15 participants of the original cohort volunteered for a series of additional studies: a clinical examination of visual function, a standard retinotopic mapping procedure, and a localization of higher visual areas-such as the fusiform face area. The combination of this update, the previous data releases for the dataset, and the companion publication, which includes neuroimaging and eye tracking data from natural stimulation with a motion picture, form an extremely versatile and compr

SUBMITTER: Sengupta A 

PROVIDER: S-EPMC5079119 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature