A studyforrest extension, retinotopic mapping and localization of higher visual areas
Document Type
Article
Publication Date
10-25-2016
Publication Title
Scientific Data
Department
Department of Psychological and Brain Sciences
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 comprehensive resource for brain imaging research-with almost six hours of functional neuroimaging data across five different stimulation paradigms for each participant. Furthermore, we describe employed paradigms and present results that document the quality of the data for the purpose of characterising major properties of participants' visual processing stream.
DOI
10.1038/sdata.2016.93
Dartmouth Digital Commons Citation
Sengupta, Ayan; Kaule, Falko R.; Guntupalli, J Swaroop; Hoffmann, Michael B.; Haeusler, Christian; Stadler, Joerg; and Hanke, Michael, "A studyforrest extension, retinotopic mapping and localization of higher visual areas" (2016). Dartmouth Scholarship. 250.
https://digitalcommons.dartmouth.edu/facoa/250
Comments
Multidisciplinary Sciences