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A studyforrest extension, retinotopic mapping and localization of higher visual areas
ayan-sengupta
michael-hanke
christian-haeusler
falko-kaule
naturalistic-neuroimaging
graphRootNodePID pid doi date title description kind author topic
xyzrins:publications/50f24bfa-4371-4f74-a57f-d62d71553ecb xyzrins:publications/50f24bfa-4371-4f74-a57f-d62d71553ecb 10.1038/sdata.2016.93 2016-10-25 A studyforrest extension, retinotopic mapping and localization of higher visual areas 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. bibo:AcademicArticle
pid given_name family_name
xyzrins:persons/ayan-sengupta Ayan Sengupta
pid given_name family_name
xyzrins:persons/michael-hanke Michael Hanke
pid given_name family_name
xyzrins:persons/christian-haeusler Christian Häusler
pid given_name family_name
xyzrins:persons/falko-kaule Falko Kaule
pid display_label
xyzrins:topics/naturalistic-neuroimaging Naturalistic neuroimaging