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  • 标题:An fMRI dataset in response to "The Grand Budapest Hotel", a socially-rich, naturalistic movie
  • 本地全文:下载
  • 作者:Matteo Visconti di Oleggio Castello ; Vassiki Chauhan ; Guo Jiahui
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2020
  • 卷号:7
  • 期号:1
  • 页码:1-9
  • DOI:10.1038/s41597-020-00735-4
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:Naturalistic stimuli evoke strong, consistent, and information-rich patterns of brain activity, and engage large extents of the human brain. They allow researchers to compare highly similar brain responses across subjects, and to study how complex representations are encoded in brain activity. Here, we describe and share a dataset where 25 subjects watched part of the feature film 鈥淭he Grand Budapest Hotel鈥?by Wes Anderson. The movie has a large cast with many famous actors. Throughout the story, the camera shots highlight faces and expressions, which are fundamental to understand the complex narrative of the movie. This movie was chosen to sample brain activity specifically related to social interactions and face processing. This dataset provides researchers with fMRI data that can be used to explore social cognitive processes and face processing, adding to the existing neuroimaging datasets that sample brain activity with naturalistic movies.
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