five

Game of Thrones - A naturalistic viewing dataset

收藏
OpenNeuro2023-11-14 更新2026-03-14 收录
下载链接:
https://openneuro.org/datasets/ds004848
下载链接
链接失效反馈
官方服务:
资源简介:
# Game of Thrones - A naturalistic viewing dataset ## Overview This dataset contains fMRI movie-watching and category localiser data in 28 developmental prosopagnosics and 45 neurologically healthy controls. Participants are additionally grouped by their familiarity with the Game of Thrones television series. In movie-watching scans, participants passively viewed a series of short audiovisual clips (ranging from 50 to 117 s duration; total duration = 12 min 58 s) taken from the Game of Thrones television series. In category localiser scans, participants viewed images of faces, scenes, and phase scrambled versions of the face images. These can be used to define face and scene selective regions of interest. > Please refer to the folloiwng paper when using this dataset: > > Noad, K., Watson, D.M., Andrews, T.J. (2024, Cerebral Cortex). Familiarity enhances functional connectivity between visual and non-visual regions of the brain during natural viewing ## Data Contents * `participants.tsv` - List of subject IDs in control and developmental prosopagnosic groups, along with whether they were familiar or unfamiliar with Game of Thrones. * `slice_timings.tsv`, `fsl_slice_timings.txt` - Slice timings for functional scans. The TSV file gives the times in milliseconds, and the text file gives the times in normalised units of the TR suitable for entering into FEAT. > Scans were acquired with the HCP/CMRR multiband sequence. More information > on slices timings can be found at: > https://wiki.humanconnectome.org/download/attachments/40534057/CMRR_MB_Slice_Order.pdf * `behavioural_measures.tsv` - Scores on PI20, CFMT, and Game of Thrones quiz tasks (see below for more details). PI20 scores are out of 100. CFMT scores are given as percentage accuracies. Quiz scores are given as percentage accuracies over all questions as well as broken down by face, scene, and narrative questions. * `Subject Directories` - MRI data directories for each subject: - `anat` - T1 anatomical images - `fmap` - Magnitude and phase difference fieldmap images - `func` - Movie-watching (Game of Thrones) and category localiser data ## Behavioural Measures We provide two measures of face processing ability (PI20 and CFMT) and a quiz assessing familiarity with the Game of Thrones TV series. All participants completed the Game of Thrones quiz, and all developmental prosopagnosics completed the PI20 and CFMT assessments. Approximately half of the control subjects also completed the CFMT. * `PI20` - 20-item prosopagnosia index, used as initial screening for developmental prosopagnosia. All developmental prosopagnosic participants comleted this. > Reference: Shah et al. (2015), Royal Society Open Science, 2(150305), 1-6. * `CFMT` - Cambridge Face Memory Test, used as secondary screening for developmental prosopagnosia. All developmentral prosopagnosic participants and approximately half of the control participants completed this. > Reference: Duchaine & Nakayama (2006), Neuropsychologia, 44(4), 576-585. * `Game of Thrones Quiz` - We developed this quiz to assess familiarity with the Game of Thrones television series. All participants completed this quiz. The quiz comprised 3 types of questions: * **Face** questions presented participants with a picture of a character, and participants had to provide a name or some defining biographical information for that character (e.g., "Jon Snow"). * **Scene** questions similarly presented participants with a picture of a scene from the show and participants had to name or provide some details of the location (e.g, "King's Landing"). * **Narrative** questions were 4-option multiple choice questions about key elements of the Game of Thrones story. For example, "Which character was Lord of Winterfell and was beheaded at the end of Season 1 - A) Daenerys Targaryen, B) Jon Snow, C) Ned Stark, or D) Tyrion Lannister?" ## Notes * sub-DP15 is missing category localiser and fieldmap scans due to time constraints during the scanning session.
创建时间:
2023-11-14
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作