harrypotter¶
Subjects |
5 — |
Tasks |
📖 Harry Potter and the Sorcerer’s Stone — Chapter 9 — word-by-word text at 2 Hz; 7 runs × ~10 min; 1 session per participant |
Data |
🧠 fMRI — 1.4 h/subject |
📖 Text reading — 1.4 h/subject |
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🫀 ECG — 1.4 h/subject |
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🫁 Respiration — 1.4 h/subject |
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🫀 Pulse — 1.4 h/subject |
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😓 Skin conductance (EDA) — 1.4 h/subject |
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👁️ Eyetracking (gaze ❌, pupillometry ❌) |
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Assets |
📁 BIDS · 🧠 fMRIPrep · 🫀 PhysPrep · timeseries |
How to cite
Toneva, Mariya, Mitchell, Tom M., Wehbe, Leila (2022). Combining computational controls with natural text reveals aspects of meaning composition. Nature Computational Science, 2, 745–757. doi: 10.1038/s43588-022-00354-6
Contributors
Conceptualization: Mariya Toneva · Leila Wehbe
Data curation: François Paugam · Julie A. Boyle · Pravish Sainath · François Lespinasse · Basile Pinsard · Marie-Eve Picard
Investigation: François Paugam · Julie A. Boyle · Pravish Sainath · François Lespinasse · Basile Pinsard · Marie-Eve Picard
Methodology: François Paugam · Mariya Toneva · Leila Wehbe · Basile Pinsard
Project administration: Julie A. Boyle
Software: François Paugam · Basile Pinsard
Validation: François Paugam · Basile Pinsard
This dataset contains a single session per participant (N=5) when they read chapter 9 from Harry Potter and the Sorcerer’s Stone. The text was presented word by word, at a 2Hz pace (each word presented for .5s). This chapter was split over 7 runs of ~9 to ~14 min in duration. The stimuli used in this dataset are taken from the experiment reported by Wehbe et al. (2014) for which a separate fMRI dataset (N=9) has been collected and shared.