floc¶
Key facts¶
Subjects |
3 — |
Tasks |
👁️ Functional localizer — 5 visual categories (faces, bodies, places, objects, characters) — 6 sessions × 2 runs; rapid 12-trial blocks; one-back repetition detection task; 9 GLM contrasts; subject-specific ROIs for FFA, OFA, pSTS, PPA, OPA, MPA and EBA |
Data |
🧠 fMRI — 0.8 h/subject |
📊 Controlled — 0.77 h/subject |
|
📐 Contrasts — 9 contrasts |
|
Assets |
How to cite
St-Laurent, M., Pinsard, B., Contier, O., DuPre, E., Seeliger, K., et al. (2026). CNeuroMod-THINGS, a densely-sampled fMRI dataset for visual neuroscience. Scientific Data, 13, 141. doi: 10.1038/s41597-026-06591-y
Contributors
Marie St-Laurent 💻🔣🎨📖👀 · Basile Pinsard 🤔📆💻🔣🎨 · Oliver Contier 💻🔣🎨👀 · Elizabeth DuPre 💻🔣👀 · Katja Seeliger 💻👀 · Valentina Borghesani 🤔🎨 · Julie A. Boyle 🤔💰📆🔣👀 · Lune Bellec 🤔💰📆🔣🎨👀 · Martin N. Hebart 🤔💰🧑🏫💻🔣🎨📖👀
💻 code · 🔣 data · 🎨 design · 📖 documentation · 💰 funding · 🤔 ideas · 🧑🏫 mentoring · 📆 project management · 👀 review
Overview¶
Four participants (sub-01, sub-02, sub-03, sub-05) completed six sessions of a functional localizer task designed to identify brain regions responding preferentially to specific stimulus categories. The task was based on a Psychopy implementation of the Stanford VPN lab’s fLoc task using stimuli from the fLoc functional localizer package (downloaded here).
Note: Data for sub-05 have been collected but not yet processed.
Imaging sessions¶
Each session included two functional runs of 3.85 minutes with randomly ordered ~6s blocks of rapidly presented images from one of five categories : faces, places, bodies, objects and characters. Each block included 12 trials for which an image from the block’s category was displayed centrally for 0.4s, followed by a 0.095-0.1s ISI. Subjects were instructed to fixate on a red dot in the middle of the screen and to press a button with the right thumb on a custom mri-compatible video game controller (Harel et al. (2022)) whenever the same image appeared twice in a row (the “one-back” task variation).
Tasks¶
Blocks of baseline condition during which the red fixation dot appeared on a grey background for 5.96s were also intermixed in the block sequence. Each run included 6 blocks from each of the five categories and 6 blocks of baseline. For each session, the first run included images from the house (places), body (body parts), word (characters), adult (faces) and car (objects) fLoc package sub-categories. The second run included images from the corridor (places), limb (body parts), word (characters), adult (faces) and instrument (objects) sub-categories.