on004078
A synchronized multimodal neuroimaging dataset to study brain language processing
ANAT DWI FUNC MEG Zarr
SMN4Lang is a synchronized multimodal neuroimaging dataset for studying brain language processing. It contains fMRI and MEG recordings from the same 12 participants listening to about 6 hours of naturalistic Mandarin Chinese stories. It also includes structural T1/T2, diffusion MRI, resting-state fMRI, and linguistic annotations of the stimuli such as word frequencies, part-of-speech tags, syntactic trees, time-aligned characters and words, and word embeddings.
- Participants
- 12
- Citations
- 4
- Size
- 1.36 TB
- Version
- v1.0.0
- Updated
- Jun 23, 2026