Published April 21, 2025
| Version v1.0
Dataset
Open
Low-frequency Cortical Activity Reflects Context-dependent Parsing of Word Sequences
Authors/Creators
Description
The dataset and code used for the publication of "Low-frequency Cortical Activity Reflects Context-dependent Parsing of Word Sequences".
Data path
- derivatives (./data/derivatives/): preprocessed data.
- meg_quat-tsss-withEOG_100hz_0d3-40: meg data preprocessed at 100 Hz filtered between 0.3 and 40 Hz.
- FreeSurfer: anatomy data preprocessed
- behavior_data (./behavior_data/)
- stimuli (./exp_procedure/material/): exp stimuli and procedure
- features (./data/features/): calculated phonological and linguistic features.
Preprocessing:
- [preprocessing.py]: preprocessing of behavior and MEG data.
- [recon.py]: reconstruction of T1 .niift data into surface data in FreeSurfer.
- [analysis_stimuli.ipynb]: preprocessing and feature extraction of stimuli.
- [analysis_meg.ipynb]: spectral, time course, and RSA analysis.