Auditory–motor interactions in the early auditory system

Frequency-following response (FFR) analysis code for the EAM1 project

Manuscript details

Motor signals modulate cortical but not subcortical processing of self-initiated sounds Laura Raiff, Gabrielle Butler, Kailyn McFarlane, Bharath Chandrasekaran, Kevin R. Sitek bioRxiv 2026.07.10.737812; doi: https://doi.org/10.64898/2026.07.10.737812

Data availability

Availble in BIDS format: https://openneuro.org/datasets/ds008161

Analysis steps

1. Extract precise sound onset timing from the EEG ergo channel: get_event_onsets_stimtrack.ipynb
2. Convert the EEG data to the Brain Imaging Data Structure (EEG-BIDS): bids-conversion.ipynb
3. Preprocess and analyze the FFRs: ffr_preprocessing_analysis.ipynb, onset_latency_ffr.py, and onset_latency_analysis.py
4. Preprocess and analyze the cortical ERPs: erp_preprocessing_analysis.ipynb
5. Analyse the phase consistency of the FFRs and cortical ERPs plot_phase_consistency.ipynb

How to contribute

Before running any of the notebooks, please set up the following gitconfig filter to avoid metadata clutter:

• install required packages: pip install -r requirements.txt
• Make sure nbconvert is installed globally (pip install nbconvert or conda install nbconvert)
• Windows: in a bash terminal, run: bash setup-git-jupyter-filters.sh
• Mac: run chmod +x setup-git-jupyter-filters.sh then ./setup-git-jupyter-filters.sh