Dynamic Network Analysis of Electrophysiological Task Data

Example scripts for reproducing the results in Gohil et al. (2024). If you find these scripts useful, please cite:

Gohil, C., et al. "Dynamic Network Analysis of Electrophysiological Task Data." bioRxiv (2024): 2024-01.

Pipeline Overview

Directories

• 1_preproc_and_source_recon: Preprocessing for the sensor-level MEG data and source reconstruction to estimate parcel time courses.
• 2_conventional_sensor_level_analysis: Conventional time-frequency response analysis applied to the preprocessed sensor-level data.
• 3_conventional_parcel_level_analysis: Conventional time-frequency response analysis applied to the parcel data.
• 4_hmm_network_analysis: HMM network inference applied to the parcel data and network response analysis.
• 5_dynemo_network_analysis: DyNeMo network inference applied to the parcel data and network response analysis.

Prerequisites

To run these scripts you need to install OSL and osl-dynamics. See the instructions here to install these packages.

Getting help

You can email chetan.gohil@psych.ox.ac.uk if you run into errors, need help or spot any typos. Alternatively, please open an issue on this repository.