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Code repository for the manuscript "Distance of bipolar re-referencing imparts nonlinear frequency-specific influences on intracranial recording signal measurements"

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Kleen-Lab/Bipolar_Expedition

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Public code repository for the Journal of Engineering manuscript "Distance of bipolar re-referencing imparts nonlinear frequency-specific influences on intracranial recording signal measurements"

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Package setup.

1. Required software

MATLAB (tested with Version 2023-2025).
Chronux toolbox.
R (tested with version 4.4).
Python (version 3).

2. Other dependencies

None

3. Installation

To install the package and have a copy of the code to edit locally, navigate to where you would like to store the package code in your terminal. Clone the package.

https://github.com/Kleen-Lab/bipolar_rereferencing.git

You will also need the Chronux package. Chronux. We have packaged a version of Chronux under helpers

Note that you will have to configure paths in the code to wherever your data is stored. The code is setup such that you have put the data in a specified structure in a /data folder inside of this code directory, and have a /results folder inside of this code directory as well.

4. Download data and setup

Download data from : 10.17605/OSF.IO/CN8W4

and place in data/ subfolder in the main working directory.

Place the baseline-high-density-data data in a subfolder under the data directory.

Place the imaging data in a subfolder under the data directory.

Files of interest

Run the master_bipolar_2025.m file to generate all analyses and figures. Information to run all analysis and plots is included in the master_script and the functions it calls.

The supplementary figure 1 requires python and R to recreate . Refer to supp_figure_1_stats.R and bipolar_supplementary1.py.

The helpers folder has the associated helper functions that the scripts call to generate the analyses and figures.

License

BSD-3 License

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Code repository for the manuscript "Distance of bipolar re-referencing imparts nonlinear frequency-specific influences on intracranial recording signal measurements"

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