Decoding Pain: Uncovering the Factors that Affect Performance of Neuroimaging-Based Pain Models

<p>This repository contains the codes and data which are used in the following paper.</p> <blockquote> <p>Dong Hee Lee, Sungwoo Lee, Choong-Wan Woo, Decoding Pain: Uncovering the Factors that Affect Performance of Neuroimaging-Based Pain Models, 2023, bioRxiv (<a href="https://doi.org/10.1101/2023.12.22.573021" target="_blank" rel="noopener">link</a>)</p> </blockquote> <h2>Dependencies</h2> <ol> <li>CanlabCore toolbox (<a href="https://github.com/canlab/CanlabCore" target="_blank" rel="noopener">link</a>)</li> <li>Mediation toolbox (<a href="https://github.com/canlab/MediationToolbox" target="_blank" rel="noopener">link</a>)</li> <li>SPM12 (<a href="https://www.fil.ion.ucl.ac.uk/spm/software/spm12/" target="_blank" rel="noopener">link</a>)</li> <li>MATLAB Statistics and Machine Learning Toolbox (<a href="https://www.mathworks.com/products/statistics.html" target="_blank" rel="noopener">link</a>)</li> </ol> <h2><strong>Usage</strong></h2> <p>Below are the codes that allow you to generate the main figures in the manuscript.</p> <ul> <li><code>fig_3_litearture_survey.m</code></li> <li><code>fig_4_literature_survey.R</code></li> <li><code>fig_5_litearture_survey.m</code></li> <li><code>fig_7_benchmarking_analysis.m</code></li> <li><code>fig_8_benchmarking_analysis.m</code></li> <li><code>fig_9_benchmarking_analysis.m</code></li> <li><code>fig_10_benchmarking_analysis.m</code></li> </ul> <p>To use these scripts, download all files and unzip the zipfile (i.e. <code>data.zip</code>). Open the script that you want to run in Matlab or R and set the current folder to the &nbsp;working directory. Add the paths for the dependencies. The other functions (e.g., <code>lpp_plot_boxplot.m</code>) are necessary to create the main figures. Make sure that the functions have to be saved in the same directory with the main scripts.</p>