**General Information**
- This repository is part of a bigger project called CI-DOT (Cochlear
Implant - Diffuse Optical Tomography).
- If you wish to run the scripts, please download the whole OSF
repository or maintain its folder structure. The scripts follow the repository's path structure for finding the related files.
- Before running the scripts:
- Please make sure that NeuroDOT_Beta is in your path (https://github.com/WUSTL-ORL/NeuroDOT_Beta).
- Assign the `osfPath` variable in the beginning of all scripts as your local OSF path (example: `osfPath = '/usr/ci_dot/OSF/'`).
- All MATLAB scripts are optimized to run on a linux machine and using
MATLAB 2018. For Windows or other MATLAB versions, modifications
might be needed.
- The README file contains more detailed information for each script and data structure.
**Repository Structure**
The OSF repository contains a **README** file and four main folders:
- **code** contains all MATLAB scripts for making the paper figures and a **util** folder containing all dependencies for running the scripts.
- **data** contains 3 subfolders: **figure2**, **figure3A**, and **figure4_5_S7**, which contain all preprocessed data and spm output folders for the figure panels.
- **documents** contains five csv files:
- **cidot_metadata.csv** contains scan info for each subject such as subject_id, scan_date, subject_type, etc. used for loading data.
- **cidot_brain_behavior.csv** contains both demographic info used in Table 1 and data driven mean activation values used in Figure 6.
- **auditory_threshold.csv** contains the auditory thresholds used in Figure S7.
- **hw_task_times.csv** contains the stimulus onset times for all spoken word recognition (i.e. hearing words, hw) runs.
- **md_task_times.csv** contains the stimulus onset times for all spatial working memory (i.e. multiple demand network, md) runs.
- **stim** contains two subfolders: **run1_audio_files** and **run2_audio_files**. These two folders contain the sound files for six 15 sec stimulus blocks used in each spoken word recognition run.
