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ANT-VR Repository

DOI

Welcome to the ANT-VR repository. This repository is a comprehensive resource for our ANT-VR study (https://doi.org/10.1016/j.heliyon.2025.e44267), adhering to the principles of Open Science.

Repository Contents

  1. Source\VR-App: The source code for the ANT-VR application.

  2. Source\LSL4EPrime: The source code for the LSL4EPrime add-in, that allows event marker streaming via LabStreamingLayer.

  3. Source\ANT-R Script Augmentations: Augmentation code for integrating LSL4EPrime with the original ANT-R study source code, enabling event marker streaming via LabStreamingLayer.

  4. Source\Data-Analysis: Scripts to process, analyze, and visualize the study data effectively.

  5. Results: In-depth results of our study.

❗ Important: Data Setup Instructions Before running the Data-Analysis code, please follow these steps to ensure proper setup:

Download Study Data: Access and download the study data from dataverse.nl at doi: 10.31234/osf.io/tfc9g.

Create a Data Folder: Inside the root directory of this project, create a subfolder named Data.

Copy the Downloaded Data: Place the downloaded study data into the Data subfolder.

This step is crucial for the correct functioning of the Data-Analysis code.

Usage Guidelines

Each component of our study is detailed within this repository. We encourage you to explore each section. The folders containREADME.md files with specific instructions and information about its contents. Please refer to these individual ReadMes for more detailed information.

Additionally, LICENSE.txt files are present in some folders. We strongly urge you to read these license files before utilizing, modifying, or distributing the respective contents.

Contributing

Your contributions are highly valued. If you have suggestions, bug reports, or contributions, feel free to open an issue or a pull request in this repository.

Contact

For further questions or potential collaborations, reach out to David Tekampe.

About

Source code and results for the ANT-VR project, featuring the implementation of the Attention Network Test - Revised (ANT-R) in a Virtual Reality environment (ANT-VR). It offers a comparative analysis of ANT-R and ANT-VR results.

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