Supplementary Material for the ADHD2025 Poster

Last updated: May 8, 2025

Supplementary data and methodology for the poster presented at the 10th World Congress on ADHD – Prague, May 2025.

🔍 Contents

• Overview and Poster
• Supplementary Files
• Technical Appendix
• Authorship Note
• Reproducibility Notes
• Contact
• Archiving & Citation

📌 Overview and Poster

• 🖼 Download Poster (PDF)
• 📊 Table 2: Data Processing Scheme (PDF)

📁 Supplementary Files

1. 📄 Poster Source Document: Full Scientific Draft (PDF)
2. 📄 P300Study Overview (PDF)
3. 📄 vERP Non-Responder Examples (PDF)
4. 📄 High-Level Methodology Summary (PDF) (Pending – available post-presentation)
5. 📄 Detailed Data Processing Pipeline (PDF) (Pending – available post-presentation)
6. 📄 Technical Implementation Details (PDF) (Pending – available post-presentation)
7. 📄 Normative Data Reference (PDF) (Pending – available post-presentation)
8. 📄 Phase 1 Recruitment Timeline (PDF)
9. 📄 Python 3.11 Environment & Libraries (PDF)
10. 📄 Ongoing Phase 2 Description (PDF) (Pending – available post-presentation)
11. 📄 Executive Summary (PDF)
12. 📄 Info for Patients - vERP P300Study Phase 1 (PDF)
13. 📄 Info for Patients - vERP P300Study Phase 2 (PDF)
14. 📄 Cited References and Supplementary Recommended Literature (PDF)

🔒 Some supplementary files are currently pending and will be made available after the official presentation.
Estimated release date: May 21, 2025.

⚙️ Technical Appendix

All documents were generated in a secure, anonymized environment using MNE-Python and standard open-source tools. See files above for full environment details.

🧾 Authorship Note

The poster was primarily authored and presented by Dr. Patricio Ruedi Arretx, with contributions from Dr. Francisca Coloma, Dr. Andrea Contreras Steffens, and Dr. Pedro Moya Santibáñez.

This supplementary repository was curated and documented by Dr. Pedro Moya Santibáñez, who led the analytical framework, EEG data processing pipeline, and methodological documentation supporting the study.

⚙️ Reproducibility Notes

All EEG analyses were conducted using MNE-Python within a controlled Python 3.11 environment. Preprocessing steps followed EEG-BIDS compatibility standards and reproducibility principles. Selected source code and full pipelines will be released in a subsequent phase of the study.

📬 Contact

For questions, please contact us at: [email protected]