The fNIRS 2026 Educational Workshop includes 22 planned minicourses across two days. Course IDs link to the detailed course pages.
Course Catalog
| ID | Title | Lead Proponent | Course duration |
|---|---|---|---|
| 01 | Auto-BIDSify: a fully-automatic toolbox converting fNIRS datasets to BIDS | Qianqian Fang | 2 hours |
| 02 | HyperNESS: Decomposing Inter- and Intra-Brain Neural Contributions in Dual-Brain Hyperscanning | Chuyang Sun | 1 hour |
| 03 | Diffuse Optical Mapping of Human Brain Function using NeuroDOT and OXI: A Hands-on course | Emma Speh | 3 hours |
| 04 | Simulation-Driven fNIRS using NIRFASTer: Modeling Hemodynamic Responses, Realistic Noise, and Diffuse Optical Tomography | Jiaming Cao | 3 hours |
| 05 | From Raw fNIRS Signals to BCI Decisions: Advanced Techniques with the Codeless NRG Toolbox | Noman Naseer | 2 hours |
| 06 | Practical Introduction to the Cortivision DOT-fNIRS Ecosystem | Dariusz Zapała, Cortivision | 3 hours |
| 07 | NIRS Brain AnalyzIR Toolbox | Hendrik Santosa | 3 hours |
| 08 | Cedalion – A Python-based toolbox for analysis of fNIRS and DOT in the everyday world with multimodal methods and machine learning | Alexander von Lühmann | 3 hours |
| 09 | Building and Interpreting Broadband NIRS: A Practical Workshop on Physiology, Hardware, and Biomarker Extraction | Luca Giannoni | 3 hours |
| 10 | Standardized fNIRS Cap and 3D Probe Design Using Blender and NeuroCaptain v2 | Ashlyn McCann | 2 hours |
| 11 | High-Density fNIRS in Practice: From Montage Design to Multimodal Applications | Giovanni Hering, NIRx | 3 hours |
| 12 | Functional Connectivity Analysis with fNIRS: Theory to Practice | Rickson C. Mesquita | 3 hours |
| 13 | Advanced Topics in Functional Connectivity with fNIRS: from Isolated to Integrated approaches | Rickson C. Mesquita | 2 hours |
| 14 | Combining EEG and fNIRS | Yixin Duan, Yingchi | 3 hours |
| 15 | The Brain-Body Platform: Native Multi-Modal Integration – Synchronizing EEG,* fNIRS, and Full-Body Physio with AcqKnowledge software. | Marion VINCENT, Seenel Imaging | 2 hours |
| 16 | The Cornerstone of Time-domain fNIRS and Diffuse Optical Tomography: Simulations and Phantom Validations | Wuwei Ren | 1 hour |
| 17 | Bridging East and West: Incorporating Chinese Perspectives into a Global Data Governance Framework for Brain Data | Aleksandra Landowska | 3 hours |
| 18 | NIRSTORM: a Brainstorm plugin dedicated to fNIRS statistical analysis, 3D reconstructions and optimal probe design | Christophe Grova and Edouard Delaire | 3 hours |
| 19 | Quantifying Neurovascular Coupling: A Multimodal fNIRS-fMRI Workshop (Theory, Data, and Challenges) | Antonio Maria Chiarelli | 2 hours |
| 20 | qNIRS: quantitative, multi-frequency near-infrared spectroscopy | Stanislaw Wojtkiewicz, BrainOptics | 1 hour |
| 21 | Non-invasive measurement of tissue perfusion using diffuse correlation spectroscopy and related techniques | Stefan Carp | 2 hours |
| 22 | An Explainable Artificial Intelligence (XAI) Approach for fNIRS Data Analytics: Methods, Toolbox, and Statistical Evaluation | Javier Andreu-Perez | 1 hour |
Schedule
The schedule below follows the timetable provided in the workshop document. Classroom locations are not yet available and are marked as TBC.
The Friday afternoon session begins at 13:00, leaving a 45-minute lunch break and 30 minutes to walk to the main event site.
Thursday, 15 October 2026
| Time | Classroom 1 (TBC) | Classroom 2 (TBC) | Classroom 3 (TBC) | Classroom 4 (TBC) |
|---|---|---|---|---|
| 7:30 – 8:00 | Registration | Registration | Registration | Registration |
| 8:00 – 10:00 | Prof. Ippeita Dan, Introduction to fNIRS lecture | Prof. Ippeita Dan, Introduction to fNIRS lecture | Prof. Ippeita Dan, Introduction to fNIRS lecture | Prof. Ippeita Dan, Introduction to fNIRS lecture |
| 10:15 – 12:15 | 15. Seenel Imaging, The Brain-Body Platform: Native Multi-Modal Integration – Synchronizing EEG,* fNIRS, and Full-Body Physio with AcqKnowledge software | 05. Naseer et al., From Raw fNIRS Signals to BCI Decisions: Advanced Techniques with the Codeless NRG Toolbox | 01. Fang et al., Auto-BIDSify: a fully-automatic toolbox converting fNIRS datasets to BIDS | |
| 12:15 – 13:00 | LUNCH BREAK | LUNCH BREAK | LUNCH BREAK | LUNCH BREAK |
| 13:00 – 16:00 | 11. NIRx, High-Density fNIRS in Practice: From Montage Design to Multimodal Applications | 07. Santosa et al., NIRS Brain AnalyzIR Toolbox | 17. Landowska et al., Bridging East and West: Incorporating Chinese Perspectives into a Global Data Governance Framework for Brain Data | |
| 16:15 – 19:15 | 04. Cao&Dehghani, Simulation-Driven fNIRS using NIRFASTer: Modeling Hemodynamic Responses, Realistic Noise, and Diffuse Optical Tomography | 10. McCann et al., Standardized fNIRS Cap and 3D Probe Design Using Blender and NeuroCaptain v2 (2hr) | 19. Chiarelli et al., Quantifying Neurovascular Coupling: A Multimodal fNIRS-fMRI Workshop (Theory, Data, and Challenges) (2hr) | 12. Mesquita&Abdalmalak, Functional Connectivity Analysis with fNIRS: Theory to Practice |
Friday, 16 October 2026
| Time | Classroom 1 (TBC) | Classroom 2 (TBC) | Classroom 3 (TBC) | Classroom 4 (TBC) |
|---|---|---|---|---|
| 8:00 – 11:00 | 06. Cortivision, Practical Introduction to the Cortivision DOT-fNIRS Ecosystem | 13. Mesquita&Abdalmalak, Advanced Topics in Functional Connectivity with fNIRS: from Isolated to Integrated approaches (9:00–11:00, 2 hours) | 18. Grova & Delaire, NIRSTORM: a Brainstorm plugin dedicated to fNIRS statistical analysis, 3D reconstructions and optimal probe design | 14. Yingchi Tech, Combining EEG and fNIRS |
| 11:15 – 12:15 | 20. BrainOptics, qNIRS: quantitative, multi-frequency near-infrared spectroscopy | 16. Ren, The Cornerstone of Time-domain fNIRS and Diffuse Optical Tomography: Simulations and Phantom Validations | 02. Sun, HyperNESS: Decomposing Inter- and Intra-Brain Neural Contributions in Dual-Brain Hyperscanning | 22. Javier Andreu-Perez, An Explainable Artificial Intelligence (XAI) Approach for fNIRS Data Analytics: Methods, Toolbox, and Statistical Evaluation |
| 12:15 – 13:00 | LUNCH BREAK | LUNCH BREAK | LUNCH BREAK | LUNCH BREAK |
| 13:00 – 16:00 | 08. Von Lühmann et al., Cedalion – A Python-based toolbox for analysis of fNIRS and DOT in the everyday world with multimodal methods and machine learning | 03. Speh et al., Diffuse Optical Mapping of Human Brain Function using NeuroDOT and OXI: A Hands-on course | 21. Carp et al., Non-invasive measurement of tissue perfusion using diffuse correlation spectroscopy and related techniques (2hr) | 09. Giannoni et al., Building and Interpreting Broadband NIRS: A Practical Workshop on Physiology, Hardware, and Biomarker Extraction |
Notes
Some courses may require participants to bring a laptop or install software in advance. Please check each course page for prerequisites and preparation notes.