Investigating the effect of channel pruning on functional near-infrared spectroscopy data collected from children aged 5 to 24 months
QT-NIRS offers a better balance of data quality and retention than CV pruning. Lower QT-NIRS thresholds than adult defaults are recommended for infant data. These findings provide practical guidance for preprocessing pipelines in developmental fNIRS research.
Authors
- Samantha McCann (ORCID: https://orcid.org/0000-0002-7445-4692)
- Chiara Bulgarelli (ORCID: https://orcid.org/0000-0002-6153-137X)
- Ebrima Mbye
- Anna Blasi Ribera
- Samuel Beaton (ORCID: https://orcid.org/0009-0002-4225-9400)
- Borja Blanco
- Clare E. Elwell
Institutions
- King's College London (GB)
- University of Cambridge (GB)
- MRC Unit the Gambia (GM)
- University College London (GB)
- Birkbeck, University of London (GB)
Publication Details
- Journal
- Neurophotonics
- Published
- 2026-02-14
- DOI
- https://doi.org/10.1117/1.nph.13.1.015011
- Primary Topic
- Optical Imaging and Spectroscopy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00