HRfunc: a tool for modeling hemodynamic response variability in fNIRS
These results support the use of the HRfunc tool for estimating event-based HRFs and neural activity in fNIRS studies. Through collective sharing of HRFs, an HRF database will be established to provide access to estimated HRFs across brain regions, subject ages, and experimental contexts.
Authors
- Nadine Melhem (ORCID: https://orcid.org/0000-0001-8572-8487)
- Koraly Pérez‐Edgar (ORCID: https://orcid.org/0000-0003-4051-9563)
- Luca Pollonini (ORCID: https://orcid.org/0000-0003-2955-6355)
- Megan Schumer
- Susan B. Perlman
- Bedilia Mata‐Centeno
- Denny Schaedig
Institutions
- Pennsylvania State University (US)
- University of Pittsburgh (US)
- Washington University in St. Louis (US)
- University of Houston (US)
Publication Details
- Journal
- Neurophotonics
- Published
- 2025-11-20
- DOI
- https://doi.org/10.1117/1.nph.13.s1.s17801
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00