Paper
9 August 2023 Scalp-based parcellation for longitudinal fNIRS studies
Author Affiliations +
Abstract
Functional near infrared spectroscopy (fNIRS) delivers a flexible, portable, and wearable technique for monitoring brain function in situations where fMRI is not feasible, not suitable, or inaccessible. However, variations in optode locations and head shapes and sizes throughout development lead to considerable challenges in group-based and longitudinal studies that generally use either channel-focused analyses or image reconstruction techniques that require strong participant-atlas correspondence. We present a scalp-based parcellation technique that compensates for variation in optode array placement and general head morphology and accounts for fNIRS spatial sampling with minimal assumptions about the underlying head and brain structure to support robust statistical analyses.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Abigail L. Magee, Laura Pirazzoli, Sara Sanchez-Alonso, Eileen F. Sullivan, Katherine L. Perdue, Benjamin Zinszer, Vikranth R. Bejjanki, John E. Richards, Joseph P. Culver, Richard N. Aslin, Lauren L. Emberson, and Adam T. Eggebrecht "Scalp-based parcellation for longitudinal fNIRS studies", Proc. SPIE 12628, Diffuse Optical Spectroscopy and Imaging IX, 126280K (9 August 2023); https://doi.org/10.1117/12.2670765
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KEYWORDS
Brain

Head

Simulations

Performance modeling

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