Scalp-based parcellation for longitudinal fNIRS studies

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, Adam T. Eggebrecht

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageEnglish
Title of host publicationDiffuse Optical Spectroscopy and Imaging IX
EditorsDavide Contini, Yoko Hoshi, Thomas D. O'Sullivan
ISBN (Electronic)9781510664654
StatePublished - 2023
EventDiffuse Optical Spectroscopy and Imaging IX 2023 - Munich, Germany
Duration: Jun 25 2023Jun 28 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceDiffuse Optical Spectroscopy and Imaging IX 2023


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