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Mapping brain function in adults and young children during naturalistic viewing with high‐density diffuse optical tomography.

Authors :
Tripathy, Kalyan
Fogarty, Morgan
Svoboda, Alexandra M.
Schroeder, Mariel L.
Rafferty, Sean M.
Richter, Edward J.
Tracy, Christopher
Mansfield, Patricia K.
Booth, Madison
Fishell, Andrew K.
Sherafati, Arefeh
Markow, Zachary E.
Wheelock, Muriah D.
Arbeláez, Ana María
Schlaggar, Bradley L.
Smyser, Christopher D.
Eggebrecht, Adam T.
Culver, Joseph P.
Source :
Human Brain Mapping; May2024, Vol. 45 Issue 7, p1-24, 24p
Publication Year :
2024

Abstract

Human studies of early brain development have been limited by extant neuroimaging methods. MRI scanners present logistical challenges for imaging young children, while alternative modalities like functional near‐infrared spectroscopy have traditionally been limited by image quality due to sparse sampling. In addition, conventional tasks for brain mapping elicit low task engagement, high head motion, and considerable participant attrition in pediatric populations. As a result, typical and atypical developmental trajectories of processes such as language acquisition remain understudied during sensitive periods over the first years of life. We evaluate high‐density diffuse optical tomography (HD‐DOT) imaging combined with movie stimuli for high resolution optical neuroimaging in awake children ranging from 1 to 7 years of age. We built an HD‐DOT system with design features geared towards enhancing both image quality and child comfort. Furthermore, we characterized a library of animated movie clips as a stimulus set for brain mapping and we optimized associated data analysis pipelines. Together, these tools could map cortical responses to movies and contained features such as speech in both adults and awake young children. This study lays the groundwork for future research to investigate response variability in larger pediatric samples and atypical trajectories of early brain development in clinical populations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10659471
Volume :
45
Issue :
7
Database :
Complementary Index
Journal :
Human Brain Mapping
Publication Type :
Academic Journal
Accession number :
177243535
Full Text :
https://doi.org/10.1002/hbm.26684