Evidence map›Paper›PMID 38703090›Full record

ArticleHuman brain mapping2024

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

Kalyan Tripathy, Morgan Fogarty, Alexandra M Svoboda, Mariel L Schroeder, Sean M Rafferty, Edward J Richter, Christopher Tracy, Patricia K Mansfield, Madison Booth, Andrew K Fishell and 8 more

Abstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Kalyan TripathyDivision of Biological and Biomedical Sciences, Washington University in St. Louis, St. Louis, Missouri, USA.
Morgan FogartyMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0003-1334-1923
Alexandra M SvobodaMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Mariel L SchroederMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Sean M RaffertyMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Edward J RichterDepartment of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, Missouri, USA.
Christopher TracyMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Patricia K MansfieldMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Madison BoothMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Andrew K FishellMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Arefeh SherafatiMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Zachary E MarkowMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Muriah D WheelockMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Ana María ArbeláezDepartment of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA.
Bradley L SchlaggarKennedy Krieger Institute, Baltimore, Maryland, USA.
Christopher D SmyserMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Adam T EggebrechtDivision of Biological and Biomedical Sciences, Washington University in St. Louis, St. Louis, Missouri, USA.
Joseph P CulverMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.

Funding

High-Sensitivity DOT for Mapping Human Brain FunctionR01NS090874 · NINDS · WASHINGTON UNIVERSITY · PI CULVER, JOSEPH P · 2014 to 2025
$5.5M
21ST CENTURY IMAGING SCIENCES: GRADUATE STUDENT TRAININGT32EB014855 · NIBIB · WASHINGTON UNIVERSITY · PI JOSEPH P CULVER, JOSEPH A O'SULLIVAN · 2012 to 2026
$3.1M
Wireless High-Density Diffuse Optical Tomography for Decoding Brain ActivityU01EB027005 · NIBIB · WASHINGTON UNIVERSITY · PI CULVER, JOSEPH P · 2018 to 2021
$2.7M
Illuminating development of infant and toddler brainfunction with DOTR01MH122751 · NIMH · WASHINGTON UNIVERSITY · PI EGGEBRECHT, ADAM THOMAS · 2020 to 2024
$2.7M
Naturalistic Brain Mapping in Children with Diffuse Optical TomographyR01EB034919 · NIBIB · WASHINGTON UNIVERSITY · PI JOSEPH P CULVER · 2023 to 2026
$2.2M
NIBIB NIH HHS R01 EB034919NIBIB NIH HHS U01 EB027005NIH HHS R01MH122751NIH HHS R01NS090874NIH HHS U01EB027005NIMH NIH HHS R01 MH122751NINDS NIH HHS R01 NS090874
6 · The paper itself

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.

Indexed as

BrainBrain MappingTomography, OpticalAdultChildChild, PreschoolFemaleHumansInfantMaleMotion PicturesYoung Adultbrain developmentfeature regressor analysisfunctional near‐infrared spectroscopymovie viewingoptical neuroimaging

Identifiers

PMID38703090
PMCPMC11069306

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.