Evidence map›Paper›PMID 40800993›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2025

Functional brain mapping using whole-head very high-density diffuse optical tomography.

Morgan Fogarty, Sean M Rafferty, Zachary E Markow, Anthony C O'Sullivan, Calamity F Svoboda, Tessa George, Kelsey King, Dana Wilhelm, Kalyan Tripathy, Emily M Mugler and 6 more

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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

16 authors.

Morgan FogartyImaging Science Doctoral Program, Washington University in St. Louis, St. Louis, MO, United States.ORCID https://orcid.org/0000-0003-1334-1923
Sean M RaffertyMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Zachary E MarkowMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Anthony C O'SullivanMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Calamity F SvobodaMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Tessa GeorgeMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Kelsey KingMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Dana WilhelmMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Kalyan TripathyWestern Psychiatric Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, United States.
Emily M MuglerMeta Reality Labs, Menlo Park, CA, United States.
Stephanie NaufelMeta Reality Labs, Menlo Park, CA, United States.
Allen YinMeta Reality Labs, Menlo Park, CA, United States.
Jason W TrobaughDepartment of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO, United States.
Adam T EggebrechtImaging Science Doctoral Program, Washington University in St. Louis, St. Louis, MO, United States.
Edward J RichterDepartment of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO, United States.
Joseph P CulverImaging Science Doctoral Program, Washington University in St. Louis, St. Louis, MO, United States.

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
Optical Tomography and Decoding for Communication via Brain-Computer InterfaceF31NS110261 · NINDS · WASHINGTON UNIVERSITY · PI MARKOW, ZACHARY E · 2019 to 2021
$75k
NIBIB NIH HHS R01 EB034919NIBIB NIH HHS T32 EB014855NIBIB NIH HHS U01 EB027005NIMH NIH HHS R01 MH122751NINDS NIH HHS F31 NS110261NINDS NIH HHS R01 NS090874
6 · The paper itself

Abstract

Naturalistic neuroimaging tasks, such as watching movies, are becoming increasingly popular due to being more engaging than resting-state paradigms and more ecologically valid than isolated block-design tasks. As these tasks push the boundaries of naturalistic paradigms, the need for an equally naturalistic imaging device increases. Optical imaging with functional near-infrared spectroscopy (fNIRS) offers a wearable, non-invasive neuroimaging approach. Advancements in high-density diffuse optical tomography (HD-DOT) use a dense array of optical elements to provide overlapping multi-distance fNIRS light measurements for fidelity comparable with functional magnetic resonance imaging (fMRI). Here, to further improve image quality, we increased the density of the imaging grid to 9.75 mm, first nearest neighbor spacing between sources and detectors, leading to a 4-fold increase in measurement density. This very high-density DOT (VHD-DOT) system uses 255 sources and 252 detectors to improve image quality while expanding the field of view. From simulations, the increased density led to improved image resolution across multiple metrics compared with HD-DOT. In vivo group-averaged functional localizer maps are in strong agreement with those collected in MRI on the same cohort of adult participants, indicating that VHD-DOT can be used as a surrogate for fMRI in task-based studies. For a naturalistic movie-viewing task, feature regressor analysis was employed to map audiovisual features from the clip, which also revealed excellent agreement between VHD-DOT and fMRI. Template-based decoding of task and movie-viewing data demonstrates that VHD-DOT signals are repeatable and discriminable, which is necessary for more advanced naturalistic task analyses. This work builds upon previously reported HD-DOT designs to improve the image quality and resolution for whole-head optical imaging. This system is promising for future studies using complex stimuli and analysis protocols, such as decoding, and future work developing wireless VHD-DOT systems.

Indexed as

brain mappingdiffuse optical tomographyfunctional near-infrared spectroscopynaturalistic stimulusneural decoding

Identifiers

PMID40800993
PMCPMC12320020

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.