Evidence map›Paper›PMID 37824529›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Whole-brain, gray, and white matter time-locked functional signal changes with simple tasks and model-free analysis.

Kurt G Schilling, Muwei Li, Francois Rheault, Yurui Gao, Leon Cai, Yu Zhao, Lyuan Xu, Zhaohua Ding, Adam W Anderson, Bennett A Landman and 1 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Electrophysiological features of signals recorded from white matter.bioRxiv : the preprint server for biology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Kurt G SchillingVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232.ORCID 0000-0003-3686-7645
Muwei LiVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232.ORCID 0000-0003-3596-9287
Francois RheaultDepartment of Electrical Engineering and Computer Engineering, Vanderbilt University, Nashville, TN 37235.
Yurui GaoVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232.ORCID 0000-0002-4339-5351
Leon CaiDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235.
Yu ZhaoVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232.
Lyuan XuVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232.ORCID 0000-0002-9791-0806
Zhaohua DingVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232.ORCID 0000-0002-1805-2955
Adam W AndersonVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232.
Bennett A LandmanVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232.ORCID 0000-0001-5733-2127
John C GoreVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232.ORCID 0000-0002-9480-0900

Funding

VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jeffrey L Neul · 2020 to 2026
$10.3M
Biophysical Basis of Functional Connectivity by MRIR01NS078680 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Li Min Chen, John C Gore · 2012 to 2026
$7.6M
Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRIR01EB017230 · NIBIB · VANDERBILT UNIVERSITY · PI LANDMAN, BENNETT A. · 2015 to 2024
$5.1M
Resting State Connectivity in White MatterR01NS093669 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2016 to 2020
$2.7M
Biophysical basis of functional MRI of white matterR01NS113832 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2020 to 2024
$2.4M
Microstructure and connectivity modeling from the cortex to the spinal cord in Multiple SclerosisK01EB032898 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SCHILLING, KURT G · 2022 to 2025
$630k
NCRR NIH HHS UL1 RR024975NIBIB NIH HHS K01 EB032898NIBIB NIH HHS R01 EB017230NICHD NIH HHS P50 HD103537NINDS NIH HHS R01 NS078680NINDS NIH HHS R01 NS093669NINDS NIH HHS R01 NS113832
6 · The paper itself

Abstract

Recent studies have revealed the production of time-locked blood oxygenation level-dependent (BOLD) functional MRI (fMRI) signals throughout the entire brain in response to tasks, challenging the existence of sparse and localized brain functions and highlighting the pervasiveness of potential false negative fMRI findings. "Whole-brain" actually refers to gray matter, the only tissue traditionally studied with fMRI. However, several reports have demonstrated reliable detection of BOLD signals in white matter, which have previously been largely ignored. Using simple tasks and analyses, we demonstrate BOLD signal changes across the whole brain, in both white and gray matters, in similar manner to previous reports of whole brain studies. We investigated whether white matter displays time-locked BOLD signals across multiple structural pathways in response to a stimulus in a similar manner to the cortex. We find that both white and gray matter show time-locked activations across the whole brain, with a majority of both tissue types showing statistically significant signal changes for all task stimuli investigated. We observed a wide range of signal responses to tasks, with different regions showing different BOLD signal changes to the same task. Moreover, we find that each region may display different BOLD responses to different stimuli. Overall, we present compelling evidence that, just like all gray matter, essentially all white matter in the brain shows time-locked BOLD signal changes in response to multiple stimuli, challenging the idea of sparse functional localization and the prevailing wisdom of treating white matter BOLD signals as artifacts to be removed.

Indexed as

White MatterBrainBrain MappingGray MatterMagnetic Resonance ImagingactivationfMRIhemodynamic responsewhite matter

Identifiers

PMID37824529
PMCPMC10589709

What OpenQuestion holds

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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.