Evidence map›Paper›PMID 36824784›Full record

ArticlebioRxiv : the preprint server for biology2023

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 readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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, United States.
Muwei LiVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Francois RheaultDepartment of Electrical Engineering and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Yurui GaoVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Leon CaiDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States.
Yu ZhaoVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Lyuan XuVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Zhaohua DingVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Adam W AndersonVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Bennett A LandmanVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
John C GoreVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.

Funding

VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRIR01EB017230 · NIBIB · VANDERBILT UNIVERSITY · PI LANDMAN, BENNETT A. · 2015 to 2024
$5.1M
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 EB017230
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 a task, challenging the idea of sparse and localized brain functions, and highlighting the pervasiveness of potential false negative fMRI findings. In these studies, 'whole-brain' refers to gray matter regions only, which is the only tissue traditionally studied with fMRI. However, recent reports have also demonstrated reliable detection and analyses of BOLD signals in white matter which have been largely ignored in previous reports. Here, using model-free analysis and simple tasks, we investigate BOLD signal changes in both white and gray matters. We aimed to evaluate whether white matter also displays time-locked BOLD signals across all structural pathways in response to a stimulus. 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 very 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 the whole brain, including both white and gray matter, show time-locked activation to multiple stimuli, not only challenging the idea of sparse functional localization, but also the prevailing wisdom of treating white matter BOLD signals as artefacts to be removed.

Indexed as

activationfMRIhemodynamic responsewhite matter

Identifiers

PMID36824784
PMCPMC9948951

What OpenQuestion holds

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LicenceCC BY
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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.