Evidence map›Paper›PMID 31376477›Full record

ReviewMagnetic resonance imaging2019

Functional MRI and resting state connectivity in white matter - a mini-review.

John C Gore, Muwei Li, Yurui Gao, Tung-Lin Wu, Kurt G Schilling, Yali Huang, Arabinda Mishra, Allen T Newton, Baxter P Rogers, Li Min Chen and 2 more

Open access · greenAbstract readReview
In one paragraph

Review in Magnetic resonance imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed
11.6field-weighted citation impact, top 1% of its field
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

111 citing papers in PubMed, 180 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. White-Matter BOLD Encoding Beyond Marginal Connectivity.bioRxiv : the preprint server for biology · 2026
    Article
  6. Superficial white matter and gray matter jointly support cognition among older adults in India.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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  10. Review
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  12. Network Localization of Fatigue in Multiple Sclerosis.Annals of clinical and translational neurology · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

51 more citing papers are in PubMed but not listed here.

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

12 authors at 2 institutions in 1 country.

John C GoreVanderbilt University Institute of Imaging Science, United States of America; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, United States of America; Department of Biomedical Engineering, Vanderbilt University, United States of America; Department of Molecular Physiology and Biophysics, Vanderbilt University, United States of America; Department of Physics and Astronomy, Vanderbilt University, United States of America. Electronic address: john.gore@vanderbilt.edu.
Muwei LiVanderbilt University Institute of Imaging Science, United States of America; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, United States of America.
Yurui GaoVanderbilt University Institute of Imaging Science, United States of America; Department of Biomedical Engineering, Vanderbilt University, United States of America.
Tung-Lin WuVanderbilt University Institute of Imaging Science, United States of America; Department of Biomedical Engineering, Vanderbilt University, United States of America.
Kurt G SchillingVanderbilt University Institute of Imaging Science, United States of America; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, United States of America.
Yali HuangVanderbilt University Institute of Imaging Science, United States of America.
Arabinda MishraVanderbilt University Institute of Imaging Science, United States of America.
Allen T NewtonVanderbilt University Institute of Imaging Science, United States of America; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, United States of America.
Baxter P RogersVanderbilt University Institute of Imaging Science, United States of America; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, United States of America.
Li Min ChenVanderbilt University Institute of Imaging Science, United States of America; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, United States of America.
Adam W AndersonVanderbilt University Institute of Imaging Science, United States of America; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, United States of America; Department of Biomedical Engineering, Vanderbilt University, United States of America.
Zhaohua DingVanderbilt University Institute of Imaging Science, United States of America; Department of Electrical Engineering and Computer Science, Vanderbilt University, United States of America.
Vanderbilt University · USVanderbilt University Medical Center · US

Funding

Biophysical Basis of Functional Connectivity by MRIR01NS078680 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Li Min Chen, John C Gore · 2012 to 2026
$7.6M
Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
Postdoctoral Training in Biomedical MRI and MRST32EB001628 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI John C Gore · 2003 to 2026
$7.0M
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
Replacement and Upgrade of a 3T MR Scanner for ResearchS10OD021771 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2016 to 2016
$2.0M
NIBIB NIH HHS T32 EB001628NICHD NIH HHS U54 HD083211NIH HHS S10 OD021771NINDS NIH HHS R01 NS078680NINDS NIH HHS R01 NS093669NINDS NIH HHS R01 NS113832
6 · The paper itself

Abstract

Functional MRI (fMRI) signals are robustly detectable in white matter (WM) but they have been largely ignored in the fMRI literature. Their nature, interpretation, and relevance as potential indicators of brain function remain under explored and even controversial. Blood oxygenation level dependent (BOLD) contrast has for over 25 years been exploited for detecting localized neural activity in the cortex using fMRI. While BOLD signals have been reliably detected in grey matter (GM) in a very large number of studies, such signals have rarely been reported from WM. However, it is clear from our own and other studies that although BOLD effects are weaker in WM, using appropriate detection and analysis methods they are robustly detectable both in response to stimuli and in a resting state. BOLD fluctuations in a resting state exhibit similar temporal and spectral profiles in both GM and WM, and their relative low frequency (0.01-0.1 Hz) signal powers are comparable. They also vary with baseline neural activity e.g. as induced by different levels of anesthesia, and alter in response to a stimulus. In previous work we reported that BOLD signals in WM in a resting state exhibit anisotropic temporal correlations with neighboring voxels. On the basis of these findings, we derived functional correlation tensors that quantify the correlational anisotropy in WM BOLD signals. We found that, along many WM tracts, the directional preferences of these functional correlation tensors in a resting state are grossly consistent with those revealed by diffusion tensors, and that external stimuli tend to enhance visualization of specific and relevant fiber pathways. These findings support the proposition that variations in WM BOLD signals represent tract-specific responses to neural activity. We have more recently shown that sensory stimulations induce explicit BOLD responses along parts of the projection fiber pathways, and that task-related BOLD changes in WM occur synchronously with the temporal pattern of stimuli. WM tracts also show a transient signal response following short stimuli analogous to but different from the hemodynamic response function (HRF) characteristic of GM. Thus there is converging and compelling evidence that WM exhibits both resting state fluctuations and stimulus-evoked BOLD signals very similar (albeit weaker) to those in GM. A number of studies from other laboratories have also reported reliable observations of WM activations. Detection of BOLD signals in WM has been enhanced by using specialized tasks or modified data analysis methods. In this mini-review we report summaries of some of our recent studies that provide evidence that BOLD signals in WM are related to brain functional activity and deserve greater attention by the neuroimaging community.

Indexed as

Magnetic Resonance ImagingAnisotropyBrain MappingCerebrovascular CirculationGray MatterHemodynamicsHumansModels, NeurologicalReproducibility of ResultsVasodilationWhite Matter

Identifiers

PMID31376477
PMCPMC6861686
OpenAlexW2966841399

What OpenQuestion holds

Textmetadata
LicenceTDM
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.