Evidence map›Paper›PMID 40091123›Full record

ArticleCommunications biology2025

Apparent Diffusion Coefficient fMRI shines light on white matter resting-state connectivity compared to BOLD.

Inès de Riedmatten, Arthur P C Spencer, Wiktor Olszowy, Ileana O Jelescu

Abstract readComparative Study
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

4 authors.

Inès de RiedmattenDepartment of Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland. ines.de-riedmatten@chuv.ch.ORCID http://orcid.org/0000-0003-0383-4046
Arthur P C SpencerDepartment of Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-7869-6261
Wiktor OlszowyEcole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Ileana O JelescuDepartment of Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-3664-0195

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) Spark award CRSK-2_190882
6 · The paper itself

Abstract

Resting-state functional magnetic resonance imaging (fMRI) is used to derive functional connectivity (FC) between brain regions. Typically, blood oxygen level-dependent (BOLD) contrast is used. However, BOLD's reliance on neurovascular coupling poses challenges in reflecting brain activity accurately, leading to reduced sensitivity in white matter (WM). WM BOLD signals have long been considered physiological noise, although recent evidence shows that both stimulus-evoked and resting-state WM BOLD signals resemble those in gray matter (GM), albeit smaller in amplitude. We introduce apparent diffusion coefficient fMRI (ADC-fMRI) as a promising functional contrast for GM and WM FC, capturing activity-driven neuromorphological fluctuations. Our study compares BOLD-fMRI and ADC-fMRI FC in GM and WM, showing that ADC-fMRI mirrors BOLD-fMRI connectivity in GM, while capturing more robust FC in WM. ADC-fMRI displays higher average clustering and average node strength in WM, and higher inter-subject similarity, compared to BOLD. Taken together, this suggests that ADC-fMRI is a reliable tool for exploring FC that incorporates gray and white matter nodes in a novel way.

Indexed as

BrainBrain MappingDiffusion Magnetic Resonance ImagingMagnetic Resonance ImagingOxygenWhite MatterAdultFemaleGray MatterHumansMaleRestYoung AdultOxygen

Identifiers

PMID40091123
PMCPMC11911413

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.