Evidence map›Paper›PMID 31410939›Full record

ArticleHuman brain mapping2019

On the sensitivity of the diffusion MRI signal to brain activity in response to a motor cortex paradigm.

Alberto De Luca, Lara Schlaffke, Jeroen C W Siero, Martijn Froeling, Alexander Leemans

Open access · hybridAbstract read
In one paragraph

Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Continuous Diffusion-Detected Neuroplasticity during Motor Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Whole-brain, gray, and white matter time-locked functional signal changes with simple tasks and model-free analysis.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. 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

5 authors at 2 institutions in 2 countries.

Alberto De LucaImage Sciences Institute, UMC Utrecht, Utrecht, The Netherlands.ORCID 0000-0002-2553-7299
Lara SchlaffkeDepartment of Neurology, BG-University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany.ORCID 0000-0002-0716-3780
Jeroen C W SieroDepartment of Radiology, UMC Utrecht, Utrecht, The Netherlands.ORCID 0000-0001-5079-2868
Martijn FroelingDepartment of Radiology, UMC Utrecht, Utrecht, The Netherlands.
Alexander LeemansImage Sciences Institute, UMC Utrecht, Utrecht, The Netherlands.
Utrecht University · NLBG University Hospital Bergmannsheil Bochum · DE

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek VIDI Grant 639.072.411
6 · The paper itself

Abstract

Diffusion functional magnetic resonance imaging (dfMRI) is a promising technique to map functional activations by acquiring diffusion-weighed spin-echo images. In previous studies, dfMRI showed higher spatial accuracy at activation mapping compared to classic functional MRI approaches. However, it remains unclear whether dfMRI measures result from changes in the intracellular/extracellular environment, perfusion, and/or T

Indexed as

AdultBrainBrain MappingDiffusion Magnetic Resonance ImagingFemaleFunctional NeuroimagingHumansImage Processing, Computer-AssistedMaleMotor CortexSensitivity and SpecificityYoung Adultactivation mappingBOLDdiffusion MRIfree waterfunctional MRIIVIM

Identifiers

PMID31410939
PMCPMC6865683
OpenAlexW2969057690

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.