Evidence map›Paper›PMID 26096639›Full record

ArticleHuman brain mapping2015

Brain tissue compartment density estimated using diffusion-weighted MRI yields tissue parameters consistent with histology.

Farshid Sepehrband, Kristi A Clark, Jeremy F P Ullmann, Nyoman D Kurniawan, Gayeshika Leanage, David C Reutens, Zhengyi Yang

Open access · greenAbstract readValidation Study
In one paragraph

Article in Human brain mapping, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed
10.6field-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

90 citing papers in PubMed, 145 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Diffusion MRI of the Hippocampus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Review
  19. Article
  20. Article

30 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

7 authors at 3 institutions in 2 countries.

Farshid SepehrbandCentre for Advanced Imaging, The University of Queensland, Brisbane, Australia.
Kristi A ClarkInstitute for Neuroimaging and Informatics, University of Southern California, Los Angeles, California.
Jeremy F P UllmannCentre for Advanced Imaging, The University of Queensland, Brisbane, Australia.
Nyoman D KurniawanCentre for Advanced Imaging, The University of Queensland, Brisbane, Australia.
Gayeshika LeanageCentre for Advanced Imaging, The University of Queensland, Brisbane, Australia.
David C ReutensCentre for Advanced Imaging, The University of Queensland, Brisbane, Australia.
Zhengyi YangCentre for Advanced Imaging, The University of Queensland, Brisbane, Australia.
University of Queensland · AUARC Centre of Excellence in Advanced Molecular Imaging · AUUniversity of Southern California · US

Funding

TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2012 to 2022
$14.1M
Imaging biomarkers of ECT response in major depressive disorderR01MH092301 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ESPINOZA, RANDALL, NARR, KATHERINE L · 2011 to 2015
$4.0M
Genetic Influences on Human Neuroanatomical ShapesR01MH094343 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2012 to 2016
$2.4M
Changes in the reading network of dyslexia as measured by multimodal imagingR00HD065832 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CLARK, KRISTI A · 2013 to 2015
$734k
Changes in the reading network of dyslexia as measured by multimodal imagingK99HD065832 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CLARK, KRISTI A · 2011 to 2012
$176k
NIBIB NIH HHS P41 EB015922NIBIB NIH HHS P41-EB015922NICHD NIH HHS K99 HD065832NICHD NIH HHS K99/R00-HD065832NICHD NIH HHS R00 HD065832NIMH NIH HHS R01 MH092301NIMH NIH HHS R01MH092301NIMH NIH HHS R01 MH094343NIMH NIH HHS R01MH094343
6 · The paper itself

Abstract

We examined whether quantitative density measures of cerebral tissue consistent with histology can be obtained from diffusion magnetic resonance imaging (MRI). By incorporating prior knowledge of myelin and cell membrane densities, absolute tissue density values were estimated from relative intracellular and intraneurite density values obtained from diffusion MRI. The NODDI (neurite orientation distribution and density imaging) technique, which can be applied clinically, was used. Myelin density estimates were compared with the results of electron and light microscopy in ex vivo mouse brain and with published density estimates in a healthy human brain. In ex vivo mouse brain, estimated myelin densities in different subregions of the mouse corpus callosum were almost identical to values obtained from electron microscopy (diffusion MRI: 42 ± 6%, 36 ± 4%, and 43 ± 5%; electron microscopy: 41 ± 10%, 36 ± 8%, and 44 ± 12% in genu, body and splenium, respectively). In the human brain, good agreement was observed between estimated fiber density measurements and previously reported values based on electron microscopy. Estimated density values were unaffected by crossing fibers.

Indexed as

AdultAnimalsAnisotropyCorpus CallosumDiffusion Magnetic Resonance ImagingHumansMaleMiceMice, Inbred C57BLMicroscopy, ElectronModels, TheoreticalMyelin SheathWhite Matterdiffusion-weighted MRIDTIelectron microscopyNODDItissue compartment densityvalidation

Identifiers

PMID26096639
PMCPMC4545675
OpenAlexW1899759537

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.