Evidence map›Paper›PMID 31026624›Full record

ArticleNeuroImage. Clinical2019

Diffusivity and quantitative T1 profile of human visual white matter tracts after retinal ganglion cell damage.

Hiromasa Takemura, Shumpei Ogawa, Aviv A Mezer, Hiroshi Horiguchi, Atsushi Miyazaki, Kenji Matsumoto, Keigo Shikishima, Tadashi Nakano, Yoichiro Masuda

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Tractometry of Human Visual White Matter Pathways in Health and Disease.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Review
  6. Structural Covariance and Heritability of the Optic Tract and Primary Visual Cortex in Living Human Brains.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Frontiers in neurology · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

9 authors at 4 institutions in 2 countries.

Hiromasa TakemuraCenter for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, and Osaka University, Suita, Japan; Graduate School of Frontier Biosciences, Osaka University, Suita, Japan. Electronic address: htakemur@nict.go.jp.
Shumpei OgawaDepartment of Ophthalmology, The Jikei University School of Medicine, Tokyo, Japan; Department of Ophthalmology, Atsugi city hospital, Atsugi, Japan. Electronic address: shumpei0722@jikei.ac.jp.
Aviv A MezerThe Edmond and Lily Safra Center for Brain Science, The Hebrew University of Jerusalem, Israel.
Hiroshi HoriguchiDepartment of Ophthalmology, The Jikei University School of Medicine, Tokyo, Japan.
Atsushi MiyazakiBrain Science Institute, Tamagawa University, Machida, Japan.
Kenji MatsumotoBrain Science Institute, Tamagawa University, Machida, Japan.
Keigo ShikishimaDepartment of Ophthalmology, The Jikei University School of Medicine, Tokyo, Japan.
Tadashi NakanoDepartment of Ophthalmology, The Jikei University School of Medicine, Tokyo, Japan.
Yoichiro MasudaDepartment of Ophthalmology, The Jikei University School of Medicine, Tokyo, Japan.
Jikei University School of Medicine · JPTamagawa University · JPHebrew University of Jerusalem · ILNational Institute of Information and Communications Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In patients with retinal ganglion cell diseases, recent diffusion tensor imaging (DTI) studies have revealed structural abnormalities in visual white matter tracts such as the optic tract, and optic radiation. However, the microstructural origin of these diffusivity changes is unknown as DTI metrics involve multiple biological factors and do not correlate directly with specific microstructural properties. In contrast, recent quantitative T1 (qT1) mapping methods provide tissue property measurements relatively specific to myelin volume fractions in white matter. This study aims to improve our understanding of microstructural changes in visual white matter tracts following retinal ganglion cell damage in Leber's hereditary optic neuropathy (LHON) patients by combining DTI and qT1 measurements. We collected these measurements from seven LHON patients and twenty age-matched control subjects. For all individuals, we identified the optic tract and the optic radiation using probabilistic tractography, and evaluated diffusivity and qT1 profiles along them. Both diffusivity and qT1 measurements in the optic tract differed significantly between LHON patients and controls. In the optic radiation, these changes were observed in diffusivity but were not evident in qT1 measurements. This suggests that myelin loss may not explain trans-synaptic diffusivity changes in the optic radiation as a consequence of retinal ganglion cell disease.

Indexed as

AdultDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingHumansMaleOptic Atrophy, Hereditary, LeberRetinal Ganglion CellsVisual PathwaysWhite MatterYoung AdultLeber's hereditary optic neuropathyMRIMyelinOptic radiationOptic tractWhite matter

Identifiers

PMID31026624
PMCPMC6482365
OpenAlexW2936241314

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.