Evidence map›Paper›PMID 42329877›Full record

ArticlePloS one2026

Disentangling crossing fibers with advanced dMRI methods reveals bundle-specific degeneration across the visual system in asymmetric glaucoma.

Daniela Coutiño, Judith Guerrero-Zavala, César Arturo Domínguez-Frausto, Marlene García-Guillén, Ricardo Coronado-Leija, Alonso Ramírez-Manzanares, Erick Hernández-Gutiérrez, Maxime Descoteaux, Martin Ayala, Mariana Badillo and 1 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Daniela CoutiñoInstituto de Neurobiologia, Universidad Nacional Autonoma de Mexico. Blvd. Juriquilla, Queretaro, Queretaro, Mexico.
Judith Guerrero-ZavalaInstituto de Neurobiologia, Universidad Nacional Autonoma de Mexico. Blvd. Juriquilla, Queretaro, Queretaro, Mexico.
César Arturo Domínguez-FraustoInstituto de Neurobiologia, Universidad Nacional Autonoma de Mexico. Blvd. Juriquilla, Queretaro, Queretaro, Mexico.
Marlene García-GuillénInstituto de Neurobiologia, Universidad Nacional Autonoma de Mexico. Blvd. Juriquilla, Queretaro, Queretaro, Mexico.
Ricardo Coronado-LeijaBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York, United States of America.
Alonso Ramírez-ManzanaresCentro de Investigación en Matemáticas A.C., Guanajuato, México.ORCID https://orcid.org/0000-0001-6645-9162
Erick Hernández-GutiérrezSherbrooke Connectivity Imaging Lab (SCIL), Computer Science, Université de Sherbrooke, Sherbrooke, Quebec, Canada.
Maxime DescoteauxSherbrooke Connectivity Imaging Lab (SCIL), Computer Science, Université de Sherbrooke, Sherbrooke, Quebec, Canada.ORCID https://orcid.org/0000-0002-8191-2129
Martin AyalaInstituto Mexicano de Oftalmologia IAP, Querétaro, Mexico.
Mariana BadilloInstituto Mexicano de Oftalmologia IAP, Querétaro, Mexico.
Luis ConchaInstituto de Neurobiologia, Universidad Nacional Autonoma de Mexico. Blvd. Juriquilla, Queretaro, Queretaro, Mexico.ORCID https://orcid.org/0000-0002-7842-3869

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffusion magnetic resonance imaging (dMRI) is a non-invasive neuroimaging technique that enables in vivo assessment of white matter microstructure and is highly sensitive to tissue alterations associated with disease. Although substantial evidence links diffusion-derived metrics to underlying white matter tissue properties, the presence of complex within-voxel axonal configurations complicates their biological interpretation. Several methods have been proposed to assess diffusion properties of individual crossing axonal populations, but their validation and clinical applicability remain limited. Glaucoma, the second leading cause of blindness worldwide, is characterized by progressive loss of retinal ganglion cells and axonal damage in the optic nerve, leading to degeneration along the entire visual pathway. This degeneration includes secondary effects on fiber crossings within the optic chiasm, which are challenging to characterize with conventional diffusion methods. Here, we evaluated whether advanced diffusion metrics can detect microstructural alterations in these complex white matter configurations and whether these measures correlate with clinical markers of glaucoma severity. In this study, we evaluated 31 patients with asymmetric glaucoma and 31 healthy controls using advanced diffusion magnetic resonance imaging methods, including Diffusion Tensor Imaging, Constrained Spherical Deconvolution, multi-tensor fit via Multi-Resolution Discrete Search method, and Fixel-Based Analysis. We found significant differences of diffusion metrics in white matter tracts of the visual system, including the optic nerve, optic chiasm, optic tracts, and optic radiations. Moreover, diffusion metrics correlated with clinical ophthalmological parameters such as cup-to-disc ratio, visual field mean deviation, and retinal nerve fiber layer thickness. These findings support the use of advanced diffusion magnetic resonance imaging models as sensitive tools for detecting Wallerian degeneration and resolving complex white matter architecture in the human visual pathway, and demonstrate their utility to study other fiber-crossing regions throughout the brain.

Indexed as

Diffusion Magnetic Resonance ImagingGlaucomaVisual PathwaysAgedAxonsDiffusion Tensor ImagingFemaleHumansMaleMiddle AgedOptic NerveRetinal Ganglion CellsWhite Matter

Identifiers

PMID42329877
PMCPMC13286229

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.