A mathematical description of nerve fiber bundle trajectories and their variability in the human retina
Open accessAbstract
We developed a mathematical model wherein retinal nerve fiber trajectories can be described and the corresponding inter-subject variability analyzed. The model was based on traced nerve fiber bundle trajectories extracted from 55 fundus photographs of 55 human subjects. The model resembled the typical retinal nerve fiber layer course within 20 degrees eccentricity. Depending on the location of the visual field test point, the standard deviation of the calculated corresponding angular location at the optic nerve head circumference ranged from less than 1 degrees to 18 degrees , with an average of 8.8 degrees .
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Based on axon mapping of the retina, the axon map model was proposed to simulate more realistic phosphene maps resulting from retinal stimulation.
“Based on axon mapping of the retina,102 the axon map model was also proposed to simulate more realistic phosphene maps resulting from retinal stimulation.”
From Visual Prostheses in the Era of Artificial Intelligence Technology (2025) · cites this paper as [102]
Stimulation protocols (current amplitude and frequency sent to each electrode) and perceived phosphenes are distinct in the task of modelling phosphene perception.
“It is necessary to make a distinction between stimulation protocols (current amplitude and frequency sent to each electrode) and perceived phosphenes in the task of modelling phosphene perception.57,102,103”
From Visual Prostheses in the Era of Artificial Intelligence Technology (2025) · cites this paper as [102]
The Introduction and Methods describe a mathematical model of retinal nerve fiber trajectories, not a model of phosphene perception. Searches for stimulation protocols, electrode current and frequency, and phosphenes found no passage in our copy addressing the claimed distinction; page numbers were not available. (LLM, conf=0.75)
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- Authors
- Jansonius, N. M., Nevalainen, J., Selig, B., Zangwill, L. M., Sample, P. A., Budde, W. M., Jonas, J. B., Lagrèze, W. A., Airaksinen, P. J., Vonthein, R., Levin, L. A., Paetzold, J., & Schiefer, U.
- Affiliations
- University Medical Center Groningen (NL)
- Oulu University Hospital (FI)
- University of Tübingen (DE)
- University of California San Diego (US)
- University Medical Centre Mannheim (DE)
- University Medical Center Freiburg (DE)
- University of Wisconsin–Madison (US)
- Corresponding author
- Jansonius, N.M.
- Venue
- Vision Research
- Publisher
- Elsevier BV
- Published
- 2009-08
- Volume
- 49
- Issue
- 17
- Pages
- 2157-2163
- ISSN
- 0042-6989 (ISSN-L)
- PMC
- PMC2848177
- OpenAlex
- W2107082755
- Cited by
- 155
- References
- 1
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 16 · 2023: 8 · 2022: 12 · 2021: 11 · 2020: 10 · 2019: 5 · 2018: 12 · 2017: 8 · 2016: 5 · 2015: 11 · 2014: 22 · 2013: 5 · 2012: 13
- FWCI
- 5.76
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Vision Research (publishedVersion)
- PubMed (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, other-oa)
- PubMed Central (acceptedVersion)
- RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- Funders
- National Eye Institute (R01EY011008)
- Topics
- Health Sciences › Medicine › Ophthalmology › Glaucoma and retinal disorders
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Retinal Imaging and Analysis
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Keywords
- retinal nerve fiber layer, optic nerve head, interindividual variability, mathematical model, fundus images, retinal eccentricity, retinal nerve fiber layer thickness
- MeSH terms
- Glaucoma, Humans, Models, Neurological, Nerve Fibers, Optic Disk, Retrospective Studies, Visual Fields, Retinal Neurons, Visual Field Tests
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