Evidence map›Paper›PMID 42200940›Full record

ArticleJournal of eye movement research2026

Ab Initio Binocular Formulation of Listing's Law.

Jacek Turski

Abstract read
In one paragraph

Article in Journal of eye movement research, 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

1 author.

Jacek TurskiDepartment of Mathematics and Statistics, University of Houston-Downtown, One Main Street, Houston, TX 77002, USA.ORCID 0000-0001-7968-3980

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human eyes do not have perfectly aligned optical components; the fovea is displaced from the posterior pole, and the crystalline lens is tilted away from the eye's optical axis. Important in the study of vision quality, it is included here in binocular and oculomotor research. In the binocular system, with the eye's optical asymmetry, all axes differ. The eye's posture change is decomposed into the torsion-free part that gives the change in visual axis direction and the torsional part that best approximates the rotation about the lens's optical axis. This geometric formulation, supported by computer simulations and modern ophthalmology studies, leads to binocular Listing's law and the related half-angle rule, important for oculomotor control by constraining the eye's redundant torsional degree of freedom. The eye's primary position and the Listing plane, indispensable ingredients of Listing's law, are replaced with the binocular eyes' posture corresponding to the eye muscles' natural tonus resting position, which serves as a zero-reference level for convergence effort. Further, the binocular constraints couple 3D changes in the torsional positions of the eyes within the ab initio formulation of Listing's law here, which was previously proposed ad hoc. Finally, the noncommutativity rule underlying Listing's law and the half-angle rule are discussed by specifying the configuration space of sequences of fixations of binocularly constrained eyes, which are visualized in 3D simulations. The results obtained in this study should be a part of the answers to the questions posted in the literature on the relevance of Listing's law to clinical practices.

Indexed as

configuration space of eye’s rotational sequenceseye’s misaligned opticsGeoGebra’s dynamic geometryhalf-angle ruleListing’s lawnoncommutativity of eye rotationsocular torsionRodrigues’ vectorthe asymmetric eye model

Identifiers

PMID42200940
PMCPMC13214631

What OpenQuestion holds

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Registered trials

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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.