Evidence map›Paper›PMID 40492986›Full record

ArticleInvestigative ophthalmology & visual science2025

Multi-Feature Mapping of Distortions in Amblyopia With Localized Sampling.

Haneieh Molaei, Reza Abbas Farishta, Reza Farivar

Abstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Haneieh MolaeiMcGill Vision Research Unit, Department of Ophthalmology and Visual Sciences, McGill University, Montreal, Quebec, Canada.
Reza Abbas FarishtaMcGill Vision Research Unit, Department of Ophthalmology and Visual Sciences, McGill University, Montreal, Quebec, Canada.
Reza FarivarMcGill Vision Research Unit, Department of Ophthalmology and Visual Sciences, McGill University, Montreal, Quebec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The purpose of this study was to investigate position, orientation, and spatial frequency (SF) distortions in amblyopia, their distribution across the visual field (VF), and their relationship with visual acuity (VA) loss. Methods: Twenty-one participants with amblyopia were tested using three tasks measuring distortions in position, orientation, and SF. Stimuli were presented on a 6 × 6 grid covering the central 5 degrees of the VF, with participants adjusting the fellow eye's perception to match the amblyopic eye. Distortion maps were created for each type, and correlations were analyzed within subjects (across their 3 distortion maps) and between subjects (comparing the same type of distortion maps across participants). Correlations with VA loss were also assessed. Results: The prevalence of distortion maps varied, with SF distortions being the most dominant (88.9%), followed by position distortions (66.7%), and orientation distortions being the least common (22.2%). Distortions extended beyond the fovea. Within subjects, spatial patterns of distortion showed no significant correlations across distortion types (P > 0.05), indicating their independence. Between subjects, no significant correlations were found for the same type of distortion map, suggesting individual variability. Additionally, VA differences were not significantly correlated with any distortion type, reinforcing the independence of VA from perceptual distortions. Conclusions: This study highlights the importance of assessing multiple distortion types to fully characterize perceptual deficits in amblyopia. The findings suggest that no single distortion type fully represents amblyopic spatial distortion, as each operates independently. Distortion mapping is essential for understanding, monitoring improvements, and accurately diagnosing amblyopia, as VA measurements alone fail to address these deficits comprehensively.

Indexed as

AmblyopiaSpace PerceptionVisual AcuityVisual FieldsAdolescentAdultFemaleHumansMaleMiddle AgedYoung Adult

Identifiers

PMID40492986
PMCPMC12165260

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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.