SynthesisInvestigative ophthalmology & visual science2024
Training in Cortically Blinded Fields Appears to Confer Patient-Specific Benefit Against Retinal Thinning.
Synthesis in Investigative ophthalmology & visual science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03350919 (Visual Restoration for Hemianopia), which is not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Visual Restoration for Hemianopia
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Trans-Synaptic Retrograde Retinal Degeneration After Post-Chiasmatic Stroke: A Systematic Review of Empirical Evidence.European journal of neurology · 2026Pooled it
- Boosting hemianopia recovery: the power of interareal cross-frequency brain stimulation.Brain : a journal of neurology · 2025Trial
- The effect of perceptual training on visual quality in cataract patients with neural adaptation failure after multifocal intraocular lens implantation.Eye (London, England) · 2026Article
- Abnormal Ipsilesional Hemifields and Improvement Post-Biofeedback Training in Patients with Hemianopia Measured with the MAIA Microperimeter.Brain sciences · 2026Article
- Transhemispheric optic pathway degeneration following unilateral post-geniculate lesions.Brain communications · 2026Article
- What V1 Damage Can Teach Us About Visual Perception and Learning.Annual review of vision science · 2025Review
- Rehabilitating homonymous visual field deficits: white matter markers of recovery-stage 2 registered report.Brain communications · 2024Article
Corrections and comments
- Update of
Authors and funding
7 authors.
Funding
Abstract
Purpose: Damage to the adult primary visual cortex (V1) causes vision loss in the contralateral hemifield, initiating a process of transsynaptic retrograde degeneration (TRD). Here, we examined retinal correlates of TRD using a new metric to account for global changes in inner retinal thickness and asked if perceptual training in the intact or blind field impacts its progression. Methods: We performed a meta-analysis of optical coherence tomography data in 48 participants with unilateral V1 stroke and homonymous visual defects who completed clinical trial NCT03350919. After measuring the thickness of the macular ganglion cell and inner plexiform layer (GCL-IPL) and the peripapillary retinal nerve fiber layer (RNFL), we computed individual laterality indices (LI) at baseline and after ∼6 months of daily motion discrimination training in the intact or blind field. Increasingly positive LI denoted greater layer thinning in retinal regions affected versus unaffected by the cortical damage. Results: Pretraining, the affected GCL-IPL and RNFL were thinner than their unaffected counterparts, generating LI values positively correlated with time since stroke. Participants trained in their intact field exhibited increased LIGCL-IPL. Those trained in their blind field had no significant change in LIGCL-IPL. LIRNFL did not change in either group. Conclusions: Relative shrinkage of the affected versus unaffected macular GCL-IPL can be reliably measured at an individual level and increases with time post-V1 stroke. Relative thinning progressed during intact-field training but appeared to be halted by training within the blind field, suggesting a potentially neuroprotective effect of this simple behavioral intervention.
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Registered trials
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.