Evidence map›Paper›PMID 40493489›Full record

ReviewAnnual review of vision science2025

What V1 Damage Can Teach Us About Visual Perception and Learning.

Matthew R Cavanaugh, Berkeley K Fahrenthold, Krystel R Huxlin

Abstract readReview
In one paragraph

Review in Annual review of vision science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Matthew R CavanaughDepartment of Ophthalmology, Flaum Eye Institute and Center for Visual Science, University of Rochester, Rochester, New York, USA; email: khuxlin@ur.rochester.edu.
Berkeley K FahrentholdDepartment of Ophthalmology, Flaum Eye Institute and Center for Visual Science, University of Rochester, Rochester, New York, USA; email: khuxlin@ur.rochester.edu.
Krystel R HuxlinDepartment of Ophthalmology, Flaum Eye Institute and Center for Visual Science, University of Rochester, Rochester, New York, USA; email: khuxlin@ur.rochester.edu.

Funding

VISUAL SCIENCE RESEARCH CTR SUPPORTP30EY001319 · NEI · UNIVERSITY OF ROCHESTER · PI MICHELE RUCCI · 1985 to 2026
$17.5M
VISUAL SCIENCET32EY007125 · NEI · UNIVERSITY OF ROCHESTER · PI Krystel R Huxlin, Duje Tadin · 1990 to 2026
$7.1M
Vision recovery in cortical blindnessR01EY027314 · NEI · UNIVERSITY OF ROCHESTER · PI MARISA CARRASCO, Krystel R Huxlin · 2017 to 2026
$5.3M
NEI NIH HHS P30 EY001319NEI NIH HHS R01 EY027314NEI NIH HHS T32 EY007125
6 · The paper itself

Abstract

In humans, occipital strokes invariably damage the primary visual cortex (V1), causing a loss of conscious vision over large portions of the visual field. This unfortunate experiment of nature affects a significant proportion of all stroke victims, but there is a lack of accepted vision restoration therapies clinically, despite a rich history of studies into the resulting visual deficit and the perceptual abilities that paradoxically survive in affected portions of the visual field. Over the last two decades, the clinical dogma that V1-damaged adult visual systems cannot recover has been challenged by accumulating evidence that visual retraining to detect or discriminate stimuli in the blind field can restore perceptual abilities. This review summarizes key developments in training approaches, some of the mechanistic insights they have revealed, and limitations and opportunities that have emerged.

Indexed as

LearningPrimary Visual CortexStrokeVisual CortexVisual PerceptionHumansVisual Fieldscontrast sensitivitymotionorientationperceptual learningplasticityvisual perimetry

Identifiers

PMID40493489
PMCPMC12225712

What OpenQuestion holds

Textmetadata
LicenceTDM
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.