Evidence map›Paper›PMID 37188548›Full record

ArticleBrain & development2023

Object identification in cerebral visual impairment characterized by gaze behavior and image saliency analysis.

Claire E Manley, Kerri Walter, Serena Micheletti, Matthew Tietjen, Emily Cantillon, Elisa M Fazzi, Peter J Bex, Lotfi B Merabet

Open access · greenAbstract read
In one paragraph

Article in Brain & development, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.9field-weighted citation impact, top 7% of its field
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

10 citing papers in PubMed, 24 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Claire E ManleyThe Laboratory for Visual Neuroplasticity, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, USA.
Kerri WalterTranslational Vision Lab. Department of Psychology, Northeastern University, Boston, MA, USA.
Serena MichelettiUnit of Child Neurology and Psychiatry, ASST Spedali Civili of Brescia, Brescia, Italy; Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Matthew TietjenThe Laboratory for Visual Neuroplasticity, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, USA.
Emily CantillonThe Laboratory for Visual Neuroplasticity, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, USA.
Elisa M FazziUnit of Child Neurology and Psychiatry, ASST Spedali Civili of Brescia, Brescia, Italy; Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Peter J BexTranslational Vision Lab. Department of Psychology, Northeastern University, Boston, MA, USA.
Lotfi B MerabetThe Laboratory for Visual Neuroplasticity, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, USA. Electronic address: lotfi_merabet@meei.harvard.edu.
Massachusetts Eye and Ear Infirmary · USAzienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · ITNortheastern University · US

Funding

The Harvard Clinical and Translational Science CenterUL1TR002541 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2018 to 2022
$93.0M
Neurophysiological Correlates of Visual Motion Processing in Cerebral Visual ImpairmentR01EY030973 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI Lotfi Merabet · 2020 to 2026
$2.0M
Assessing Spatial Processing Deficits in Cerebral Visual Impairment (CVI) Using Virtual RealityR21EY030587 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI MERABET, LOTFI · 2019 to 2020
$477k
NCATS NIH HHS UL1 TR002541NEI NIH HHS R01 EY030973NEI NIH HHS R21 EY030587
6 · The paper itself

Abstract

Individuals with cerebral visual impairment (CVI) have difficulties identifying common objects, especially when presented as cartoons or abstract images. In this study, participants were shown a series of images of ten common objects, each from five possible categories ranging from abstract black & white line drawings to color photographs. Fifty individuals with CVI and 50 neurotypical controls verbally identified each object and success rates and reaction times were collected. Visual gaze behavior was recorded using an eye tracker to quantify the extent of visual search area explored and number of fixations. A receiver operating characteristic (ROC) analysis was also carried out to compare the degree of alignment between the distribution of individual eye gaze patterns and image saliency features computed by the graph-based visual saliency (GBVS) model. Compared to controls, CVI participants showed significantly lower success rates and longer reaction times when identifying objects. In the CVI group, success rate improved moving from abstract black & white images to color photographs, suggesting that object form (as defined by outlines and contours) and color are important cues for correct identification. Eye tracking data revealed that the CVI group showed significantly greater visual search areas and number of fixations per image, and the distribution of eye gaze patterns in the CVI group was less aligned with the high saliency features of the image compared to controls. These results have important implications in helping to understand the complex profile of visual perceptual difficulties associated with CVI.

Indexed as

Brain DiseasesEye MovementsAttentionFixation, OcularHumansVision DisordersVisual Perception2D imageCerebral visual impairment (CVI)Eye trackingGaze behaviorObject identificationVisual perceptionVisual saliency

Identifiers

PMID37188548
PMCPMC10524860
OpenAlexW4376613544

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.