Evidence map›Paper›PMID 39078731›Full record

ArticleInvestigative ophthalmology & visual science2024

Gaze Scanning on Mid-Block Sidewalks by Pedestrians With Homonymous Hemianopia With or Without Spatial Neglect.

Shrinivas Pundlik, Matteo Tomasi, Kevin E Houston, Ayush Kumar, Prerana Shivshanker, Alex R Bowers, Eli Peli, Gang Luo

Abstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Pilot study of a pedestrian collision detection test for a multisite trial of field expansion devices for hemianopia.Optometry and vision science : official publication of the American Academy of Optometry · 2024
    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

8 authors.

Shrinivas PundlikSchepens Eye Research Institute of Mass Eye & Ear, Harvard Medical School, Department of Ophthalmology, Boston, Massachusetts, United States.
Matteo TomasiSchepens Eye Research Institute of Mass Eye & Ear, Harvard Medical School, Department of Ophthalmology, Boston, Massachusetts, United States.
Kevin E HoustonSchepens Eye Research Institute of Mass Eye & Ear, Harvard Medical School, Department of Ophthalmology, Boston, Massachusetts, United States.
Ayush KumarSchepens Eye Research Institute of Mass Eye & Ear, Harvard Medical School, Department of Ophthalmology, Boston, Massachusetts, United States.
Prerana ShivshankerSchepens Eye Research Institute of Mass Eye & Ear, Harvard Medical School, Department of Ophthalmology, Boston, Massachusetts, United States.
Alex R BowersSchepens Eye Research Institute of Mass Eye & Ear, Harvard Medical School, Department of Ophthalmology, Boston, Massachusetts, United States.
Eli PeliSchepens Eye Research Institute of Mass Eye & Ear, Harvard Medical School, Department of Ophthalmology, Boston, Massachusetts, United States.
Gang LuoSchepens Eye Research Institute of Mass Eye & Ear, Harvard Medical School, Department of Ophthalmology, Boston, Massachusetts, United States.

Funding

Mass Eye and Ear-Vision Clinical Scientist Development ProgramK12EY016335 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI Reza Dana · 2004 to 2026
$12.3M
Gaze scanning by walking people with visual field lossR21EY031444 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI LUO, GANG · 2020 to 2021
$534k
NEI NIH HHS K12 EY016335NEI NIH HHS R21 EY031444
6 · The paper itself

Abstract

Purpose: The purpose of this study was to investigate gaze-scanning by pedestrians with homonymous hemianopia (HH) when walking on mid-block sidewalks. Methods: Pedestrians with right homonymous hemianopia (RHH), and left homonymous hemianopia (LHH) without and with left spatial neglect (LHSN) walked on city streets wearing a gaze-tracking system. Gaze points were obtained by combining head movement and eye-in-head movement. Mixed-effects regression models were used to compare horizontal gaze scan magnitudes and rates between the side of the hemi-field loss (BlindSide) and the seeing side (SeeingSide), among the three subject groups, and between mid-block walking and street crossing segments. Results: A total of 7021 gaze scans were obtained from 341 minutes of mid-block walking videos by 19 participants (6 with LHH, 7 with RHH, and 6 with LHSN). The average gaze magnitude and scanning rate in mid-block segments were significantly higher towards the BlindSide than the SeeingSide in LHH (magnitude larger by 1.9° (degrees), P = 0.006; scan rate higher by 4.2 scans/minute, P < 0.001) and RHH subjects (magnitude larger by 3.3°, P < 0.001; scan rate higher by 3.2 scans/minute, P = 0.002), but they were not significantly different in LHSN subjects. The scanning rate, in terms of scans/minute (mean, 95% confidence interval [CI]) was significantly lower in LHSN subjects (mean = 6.9, 95% CI = 5.6-8.7) than LHH (mean = 10.2, 95% CI = 8.0-13.1; P = 0.03) and RHH (mean = 11.1, 95% CI = 9.0-13.7; P = 0.007) subjects. Compared to street-crossings, the scan rate during the mid-block segments was lower by 3.5 scans/minute (P < 0.001) and the gaze magnitude was smaller by 3.8° (P < 0.001) over the 3 groups. Conclusions: Evidence of compensatory scanning suggests a proactive, top-down mechanism driving gaze in HH. The presence of spatial neglect (SN) appeared to negatively impact the top-down process.

Indexed as

Fixation, OcularHemianopsiaPedestriansPerceptual DisordersVisual FieldsAdultAgedAged, 80 and overEye MovementsEye-Tracking TechnologyFemaleHead MovementsHumansMaleMiddle AgedWalking

Identifiers

PMID39078731
PMCPMC11290574

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.