Evidence map›Paper›PMID 37012700›Full record

ArticleDevelopmental medicine and child neurology2023

Motion and form coherence processing in individuals with cerebral visual impairment.

Lotfi B Merabet, Claire E Manley, Zahide Pamir, Corinna M Bauer, Jan Skerswetat, Peter J Bex

Open access · bronzeAbstract read
In one paragraph

Article in Developmental medicine and child neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Rapid measurement and machine learning classification of colour vision deficiency.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2023
    Article
  13. Rapid measurement and machine learning classification of color vision deficiency.medRxiv : the preprint server for health sciences · 2023
    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

6 authors at 3 institutions in 2 countries.

Lotfi B MerabetThe Laboratory for Visual Neuroplasticity, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-8094-9536
Claire E ManleyThe Laboratory for Visual Neuroplasticity, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA.
Zahide PamirThe Laboratory for Visual Neuroplasticity, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA.
Corinna M BauerLab for Neuroimaging and Vision Science, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Jan SkerswetatTranslational Vision Lab, Department of Psychology, Northeastern University, Boston, MA, USA.
Peter J BexTranslational Vision Lab, Department of Psychology, Northeastern University, Boston, MA, USA.
Massachusetts Eye and Ear Infirmary · USNortheastern University · USHarvard 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

aimUsing a visual psychophysical paradigm, we sought to assess motion and form coherence thresholds as indices of dorsal and ventral visual stream processing respectively, in individuals with cerebral visual impairment (CVI). We also explored potential associations between psychophysical assessments and brain lesion severity in CVI.

methodTwenty individuals previously diagnosed with CVI (mean age = 17 years 11 months [SD 5 years 10 months]; mean Verbal IQ = 86.42 [SD 35.85]) and 30 individuals with neurotypical development (mean age = 20 years 1 month [SD 3 years 8 months]; mean Verbal IQ = 110.05 [SD 19.34]) participated in the study. In this two-group comparison, cross-sectional study design, global motion, and form pattern coherence thresholds were assessed using a computerized, generalizable, self-administrable, and response-adaptive psychophysical paradigm called FInD (Foraging Interactive D-prime).

resultsConsistent with dorsal stream dysfunction, mean global motion (but not form) coherence thresholds were significantly higher in individuals with CVI compared to controls. No statistically significant association was found between coherence thresholds and lesion severity.

interpretationThese results suggest that the objective assessment of motion and form coherence threshold sensitivities using this psychophysical paradigm may be useful in helping to characterize perceptual deficits and the complex clinical profile of CVI. WHAT THIS PAPER ADDS: In participants with cerebral visual impairment (CVI), motion (but not form) coherence thresholds were significantly higher compared to controls. These psychophysical results support the notion of dorsal stream dysfunction in CVI.

Indexed as

Brain DiseasesMotion PerceptionAdolescentAdultCross-Sectional StudiesEye MovementsHumansVision DisordersYoung Adult

Identifiers

PMID37012700
PMCPMC10795851
OpenAlexW4362522060

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.