Evidence map›Paper›PMID 41166785›Full record

ArticlePediatric neurology2026

Involvement of the Posterior Visual Pathway Correlates With Higher-Order Visual Impairment in Childhood Stroke Participants Detected by Virtual Reality/Eye-Tracking Paradigm.

Emily Da Cruz, Diana Tambala, Anna Lynch, Claire Manley, Melissa Bambery, Daniel Kelly, Carrie Chui, Kenda Alhadid, Alyssa W Sullivan, Julie Grieco and 4 more

Abstract read
In one paragraph

Article in Pediatric neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

14 authors.

Emily Da CruzDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts; Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Diana TambalaDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts; Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Anna LynchDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts; Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Claire ManleyThe Laboratory for Visual Neuroplasticity, Massachusetts Eye and Ear, Boston, Massachusetts.
Melissa BamberyDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts.
Daniel KellyDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts.
Carrie ChuiDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts.
Kenda AlhadidDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.
Alyssa W SullivanHarvard Medical School, Boston, Massachusetts; Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts.
Julie GriecoHarvard Medical School, Boston, Massachusetts; Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts.
Benjamin OndeckDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts; Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Arne LauerDepartment of Neuroradiology, Heidelberg University, Heidelberg, Germany.
Lotfi B MerabetThe Laboratory for Visual Neuroplasticity, Massachusetts Eye and Ear, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.
Patricia L MusolinoDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts; Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts. Electronic address: pmusolino@mgh.harvard.edu.

Funding

Modeling and Therapeutic Approaches for Genetic VasculopathiesR01NS125353 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI MARK E LINDSAY, Patricia L Musolino · 2022 to 2026
$3.5M
NINDS NIH HHS R01 NS125353
6 · The paper itself

Abstract

backgroundCerebral injury due to stroke in childhood increases the risk of higher-order visual processing (HOVP) deficits, which can lead to behavioral and learning disabilities if left untreated. Using a virtual reality-based search task and structural magnetic resonance imaging analysis, we assess the extent of functional vision deficits in childhood stroke participants and potential anatomical correlates.

methodsTwenty childhood stroke participants and 38 unimpaired controls completed a dynamic visual search task using a virtual reality/eye-tracking (VR/ET) paradigm to quantify functional vision abilities. Virtual reality assessment measures, stroke imaging characteristics, and neuropsychological outcomes were analyzed.

resultsAll childhood stroke participants completed the VR/ET task with success rates and task compliance in equal measure to controls, and the task demonstrated association with neuropsychological testing measures of processing speed. Less accurate search, slower fixation rates, less sensitivity to task load changes, and greater delays initiating a response to a target were observed in our stroke cohort. On magnetic resonance imaging lesion analysis, injury involving the posterior visual pathways, specifically the optic radiations, inferior longitudinal fasciculus, or superior longitudinal fasciculus, correlated with slower reaction time when controlling for age at time of testing.

conclusionsBedside VR/ET assessment in children affected by stroke can detect signs of HOVP deficits identified in neuropsychological testing. Imaging demonstrating involvement of the posterior visual pathway is strongly correlated with impaired visual tracking ability development. Our study demonstrates that injury pattern on imaging at stroke diagnosis can help identify children at risk of HOVP deficits, enabling early monitoring and accommodations facilitating functional vision development.

Indexed as

StrokeVirtual RealityVision DisordersVisual PathwaysAdolescentChildEye-Tracking TechnologyFemaleHumansMagnetic Resonance ImagingMaleNeuropsychological TestsCerebral visual impairmentChildhood strokeFunctional visionHigher order Visual processingPosterior visual pathway

Identifiers

PMID41166785
PMCPMC12927210

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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.