Characterizing visual processing deficits in cerebral adrenoleukodystrophy.

Adrenoleukodystrophy Cerebral visual impairment Virtual reality Visual processing

Journal

Brain & development
ISSN: 1872-7131
Titre abrégé: Brain Dev
Pays: Netherlands
ID NLM: 7909235

Informations de publication

Date de publication:
12 Oct 2024
Historique:
received: 19 03 2024
revised: 18 09 2024
accepted: 26 09 2024
medline: 14 10 2024
pubmed: 14 10 2024
entrez: 13 10 2024
Statut: aheadofprint

Résumé

Cerebral adrenoleukodystrophy (CALD) can cause visual impairment, but early symptoms are often missed or misdiagnosed. The framework of cerebral visual impairment (CVI) distinguishes deficits in sensory detection ("lower order") from those of perception and interpretation ("higher order"). This study describes visual deficits in patients with CALD and higher order visual function assessed with a virtual reality (VR) interface combined with eye tracking. A retrospective medical record review assessed the prevalence of visual deficits in patients with CALD, as well as lesion burden on brain MRI using the Loes MRI severity score. A VR-based task measured visual spatial processing performance in participants with CALD and controls. Out of 89 CALD patients, 69 % had at least one sign or symptom of visual impairment. Lower order deficits were seen in 56 % of patients, and higher order deficits were seen in 59 % of patients who underwent neuropsychological testing. Even in early stage disease (Loes MRI severity score ≤ 3), visual impairment was present in more than half of patients (58 %). On prospective VR-based assessment, the CALD group (n = 30) had impaired visual search performance (lower success rate and longer reaction time) compared with controls (n = 38). In both groups, there was a trend of worsening performance with increasing task difficulty. Higher order visual deficits, not just impairment of visual acuity, visual fields, or oculomotor function, are common in all stages of CALD. Beyond neuropsychological testing, VR-based functional testing allows for quantitative assessment of higher order visual perceptual deficits that are relevant to everyday tasks and may serve as an important marker of neurological decline.

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
Cerebral adrenoleukodystrophy (CALD) can cause visual impairment, but early symptoms are often missed or misdiagnosed. The framework of cerebral visual impairment (CVI) distinguishes deficits in sensory detection ("lower order") from those of perception and interpretation ("higher order"). This study describes visual deficits in patients with CALD and higher order visual function assessed with a virtual reality (VR) interface combined with eye tracking.
METHODS METHODS
A retrospective medical record review assessed the prevalence of visual deficits in patients with CALD, as well as lesion burden on brain MRI using the Loes MRI severity score. A VR-based task measured visual spatial processing performance in participants with CALD and controls.
RESULTS RESULTS
Out of 89 CALD patients, 69 % had at least one sign or symptom of visual impairment. Lower order deficits were seen in 56 % of patients, and higher order deficits were seen in 59 % of patients who underwent neuropsychological testing. Even in early stage disease (Loes MRI severity score ≤ 3), visual impairment was present in more than half of patients (58 %). On prospective VR-based assessment, the CALD group (n = 30) had impaired visual search performance (lower success rate and longer reaction time) compared with controls (n = 38). In both groups, there was a trend of worsening performance with increasing task difficulty.
DISCUSSION CONCLUSIONS
Higher order visual deficits, not just impairment of visual acuity, visual fields, or oculomotor function, are common in all stages of CALD. Beyond neuropsychological testing, VR-based functional testing allows for quantitative assessment of higher order visual perceptual deficits that are relevant to everyday tasks and may serve as an important marker of neurological decline.

Identifiants

pubmed: 39396893
pii: S0387-7604(24)00133-5
doi: 10.1016/j.braindev.2024.09.008
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have influenced or appeared to influence the work reported in this paper.

Auteurs

Camille S Corre (CS)

Department of Neurology, University of Rochester Medical Center, United States; Department of Neurology, Massachusetts General Hospital, United States.

Melissa Bambery (M)

Department of Neurology, Massachusetts General Hospital, United States.

Christopher R Bennett (CR)

The Laboratory for Visual Neuroplasticity, Massachusetts Eye and Ear, United States.

Amanda Nagy (A)

Department of Neurology, Massachusetts General Hospital, United States; Harvard Medical School, United States.

Claire E Manley (CE)

Department of Neurology, Massachusetts General Hospital, United States.

Ellen Winter (E)

Department of Neurology, Massachusetts General Hospital, United States.

Cary Peregoy (C)

Department of Neurology, Massachusetts General Hospital, United States.

Daniel Kelly (D)

Department of Neurology, Massachusetts General Hospital, United States.

Haley Andonian (H)

Department of Neurology, Massachusetts General Hospital, United States.

Stacy Maciel (S)

Department of Neurology, Massachusetts General Hospital, United States.

Catherine Becker (C)

Department of Neurology, Massachusetts General Hospital, United States.

Lotfi B Merabet (LB)

The Laboratory for Visual Neuroplasticity, Massachusetts Eye and Ear, United States; Harvard Medical School, United States.

Florian S Eichler (FS)

Department of Neurology, Massachusetts General Hospital, United States; Harvard Medical School, United States. Electronic address: feichler@mgb.org.

Classifications MeSH