Optokinetic nystagmus: six practical uses.

EYE MOVEMENTS MOVEMENT DISORDERS NEUROOPHTHALMOLOGY NEUROOTOLOGY

Journal

Practical neurology
ISSN: 1474-7766
Titre abrégé: Pract Neurol
Pays: England
ID NLM: 101130961

Informations de publication

Date de publication:
20 Mar 2024
Historique:
accepted: 18 02 2024
medline: 21 3 2024
pubmed: 21 3 2024
entrez: 20 3 2024
Statut: aheadofprint

Résumé

Optokinetic nystagmus (OKN) is a reflexive eye movement in response to movement of the viewer's visual environment that consists of a slow phase eye movement in the direction of the stimulus followed by a quick phase in the opposite direction. When tested at the bedside, the slow phases represent smooth pursuit, while the quick phases represent saccades. Normally, OKN is conjugate and symmetric (horizontally and vertically). Abnormalities in the optokinetic response can provide diagnostic and localising value. We describe six clinical scenarios where OKN testing is most useful for the practising neurologist.

Identifiants

pubmed: 38508722
pii: pn-2023-003772
doi: 10.1136/pn-2023-003772
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

David Edward Hale (DE)

Neurology, Johns Hopkins University, Baltimore, Maryland, USA dhale12@jh.edu.

Stephen Reich (S)

Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Dan Gold (D)

Neurology, Johns Hopkins University, Baltimore, Maryland, USA.
Neurosurgery, Johns Hopkins University, Baltimore, Maryland, USA.
Ophthalmology, Johns Hopkins University, Baltimore, Maryland, USA.
Otolaryngology - Head and Neck Surgery, Johns Hopkins University, Baltimore, Maryland, USA.
Emergency Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Medicine, Johns Hopkins University, Baltimore, Maryland, USA.

Classifications MeSH