New advances regarding adaptation of the vestibulo-ocular reflex.


Journal

Journal of neurophysiology
ISSN: 1522-1598
Titre abrégé: J Neurophysiol
Pays: United States
ID NLM: 0375404

Informations de publication

Date de publication:
01 08 2019
Historique:
pubmed: 20 6 2019
medline: 8 5 2020
entrez: 20 6 2019
Statut: ppublish

Résumé

This is a review summarizing the development of vestibulo-ocular reflex (VOR) adaptation behavior with relevance to rehabilitation over the last 10 years and examines VOR adaptation using head-on-body rotations, specifically the influence of training target contrast, position and velocity error signal, active vs. passive head rotations, and sinusoidal vs. head impulse rotations. This review discusses optimization of the single VOR adaptation training session, consolidation between repeated training sessions, and dynamic incremental VOR adaptation. Also considered are the effects of aging and the roles of the efferent vestibular system, cerebellum, and otoliths on angular VOR adaptation. Finally, this review examines VOR adaptation findings in studies using whole body rotations.

Identifiants

pubmed: 31215309
doi: 10.1152/jn.00729.2018
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

644-658

Auteurs

Michael C Schubert (MC)

Laboratory of Vestibular NeuroAdaptation, Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University, Baltimore, Maryland.
Department of Physical Medicine and Rehabilitation, Johns Hopkins University, Baltimore, Maryland.

Americo A Migliaccio (AA)

Balance and Vision Laboratory, Neuroscience Research Australia, Sydney, New South Wales, Australia.
Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia.
Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University, Baltimore, Maryland.
School of Biomedical Sciences, University of Newcastle, Newcastle, New South Wales, Australia.

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Classifications MeSH