Literature DB >> 17113649

Fixed point analysis of nystagmus.

Maria Theodorou1, Richard A Clement.   

Abstract

Motor disorders frequently contain a rhythmic component, but the associated oscillations are not usually precisely periodic. This lack of strict periodicity can make it difficult to identify the effects of experimental manipulations on the oscillation. In this report, we describe the application of a numerical technique for identifying fixed points of a nonlinear map to the recovery of underlying periodicities of the eye movement disorder of nystagmus. The technique is illustrated by application to two different types of nystagmus. In addition we use a local analysis of the behaviour at the fixed points to distinguish between different bifurcations in the two examples with changes in gaze angle. We conclude that the technique reveals consistent effects of experimental manipulations, which may be useful for quantitative characterisation of experimental and therapeutic manipulations of motor disorders.

Entities:  

Mesh:

Year:  2006        PMID: 17113649     DOI: 10.1016/j.jneumeth.2006.09.025

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  4 in total

1.  Components of the neural signal underlying congenital nystagmus.

Authors:  Ozgur E Akman; David S Broomhead; Richard V Abadi; Richard A Clement
Journal:  Exp Brain Res       Date:  2012-05-29       Impact factor: 1.972

2.  Analysing nystagmus waveforms: a computational framework.

Authors:  Richard V Abadi; Ozgur E Akman; Gemma E Arblaster; Richard A Clement
Journal:  Sci Rep       Date:  2021-05-07       Impact factor: 4.379

3.  Optimisation of an exemplar oculomotor model using multi-objective genetic algorithms executed on a GPU-CPU combination.

Authors:  Eleftherios Avramidis; Ozgur E Akman
Journal:  BMC Syst Biol       Date:  2017-03-24

4.  Slow-fast control of eye movements: an instance of Zeeman's model for an action.

Authors:  Richard A Clement; Ozgur E Akman
Journal:  Biol Cybern       Date:  2020-09-30       Impact factor: 2.086

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.