Literature DB >> 15940536

Eye movement instabilities and nystagmus can be predicted by a nonlinear dynamics model of the saccadic system.

O E Akman1, D S Broomhead, R V Abadi, R A Clement.   

Abstract

The study of eye movements and oculomotor disorders has, for four decades, greatly benefitted from the application of control theoretic concepts. This paper is an example of a complementary approach based on the theory of nonlinear dynamical systems. Recently, a nonlinear dynamics model of the saccadic system was developed, comprising a symmetric piecewise-smooth system of six first-order autonomous ordinary differential equations. A preliminary numerical investigation of the model revealed that in addition to generating normal saccades, it could also simulate inaccurate saccades, and the oscillatory instability known as congenital nystagmus (CN). By varying the parameters of the model, several types of CN oscillations were produced, including jerk, bidirectional jerk and pendular nystagmus. The aim of this study was to investigate the bifurcations and attractors of the model, in order to obtain a classification of the simulated oculomotor behaviours. The application of standard stability analysis techniques, together with numerical work, revealed that the equations have a rich bifurcation structure. In addition to Hopf, homoclinic and saddlenode bifurcations organised by a Takens-Bogdanov point, the equations can undergo nonsmooth pitchfork bifurcations and nonsmooth gluing bifurcations. Evidence was also found for the existence of Hopf-initiated canards. The simulated jerk CN waveforms were found to correspond to a pair of post-canard symmetry-related limit cycles, which exist in regions of parameter space where the equations are a slow-fast system. The slow and fast phases of the simulated oscillations were attributed to the geometry of the corresponding slow manifold. The simulated bidirectional jerk and pendular waveforms were attributed to a symmetry invariant limit cycle produced by the gluing of the asymmetric cycles. In contrast to control models of the oculomotor system, the bifurcation analysis places clear restrictions on which kinds of behaviour are likely to be associated with each other in parameter space, enabling predictions to be made regarding the possible changes in the oscillation type that may be observed upon changing the model parameters. The analysis suggests that CN is one of a range of oculomotor disorders associated with a pathological saccadic braking signal, and that jerk and pendular nystagmus are the most probable oscillatory instabilities. Additionally, the transition from jerk CN to bidirectional jerk and pendular nystagmus observed experimentally when the gaze angle or attention level is changed is attributed to a gluing bifurcation. This suggests the possibility of manipulating the waveforms of subjects with jerk CN experimentally to produce waveforms with an extended foveation period, thereby improving visual resolution.

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Year:  2005        PMID: 15940536     DOI: 10.1007/s00285-005-0336-4

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  26 in total

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Journal:  Br J Ophthalmol       Date:  2002-10       Impact factor: 4.638

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  9 in total

Review 1.  What we know about the generation of nystagmus and other ocular oscillations: are we closer to identifying therapeutic targets?

Authors:  Rebecca Jane McLean; Irene Gottlob; Frank Antony Proudlock
Journal:  Curr Neurol Neurosci Rep       Date:  2012-06       Impact factor: 5.081

2.  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

3.  Nonlinear time series analysis of jerk congenital nystagmus.

Authors:  O E Akman; D S Broomhead; R A Clement; R V Abadi
Journal:  J Comput Neurosci       Date:  2006-05-26       Impact factor: 1.621

4.  Quick phases of infantile nystagmus show the saccadic inhibition effect.

Authors:  James J Harrison; Petroc Sumner; Matt J Dunn; Jonathan T Erichsen; Tom C A Freeman
Journal:  Invest Ophthalmol Vis Sci       Date:  2015-02-10       Impact factor: 4.799

5.  Bifurcation theory explains waveform variability in a congenital eye movement disorder.

Authors:  Andrea K Barreiro; Jared C Bronski; Thomas J Anastasio
Journal:  J Comput Neurosci       Date:  2008-08-30       Impact factor: 1.621

6.  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

7.  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

8.  Spontaneous Nystagmus in the Dark in an Infantile Nystagmus Patient May Represent Negative Optokinetic Afternystagmus.

Authors:  Ting-Feng Lin; Christina Gerth-Kahlert; James V M Hanson; Dominik Straumann; Melody Ying-Yu Huang
Journal:  Front Neurol       Date:  2018-03-14       Impact factor: 4.003

9.  Modeling and quality assessment of nystagmus eye movements recorded using an eye-tracker.

Authors:  William Rosengren; Marcus Nyström; Björn Hammar; Markus Rahne; Linnea Sjödahl; Martin Stridh
Journal:  Behav Res Methods       Date:  2020-08
  9 in total

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