Fixed point analysis of nystagmus

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.

[1]  R A Clement,et al.  Eye movement instabilities and nystagmus can be predicted by a nonlinear dynamics model of the saccadic system , 2005, Journal of mathematical biology.

[2]  David S. Broomhead,et al.  Characterisation of congenital nystagmus waveforms in terms of periodic orbits , 2002, Vision Research.

[3]  David S. Broomhead,et al.  Nonlinear time series analysis of jerk congenital nystagmus , 2006, Journal of Computational Neuroscience.

[4]  J Stark,et al.  Reconstructing gene networks: what are the limits? , 2003, Biochemical Society transactions.

[5]  S J Schiff,et al.  Periodic orbits: a new language for neuronal dynamics. , 1998, Biophysical journal.

[6]  Richard W Hertle,et al.  Effects of tenotomy surgery on congenital nystagmus waveforms in adult patients. Part I. Wavelet spectral analysis , 2003, Vision Research.

[7]  F. W. Burton-Fanning HEREDITARY CONGENITAL NYSTAGMUS. , 1895 .

[8]  R. A. Clement,et al.  Dynamical systems analysis: a new method of analysing congenital nystagmus waveforms , 1997, Experimental Brain Research.

[9]  R Reccia,et al.  Spectral analysis of pendular waveforms in congenital nystagmus. , 1989, Ophthalmic research.

[10]  L. Optican,et al.  Tenotomy and congenital nystagmus: a null result is not a failure, for “It is not the answer that enlightens, but the question” , 2004, Vision Research.

[11]  Dmitry Laptev,et al.  Stability of the saccadic oculomotor system , 2006, Biological Cybernetics.

[12]  L F Dell'Osso,et al.  Hereditary congenital nystagmus. An intrafamilial study. , 1974, Archives of ophthalmology.

[13]  F. Proudlock,et al.  The effects of gabapentin and memantine in acquired and congenital nystagmus: a retrospective study , 2006, British Journal of Ophthalmology.

[14]  R. B. Daroff,et al.  Congenital nystagmus waveforms and foveation strategy , 1975, Documenta Ophthalmologica.

[15]  David S. Broomhead,et al.  Modelling of congenital nystagmus waveforms produced by saccadic system abnormalities , 2000, Biological Cybernetics.

[16]  Richard V Abadi,et al.  The influence of nystagmoid oscillation on contrast sensitivity in normal observers , 1985, Vision Research.

[17]  R. V. Abadi,et al.  Harmonic analysis of congenital nystagmus waveforms , 1991 .

[18]  L. Dell’Osso Tenotomy and congenital nystagmus: a failure to answer the wrong question , 2004, Vision Research.

[19]  Ralph Worfolk,et al.  Quick phase programming and saccadic re-orientation in congenital nystagmus , 1991, Vision Research.

[20]  Richard A. Clement,et al.  Periodic orbit analysis reveals subtle effects of atropine on epileptiform activity in the guinea-pig hippocampal slice , 2004, Neuroscience Letters.

[21]  R Reccia,et al.  Computer analysis of ENG spectral features from patients with congenital nystagmus. , 1990, Journal of biomedical engineering.

[22]  M. Slutzky,et al.  Deterministic Chaos and Noise in Three In Vitro Hippocampal Models of Epilepsy , 2004, Annals of Biomedical Engineering.

[23]  Celso Grebogi,et al.  Extracting unstable periodic orbits from chaotic time series data , 1997 .

[24]  Stephen Grossberg,et al.  A neural model of the saccade generator in the reticular formation , 1998, Neural Networks.