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An Autoregressive (AR) Model Applied to Eye Tremor Movement, Clinical Application in Schizophrenia

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Abstract

In this study, we use a parametric autoregressive (AR) model to obtain descriptive features of eye tremor movement during fixation. The interest consists in analyzing model parameters to determine the information that can be used as indicator of specific pathophysiology underlying cerebral dysfunction in schizophrenic subjects. We have tested healthy volunteers and schizophrenic medicated and unmedicated patients, to evaluate the treatment effect. The AR model is applied to the eye tremor movement extracted from the eye position signal recorded when subjects are fixating a stationary target. The analysis of the model parameters shows distinct classes, corresponding to a population of subjects among the three kinds included in this study.

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REFERENCES

  1. Steinman, R. M., Haddad, G. M., Skavenki, A. A., and Wyman, D., Miniature eye movement, the pattern of saccades made by man during maintained fixation may be refined but useless motor habit. Science 181:810–818, 1973.

    Google Scholar 

  2. Hotson, J. R., M. D., Cerebellar control of fixation eye movement. Neurology 32:32–36, 1982.

    Google Scholar 

  3. Eizenman, M., Hallett, P. E., and Frecker, R. C., Power spectra for drift and tremor. Vision Res. 25:1635–1640, 1985.

    Google Scholar 

  4. Berthoz, A., and Vidal, P. P., Oscillations in control of eye and head movements. In Buzsã ki et al. (eds.), Temporal Coding in the Brain, 1994.

  5. Hennig, M. H., Kersher, N. J., Funke, K., and Wörg ötter, F., Stochastic resonance in visual cortical neurons: Does the eye tremor actually improve visual acuity. Neurocomputing 115–120, 2002.

  6. Moller, F., and Bek, T., Clinical investigation: Lack of correlation between visual acuity and fixation stability after photocoagulation for diabetic maculopathy. Graefes.Arch.Clin.Exp.Ophthalmol. 7:566–570, 2000.

    Google Scholar 

  7. Ramdane Cherif, Z., Naï t-ali, A., Motsch, J. F., and Krebs, M. O., Recording and analyzing a eye movements during ocular fixation in schizophrenic subjects. NEBE'02, 28th Ann.Northeast Bioeng.Conf.IEEE-EMBS, Philadelphia, 2002.

  8. Rosse, R. B., et al., Visual fixation deficits and evidence of cognitive impairments in schizophrenia. Biol.Psychiatry 31:412–414, 1992.

    Google Scholar 

  9. Amador, X. F., et al., Visual fixation and smooth pursuit eye movement abnormalities in patients with schizophrenia and their relatives. J.Neuropsychiatry 7:197–206, 1995.

    Google Scholar 

  10. Sweeny, J. A., Strojwas, M. H., Mann, J. J., and Thase, M. E., Prefrontal and the cereballar abnormality in major depression: Evidence from occulomotor studies. Biol.Psychiatry 43:584–594, 1998.

    Google Scholar 

  11. Bolger, C., Bojanic, S., Sheahan, N. F., and Coakley, D., Dominant frequency content of ocular mi-crotremor from normal subjects. Vision Res. 1911–1915, 1999.

  12. Bolger, C., Bojanic, S., Sheahan, N. F., Coakley, D., and Malone, F., Effect of age on ocular microtremor activity. J.Gero.: Medicale Sci. 386–390, 2001.

  13. Reulen, J. P., Marcus, J. T., et al., Precise recording of eye movement: The IRIS technique Part 1. Med.Biol.Eng.Comput. 26:20–26, 1988.

    Google Scholar 

  14. Mallat, S. G., A theory of multiresolution signal decomposition: The wavelet representation. IEEE Trans.Patt.Anal.Mach.Intell. 674–493, 1989.

  15. Jackson, L. B., Digital Filters and Signal Processing, 2nd edn., Kluwer Academic, Dordrecht, the Netherlands, 1989.

    Google Scholar 

  16. Akaike, H., A new look at the statistical model identification. IEEE Trans.Automat.Contr. 716–723, 1974.

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Ramdane-Cherif, Z., Naït-Ali, A., Motsch, J.F. et al. An Autoregressive (AR) Model Applied to Eye Tremor Movement, Clinical Application in Schizophrenia. Journal of Medical Systems 28, 489–495 (2004). https://doi.org/10.1023/B:JOMS.0000041175.50344.d4

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  • DOI: https://doi.org/10.1023/B:JOMS.0000041175.50344.d4

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