Literature DB >> 14661903

Eye movement baseline oscillation and variability of eye position during foveation in congenital nystagmus.

Paolo Bifulco1, Mario Cesarelli, Luciano Loffredo, Mario Sansone, Marcello Bracale.   

Abstract

Despite the inability to maintain steady fixation, congenital nystagmus does not necessarily reduce visual acuity, that can be achieved during the foveation periods. The duration of the foveation period, but also the cycle-to-cycle variability of eye position and velocity during foveations play an important role. A quantitative relationship that relates visual acuity with foveation time and cycle-to-cycle variability of eye position during foveation has been previously proposed. In many infrared-oculographic and electro-oculographic eye position recordings of our database, a sinusoidal-like oscillation of the baseline was observed, on which the nystagmus waveforms lay. This oscillation may contribute to increase cycle-to-cycle variability during foveations. The aim of this work is to extract the baseline oscillation from the recordings and to verify its relationship with eye position variability during foveation. On the basis of the observations, the baseline oscillation was assumed to be sinusoidal, and was estimated (using a least mean square technique) from eye movement signals recorded during fixation intervals, at different gaze positions, from 20 patients affected by congenital nystagmus with low visual acuity. The average baseline oscillation amplitude was 1.31 degrees, while the average frequency was 0.34 Hz. Baseline oscillation amplitude was well correlated (with a coefficient of 0.66) to the standard deviations of eye-position during foveation, which in turn is connected to visual acuity.

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Year:  2003        PMID: 14661903     DOI: 10.1023/a:1026285320306

Source DB:  PubMed          Journal:  Doc Ophthalmol        ISSN: 0012-4486            Impact factor:   2.379


  12 in total

1.  Relationship between visual acuity and eye position variability during foveations in congenital nystagmus.

Authors:  M Cesarelli; P Bifulco; L Loffredo; M Bracale
Journal:  Doc Ophthalmol       Date:  2000-07       Impact factor: 2.379

2.  Variation of congenital nystagmus with viewing distance.

Authors:  M T Ukwade; H E Bedell
Journal:  Optom Vis Sci       Date:  1992-12       Impact factor: 1.973

3.  New approach to the digital elimination of 50 Hz interference from the electrocardiogram.

Authors:  I I Christov; I A Dotsinsky
Journal:  Med Biol Eng Comput       Date:  1988-07       Impact factor: 2.602

4.  Waveform characteristics in congenital nystagmus.

Authors:  R V Abadi; C M Dickinson
Journal:  Doc Ophthalmol       Date:  1986       Impact factor: 2.379

5.  Detection of nystagmus eye movements using a recursive digital filter.

Authors:  M Juhola
Journal:  IEEE Trans Biomed Eng       Date:  1988-05       Impact factor: 4.538

6.  Digital low-pass differentiation for biological signal processing.

Authors:  S Usui; I Amidror
Journal:  IEEE Trans Biomed Eng       Date:  1982-10       Impact factor: 4.538

7.  Foveation dynamics in congenital nystagmus. I: Fixation.

Authors:  L F Dell'Osso; J van der Steen; R M Steinman; H Collewijn
Journal:  Doc Ophthalmol       Date:  1992       Impact factor: 2.379

8.  Congenital nystagmus waveforms and foveation strategy.

Authors:  L F Dell'Osso; R B Daroff
Journal:  Doc Ophthalmol       Date:  1975-11-21       Impact factor: 2.379

9.  The effects of afferent stimulation on congenital nystagmus foveation periods.

Authors:  N V Sheth; L F Dell'Osso; R J Leigh; C L Van Doren; H P Peckham
Journal:  Vision Res       Date:  1995-08       Impact factor: 1.886

10.  Interrelations between measures of visual acuity and parameters of eye movement in congenital nystagmus.

Authors:  H E Bedell; D S Loshin
Journal:  Invest Ophthalmol Vis Sci       Date:  1991-02       Impact factor: 4.799

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  3 in total

1.  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

2.  An automated segmentation approach to calibrating infantile nystagmus waveforms.

Authors:  Matt J Dunn; Christopher M Harris; Fergal A Ennis; Tom H Margrain; J Margaret Woodhouse; Lee McIlreavy; Jonathan T Erichsen
Journal:  Behav Res Methods       Date:  2019-10

3.  Comparing the Prognostic Value of Stress Myocardial Perfusion Imaging by Conventional and Cadmium-Zinc Telluride Single-Photon Emission Computed Tomography through a Machine Learning Approach.

Authors:  Valeria Cantoni; Roberta Green; Carlo Ricciardi; Roberta Assante; Leandro Donisi; Emilia Zampella; Giuseppe Cesarelli; Carmela Nappi; Vincenzo Sannino; Valeria Gaudieri; Teresa Mannarino; Andrea Genova; Giovanni De Simini; Alessia Giordano; Adriana D'Antonio; Wanda Acampa; Mario Petretta; Alberto Cuocolo
Journal:  Comput Math Methods Med       Date:  2021-10-16       Impact factor: 2.238

  3 in total

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