Literature DB >> 3225789

Smooth pursuit eye movements in schizophrenics: quantitative measurements with the search-coil technique.

S Levin1, A Luebke, D S Zee, T C Hain, D A Robinson, P S Holzman.   

Abstract

Eye movements of five schizophrenic and five normal subjects were measured with the magnetic-field search-coil technique. Subjects followed targets moving smoothly at various speeds, either unpredictably in a step-ramp fashion or predictably in a triangular wave. The tracking stimulus was either a small dot or a large, richly-textured image that occupied a large portion of the visual field. Tracking by schizophrenics was abnormal; it was punctuated by catch-up saccades that corrected for smooth following movements of inadequate velocity. We did not, however, find saccadic intrusions, such as square wave jerks. Under all tracking conditions steady-state gains (eye velocity/target velocity) and, in the case of step-ramps, average acceleration in the first 120 ms were lower in patients than in normal subjects. The differences were most pronounced for tracking of the small target, moving at the highest speed tested (30 degree/s), in the nonpredictable, step-ramp waveform. With this stimulus mean steady-state gain was 0.36 (SD +/- 0.12) for the schizophrenic patients and 0.73 (SD +/- 0.11) for the normal subjects. When the target was changed to the large-field stimulus or moved in a predictable (triangular-wave) fashion, tracking improved in both patients and normal subjects, and even more so when these features were combined.

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Mesh:

Year:  1988        PMID: 3225789     DOI: 10.1016/0022-3956(88)90005-2

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  15 in total

Review 1.  Endophenotypes in schizophrenia: a selective review.

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2.  Psychophysical isolation of a motion-processing deficit in schizophrenics and their relatives and its association with impaired smooth pursuit.

Authors:  Y Chen; K Nakayama; D L Levy; S Matthysse; P S Holzman
Journal:  Proc Natl Acad Sci U S A       Date:  1999-04-13       Impact factor: 11.205

3.  Beat-to-beat control of human optokinetic nystagmus slow phase durations.

Authors:  Carey D Balaban; Joseph M Furman
Journal:  J Neurophysiol       Date:  2016-10-19       Impact factor: 2.714

4.  Abnormal visual-vestibular interaction and smooth pursuit tracking in psychosis: implications for cerebellar involvement.

Authors:  P M Cooper; R T Pivik
Journal:  J Psychiatry Neurosci       Date:  1991-03       Impact factor: 6.186

5.  Differential activation patterns of occipital and prefrontal cortices during motion processing: evidence from normal and schizophrenic brains.

Authors:  Yue Chen; Emily D Grossman; L Cinnamon Bidwell; Deborah Yurgelun-Todd; Staci A Gruber; Deborah L Levy; Ken Nakayama; Philip S Holzman
Journal:  Cogn Affect Behav Neurosci       Date:  2008-09       Impact factor: 3.282

6.  Trait vs. State Markers for Schizophrenia: Identification and Characterization through Visual Processes.

Authors:  Yue Chen; L Cinnamon Bidwell; Daniel Norton
Journal:  Curr Psychiatry Rev       Date:  2006-11

7.  Vergence eye movements in patients with schizophrenia.

Authors:  Mark S Bolding; Adrienne C Lahti; David White; Claire Moore; Demet Gurler; Timothy J Gawne; Paul D Gamlin
Journal:  Vision Res       Date:  2014-08-01       Impact factor: 1.886

8.  Ocular motor responses to unpredictable and predictable smooth pursuit stimuli among patients with obsessive-compulsive disorder.

Authors:  B A Clementz; R H Farber; M N Lam; N R Swerdlow
Journal:  J Psychiatry Neurosci       Date:  1996-01       Impact factor: 6.186

9.  Eye movement dysfunction in first-degree relatives of patients with schizophrenia: a meta-analytic evaluation of candidate endophenotypes.

Authors:  Monica E Calkins; William G Iacono; Deniz S Ones
Journal:  Brain Cogn       Date:  2008-10-18       Impact factor: 2.310

10.  Automatic Recording of the Target Location During Smooth Pursuit Eye Movement Testing Using Video-Oculography and Deep Learning-Based Object Detection.

Authors:  Masakazu Hirota; Takao Hayashi; Emiko Watanabe; Yuji Inoue; Atsushi Mizota
Journal:  Transl Vis Sci Technol       Date:  2021-05-03       Impact factor: 3.283

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