Properties of rat cone-mediated electroretinograms during light adaptation

Yoshinobu Goto, Shozo Tobimatsu, Junya Shigematsu, Kohei Akazawa, Motohiro Kato

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    12 Citations (Scopus)

    Abstract

    Purpose. Our aim was to better understand how to isolate the cone-mediated response in rats. Therefore, we studied the difference of ERGs in the course of light adaptation between 2 and 20 Hz stimulus frequencies. Methods. A total of 90 rats divided into 18 different groups were used following overnight dark adaptation. ERGs were recorded against 3 different adapting field luminances (1.15, 1.50 or 1.75 log cd/m2) with a combination of 3 stimulus flash intensities (0.86, 1.30 or 2.03 log cd sec/m2). The responses were obtained at 2 minute intervals for 25 minutes of light adaptation. Results. The response of the rat cone ERG was large despite the small number of cones. The mean amplitude increased systematically from the dark-adapted value requiring more than 15 minutes to reach an asymptote at 2 Hz stimulation, but only 10 minutes at 20 Hz stimulation. The 2 Hz adaptation curves had biphasic pattern compared to the monophasic 20 Hz curve. This second increase in the amplitude at 2 Hz appeared at around 7-8 minutes as a function of adaptation time. This tendency was most evident when using a low adapting field luminance with a high flash intensity. Conclusions. Our results suggest that the rods intrude much more during light adaptation at 2 Hz stimulation in rodents than in humans. Therefore, 20 Hz flicker stimulation can better isolate more the cone-mediated function than 2 Hz stimulation during the course of light adaptation in rats. Furthermore, the functional characteristics of the cone in rats may be different from that in humans.

    Original languageEnglish
    Pages (from-to)248-253
    Number of pages6
    JournalCurrent Eye Research
    Volume19
    Issue number3
    DOIs
    Publication statusPublished - Sept 1999

    All Science Journal Classification (ASJC) codes

    • Ophthalmology
    • Sensory Systems
    • Cellular and Molecular Neuroscience

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