Characterizing and modeling the intrinsic light response of rat ganglion-cell photoreceptors

被引:17
|
作者
Walch, Olivia J. [1 ]
Zhang, L. Samantha [2 ]
Reifler, Aaron N. [2 ]
Dolikian, Michael E. [2 ]
Forger, Daniel B. [1 ,3 ]
Wong, Kwoon Y. [2 ,4 ]
机构
[1] Univ Michigan, Dept Math, Ann Arbor, MI 48105 USA
[2] Univ Michigan, Dept Ophthalmol & Visual Sci, Ann Arbor, MI 48105 USA
[3] Univ Michigan, Dept Computat Med & Bioinformat, Ann Arbor, MI 48105 USA
[4] Univ Michigan, Dept Mol Cellular & Dev Biol, Ann Arbor, MI 48105 USA
基金
美国国家科学基金会;
关键词
melanopsin; retina; light response; electrophysiology; mathematical modeling; INTERMITTENT BRIGHT LIGHT; HUMAN CIRCADIAN PACEMAKER; PHYSIOLOGICAL DIVERSITY; MELANOPSIN; HUMANS; PHOTOTRANSDUCTION; PUPILLARY; RETINA; CONE; ROD;
D O I
10.1152/jn.00544.2015
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Intrinsically photosensitive retinal ganglion cells (ipRGCs) mediate both image-forming vision and non-image-forming visual responses such as pupillary constriction and circadian photoentrainment. Five types of ipRGCs, named M1-M5, have been discovered in rodents. To further investigate their photoresponse properties, we made multielectrode array spike recordings from rat ipRGCs, classified them into M1, M2/M4, and M3/M5 clusters, and measured their intrinsic, melanopsin-based responses to single and flickering light pulses. Results showed that ipRGC spiking can track flickers up to similar to 0.2 Hz in frequency and that flicker intervals between 5 and 14 s evoke the most spikes. We also learned that melanopsin's integration time is intensity and cluster dependent. Using these data, we constructed a mathematical model for each cluster's intrinsic photoresponse. We found that the data for the M1 cluster are best fit by a model that assumes a large photoresponse, causing the cell to enter depolarization block. Our models also led us to hypothesize that the M2/M4 and M3/M5 clusters experience comparable photoexcitation but that the M3/M5 cascade decays significantly faster than the M2/M4 cascade, resulting in different response waveforms between these clusters. These mathematical models will help predict how each ipRGC cluster might respond to stimuli of any waveform and could inform the invention of lighting technologies that promote health through melanopsin stimulation.
引用
收藏
页码:2955 / 2966
页数:12
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