Abstract
Microelectrode array (MEA) recordings of the ex vivo flat-mounted retina enable the functional analysis of the retinal output. The electrical activity of a large portion of retinal ganglion cells (RGCs) is recorded simultaneously in response to various light stimuli. Analysis of the recorded time series of action potentials reveals physiological parameters such as firing rate, time latency, receptive field size, axonal conduction velocity. These parameters change during retinal diseases.
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References
Farrow K, Masland RH (2011) Physiological clustering of visual channels in the mouse retina. J Neurophysiol 105(4):1516–1530
Zeck GM, Masland RH (2007) Spike train signatures of retinal ganglion cell types. Eur J Neurosci 26(2):367–380
Stutzki H et al (2014) Inflammatory stimulation preserves physiological properties of retinal ganglion cells after optic nerve injury. Front Cell Neurosci 8:38
Chichilnisky EJ (2001) A simple white noise analysis of neuronal light responses. Network 12(2):199–213
Ou Y et al (2016) Selective vulnerability of specific retinal ganglion cell types and synapses after transient ocular hypertension. J Neurosci 36(35):9240–9252
El-Danaf RN, Huberman AD (2015) Characteristic patterns of dendritic remodeling in early-stage glaucoma: evidence from genetically identified retinal ganglion cell types. J Neurosci 35(6):2329–2343
Zeck G, Lambacher A, Fromherz P (2011) Axonal transmission in the retina introduces a small dispersion of relative timing in the ganglion cell population response. PLoS One 6(6):e20810
Bakkum DJ et al (2013) Tracking axonal action potential propagation on a high-density microelectrode array across hundreds of sites. Nat Commun 4:2181
Reinhard K et al (2014) Step-by-step instructions for retina recordings with perforated multi electrode arrays. PLoS One 9(8):e106148
Menzler J, Channappa L, Zeck G (2014) Rhythmic ganglion cell activity in bleached and blind adult mouse retinas. PLoS One 9(8):e106047
Zeitler R, Fromherz P, Zeck G (2011) Extracellular voltage noise probes the interface between retina and silicon chip. Appl Phys Lett 99(26):263702
Yger P et al (2016) Fast and accurate spike sorting in vitro and in vivo for up to thousands of electrodes. bioRxiv:067843
Rossant C et al (2016) Spike sorting for large, dense electrode arrays. Nat Neurosci 19(4):634–641
Franke F et al (2010) An online spike detection and spike classification algorithm capable of instantaneous resolution of overlapping spikes. J Comput Neurosci 29(1–2):127–148
Leibig C, Wachtler T, Zeck G (2016) Unsupervised neural spike sorting for high-density microelectrode arrays with convolutive independent component analysis. J Neurosci Methods 271:1–13
Meier R et al (2008) FIND–a unified framework for neural data analysis. Neural Netw 21(8):1085–1093
Egert U et al (2002) MEA-Tools: an open source toolbox for the analysis of multi-electrode data with MATLAB. J Neurosci Methods 117(1):33–42
Della Santina L et al (2013) Differential progression of structural and functional alterations in distinct retinal ganglion cell types in a mouse model of glaucoma. J Neurosci 33(44):17444–17457
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Zeck, G. (2018). Investigation of the Functional Retinal Output Using Microelectrode Arrays. In: Jakobs, T. (eds) Glaucoma. Methods in Molecular Biology, vol 1695. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7407-8_8
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DOI: https://doi.org/10.1007/978-1-4939-7407-8_8
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