Literature DB >> 21324771

Modeling study of the light stimulation of a neuron cell with channelrhodopsin-2 mutants.

Nir Grossman1, Konstantin Nikolic, Christofer Toumazou, Patrick Degenaar.   

Abstract

Channelrhodopsin-2 (ChR2) has become a widely used tool for stimulating neurons with light. Nevertheless, the underlying dynamics of the ChR2-evoked spikes are still not yet fully understood. Here, we develop a model that describes the response of ChR2-expressing neurons to light stimuli and use the model to explore the light-to-spike process. We show that an optimal stimulation yield is achieved when the optical energies are delivered in short pulses. The model allows us to theoretically examine the effects of using various types of ChR2 mutants. We show that while increasing the lifetime and shuttering speed of ChR2 have limited effect, reducing the threshold irradiance by increased conductance will eliminate adaptation and allow constant dynamic range. The model and the conclusion presented in this study can help to interpret experimental results, design illumination protocols, and seek improvement strategies in the nascent optogenetic field.

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Substances:

Year:  2011        PMID: 21324771     DOI: 10.1109/TBME.2011.2114883

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  30 in total

1.  Theoretical principles underlying optical stimulation of a channelrhodopsin-2 positive pyramidal neuron.

Authors:  Thomas J Foutz; Richard L Arlow; Cameron C McIntyre
Journal:  J Neurophysiol       Date:  2012-03-21       Impact factor: 2.714

Review 2.  Evolution of optogenetic microdevices.

Authors:  Rajas P Kale; Abbas Z Kouzani; Ken Walder; Michael Berk; Susannah J Tye
Journal:  Neurophotonics       Date:  2015-06-25       Impact factor: 3.593

3.  Cortical neural populations can guide behavior by integrating inputs linearly, independent of synchrony.

Authors:  Mark H Histed; John H R Maunsell
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-23       Impact factor: 11.205

4.  Optogenetic versus Electrical Stimulation of Human Cardiomyocytes: Modeling Insights.

Authors:  John C Williams; Emilia Entcheva
Journal:  Biophys J       Date:  2015-04-21       Impact factor: 4.033

5.  Optogenetic Retinal Gene Therapy with the Light Gated GPCR Vertebrate Rhodopsin.

Authors:  Benjamin M Gaub; Michael H Berry; Meike Visel; Amy Holt; Ehud Y Isacoff; John G Flannery
Journal:  Methods Mol Biol       Date:  2018

6.  Open loop optogenetic control of simulated cortical epileptiform activity.

Authors:  Prashanth Selvaraj; Jamie W Sleigh; Walter J Freeman; Heidi E Kirsch; Andrew J Szeri
Journal:  J Comput Neurosci       Date:  2013-10-31       Impact factor: 1.621

7.  Modulating dopamine release by optogenetics in transgenic mice reveals terminal dopaminergic dynamics.

Authors:  Yao Lu; Nicolette Driscoll; Ilker Ozden; Zeyang Yu; Arto V Nurmikko
Journal:  Neurophotonics       Date:  2015-07-09       Impact factor: 3.593

8.  Theoretical optimization of high-frequency optogenetic spiking of red-shifted very fast-Chrimson-expressing neurons.

Authors:  Neha Gupta; Himanshu Bansal; Sukhdev Roy
Journal:  Neurophotonics       Date:  2019-04-11       Impact factor: 3.593

Review 9.  Cardiac optogenetics.

Authors:  Emilia Entcheva
Journal:  Am J Physiol Heart Circ Physiol       Date:  2013-03-01       Impact factor: 4.733

10.  A Scalable Optoelectronic Neural Probe Architecture With Self-Diagnostic Capability.

Authors:  Hubin Zhao; Ahmed Soltan; Pleun Maaskant; Na Dong; Xiaohan Sun; Patrick Degenaar
Journal:  IEEE Trans Circuits Syst I Regul Pap       Date:  2018-01-24       Impact factor: 3.605

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