Literature DB >> 24111090

Computational models of optogenetic tools for controlling neural circuits with light.

Konstantin Nikolic, Sarah Jarvis, Nir Grossman, Simon Schultz.   

Abstract

Optogenetics is a new neurotechnology innovation based on the creation of light sensitivity of neurons using gene technologies and remote light activation. Optogenetics allows for the first time straightforward targeted neural stimulation with practically no interference between multiple stimulation points since either light beam can be finely confined or the expression of light sensitive ion channels and pumps can be genetically targeted. Here we present a generalised computational modeling technique for various types of optogenetic mechanisms, which was implemented in the NEURON simulation environment. It was demonstrated on the example of a two classical mechanisms for cells optical activation and silencing: channelrhodopsin-2 (ChR2) and halorhodopsin (NpHR).We theoretically investigate the dynamics of the neural response of a layer 5 cortical pyramidal neuron (L5) to four different types of illuminations: 1) wide-field whole cell illumination 2) wide-field apical dendritic illumination 3) focal somatic illumination and 4) focal axon initial segment (AIS) illumination. We show that whole-cell illumination of halorhodopsin most effectively hyperpolarizes the neuron and is able to silence the cell even when driving input is present. However, when channelrhodopsin-2 and halorhodopsin are concurrently active, the relative location of each illumination determines whether the response is modulated with a balance towards depolarization. The methodology developed in this study will be significant to interpret and design optogenetic experiments and in the field of neuroengineering in general.

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Year:  2013        PMID: 24111090     DOI: 10.1109/EMBC.2013.6610903

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  9 in total

1.  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

Review 2.  Computational modeling of cardiac optogenetics: Methodology overview & review of findings from simulations.

Authors:  Patrick M Boyle; Thomas V Karathanos; Emilia Entcheva; Natalia A Trayanova
Journal:  Comput Biol Med       Date:  2015-05-07       Impact factor: 4.589

Review 3.  Light-based Approaches to Cardiac Arrhythmia Research: From Basic Science to Translational Applications.

Authors:  Thomas V Karathanos; Patrick M Boyle; Natalia A Trayanova
Journal:  Clin Med Insights Cardiol       Date:  2016-11-02

4.  Neuronal gain modulability is determined by dendritic morphology: A computational optogenetic study.

Authors:  Sarah Jarvis; Konstantin Nikolic; Simon R Schultz
Journal:  PLoS Comput Biol       Date:  2018-03-09       Impact factor: 4.475

5.  NeuroMorphoVis: a collaborative framework for analysis and visualization of neuronal morphology skeletons reconstructed from microscopy stacks.

Authors:  Marwan Abdellah; Juan Hernando; Stefan Eilemann; Samuel Lapere; Nicolas Antille; Henry Markram; Felix Schürmann
Journal:  Bioinformatics       Date:  2018-07-01       Impact factor: 6.937

6.  Noisy Light Augments the Na+ Current in Somatosensory Pyramidal Neurons of Optogenetic Transgenic Mice.

Authors:  Pedro Mabil; Nayeli Huidobro; Oswaldo Torres-Ramirez; Jorge Flores-Hernandez; Amira Flores; Ranier Gutierrez; Elias Manjarrez
Journal:  Front Neurosci       Date:  2020-05-20       Impact factor: 4.677

7.  Precise spatiotemporal control of voltage-gated sodium channels by photocaged saxitoxin.

Authors:  Anna V Elleman; Gabrielle Devienne; Christopher D Makinson; Allison L Haynes; John R Huguenard; J Du Bois
Journal:  Nat Commun       Date:  2021-07-07       Impact factor: 17.694

Review 8.  Prospects for Optogenetic Augmentation of Brain Function.

Authors:  Sarah Jarvis; Simon R Schultz
Journal:  Front Syst Neurosci       Date:  2015-11-23

9.  Reconstruction and visualization of large-scale volumetric models of neocortical circuits for physically-plausible in silico optical studies.

Authors:  Marwan Abdellah; Juan Hernando; Nicolas Antille; Stefan Eilemann; Henry Markram; Felix Schürmann
Journal:  BMC Bioinformatics       Date:  2017-09-13       Impact factor: 3.169

  9 in total

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