Dual‐Channel Photostimulation for Independent Excitation of Two Populations

Manipulation of defined neurons using excitatory opsins, including channelrhodopsin, enables studies of connectivity and the functional role of these circuit components in the brain. These techniques are vital in the neocortex, where diverse neurons are intermingled, and stimulation of specific cell types is difficult without the spatial, temporal, and genetic control available with optogenetic approaches. Channelrhodopsins are effective for mapping excitatory connectivity from one input type to its target. Attempts to use multiple opsins to simultaneously map multiple inputs face the challenge of partially overlapping light spectra for different opsins. This protocol describes one strategy to independently stimulate two comingled inputs in the same brain area to assess convergence and interaction of pathways in neural circuits. This is highly relevant in the neocortex, where pyramidal neurons integrate excitatory inputs from multiple local cell types and long‐range corticocortical and thalamocortical projections. © 2018 by John Wiley & Sons, Inc.

[1]  Nathan C. Klapoetke,et al.  Transgenic Mice for Intersectional Targeting of Neural Sensors and Effectors with High Specificity and Performance , 2015, Neuron.

[2]  Bryan M Hooks,et al.  Dual-Channel Circuit Mapping Reveals Sensorimotor Convergence in the Primary Motor Cortex , 2015, The Journal of Neuroscience.

[3]  Stefan R. Pulver,et al.  Independent Optical Excitation of Distinct Neural Populations , 2014, Nature Methods.

[4]  A Finkel,et al.  The Electrophysiology Setup , 1997, Current protocols in neuroscience.

[5]  E. Bamberg,et al.  Channelrhodopsin-2, a directly light-gated cation-selective membrane channel , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[6]  Michael A. Henninger,et al.  High-Performance Genetically Targetable Optical Neural Silencing via Light-Driven Proton Pumps , 2010 .

[7]  K. Svoboda,et al.  Channelrhodopsin-2–assisted circuit mapping of long-range callosal projections , 2007, Nature Neuroscience.

[8]  Hongkui Zeng,et al.  Neuronal cell-type classification: challenges, opportunities and the path forward , 2017, Nature Reviews Neuroscience.

[9]  Lief E. Fenno,et al.  Principles for applying optogenetic tools derived from direct comparative analysis of microbial opsins , 2011, Nature Methods.

[10]  Jianing Yu,et al.  Top-down laminar organization of the excitatory network in motor cortex , 2008, Nature Neuroscience.

[11]  C. Petersen,et al.  Layer, Column and Cell-Type Specific Genetic Manipulation in Mouse Barrel Cortex , 2008, Front. Neurosci..

[12]  C. Petersen,et al.  Controlled and localized genetic manipulation in the brain , 2006, Journal of cellular and molecular medicine.

[13]  Wade G. Regehr,et al.  Achieving High-Frequency Optical Control of Synaptic Transmission , 2014, The Journal of Neuroscience.

[14]  Anatol C. Kreitzer,et al.  Differential Innervation of Direct- and Indirect-Pathway Striatal Projection Neurons , 2013, Neuron.

[15]  Lief E. Fenno,et al.  Neocortical excitation/inhibition balance in information processing and social dysfunction , 2011, Nature.

[16]  Jacques Bourg,et al.  Multilaminar networks of cortical neurons integrate common inputs from sensory thalamus , 2016, Nature Neuroscience.

[17]  Mark T. Harnett,et al.  Dendritic Spines Prevent Synaptic Voltage Clamp , 2018, Neuron.

[18]  Allan R. Jones,et al.  A toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing , 2012, Nature Neuroscience.

[19]  D. Kleinfeld,et al.  ReaChR: A red-shifted variant of channelrhodopsin enables deep transcranial optogenetic excitation , 2013, Nature Neuroscience.

[20]  Brian S. Eastwood,et al.  Cell type-specific variation of somatotopic precision across corticostriatal projections , 2018, bioRxiv.

[21]  Arthur W. Wetzel,et al.  Network anatomy and in vivo physiology of visual cortical neurons , 2011, Nature.

[22]  Ian R. Wickersham,et al.  Hierarchical Connectivity and Connection-Specific Dynamics in the Corticospinal–Corticostriatal Microcircuit in Mouse Motor Cortex , 2012, The Journal of Neuroscience.

[23]  Bryan M. Hooks,et al.  Organization of Cortical and Thalamic Input to Pyramidal Neurons in Mouse Motor Cortex , 2013, The Journal of Neuroscience.

[24]  Jessica A. Cardin,et al.  Noninvasive optical inhibition with a red-shifted microbial rhodopsin , 2014, Nature Neuroscience.

[25]  K. Svoboda,et al.  The subcellular organization of neocortical excitatory connections , 2009, Nature.

[26]  R. Douglas,et al.  Neuronal circuits of the neocortex. , 2004, Annual review of neuroscience.

[27]  Alison L. Barth,et al.  Somatostatin-expressing neurons in cortical networks , 2016, Nature Reviews Neuroscience.

[28]  K. Deisseroth,et al.  Millisecond-timescale, genetically targeted optical control of neural activity , 2005, Nature Neuroscience.

[29]  S. Cajal,et al.  Histology of the Nervous System , 1911 .

[30]  Feng Zhang,et al.  Multimodal fast optical interrogation of neural circuitry , 2007, Nature.

[31]  Ian R. Wickersham,et al.  Production of glycoprotein-deleted rabies viruses for monosynaptic tracing and high-level gene expression in neurons , 2010, Nature Protocols.