Literature DB >> 26115448

Genetically encoded voltage indicators for large scale cortical imaging come of age.

Thomas Knöpfel1, Yasir Gallero-Salas2, Chenchen Song2.   

Abstract

Electrical signals are fundamental to cellular sensing, communication and motility. In the nervous system, information is represented as receptor, synaptic and action potentials. Understanding how brain functions emerge from these electrical signals is one of the ultimate challenges in neuroscience and requires a methodology to monitor membrane voltage transients from large numbers of cells at high spatio-temporal resolution. Optical voltage imaging holds longstanding promises to achieve this, and has gained a fresh powerful momentum with the development of genetically encoded voltage indicators (GEVIs). With a focus on neuroimaging studies on intact mouse brains, we highlight recent advances in this field.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 26115448     DOI: 10.1016/j.cbpa.2015.06.006

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  31 in total

Review 1.  Optogenetics enlightens neuroscience drug discovery.

Authors:  Chenchen Song; Thomas Knöpfel
Journal:  Nat Rev Drug Discov       Date:  2015-11-27       Impact factor: 84.694

2.  Neuroscience: Fluorescent boost for voltage sensors.

Authors:  Viviana Gradinaru; Nicholas C Flytzanis
Journal:  Nature       Date:  2016-01-28       Impact factor: 49.962

3.  Genetically expressed voltage sensor ArcLight for imaging large scale cortical activity in the anesthetized and awake mouse.

Authors:  Peter Y Borden; Alex D Ortiz; Christian Waiblinger; Audrey J Sederberg; Arthur E Morrissette; Craig R Forest; Dieter Jaeger; Garrett B Stanley
Journal:  Neurophotonics       Date:  2017-05-04       Impact factor: 3.593

Review 4.  Emerging tools to study enteric neuromuscular function.

Authors:  Brian D Gulbransen
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2017-03-09       Impact factor: 4.052

5.  Advances in two photon scanning and scanless microscopy technologies for functional neural circuit imaging.

Authors:  Simon R Schultz; Caroline S Copeland; Amanda J Foust; Peter Quicke; Renaud Schuck
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2016-09-28       Impact factor: 10.961

Review 6.  Voltage imaging to understand connections and functions of neuronal circuits.

Authors:  Srdjan D Antic; Ruth M Empson; Thomas Knöpfel
Journal:  J Neurophysiol       Date:  2016-04-13       Impact factor: 2.714

Review 7.  Genetically Encoded Voltage Indicators: Opportunities and Challenges.

Authors:  Helen H Yang; François St-Pierre
Journal:  J Neurosci       Date:  2016-09-28       Impact factor: 6.167

Review 8.  Ultrasound Technologies for Imaging and Modulating Neural Activity.

Authors:  Claire Rabut; Sangjin Yoo; Robert C Hurt; Zhiyang Jin; Hongyi Li; Hongsun Guo; Bill Ling; Mikhail G Shapiro
Journal:  Neuron       Date:  2020-10-14       Impact factor: 17.173

Review 9.  Genetically encoded indicators of neuronal activity.

Authors:  Michael Z Lin; Mark J Schnitzer
Journal:  Nat Neurosci       Date:  2016-08-26       Impact factor: 24.884

Review 10.  Toward Better Genetically Encoded Sensors of Membrane Potential.

Authors:  Douglas Storace; Masoud Sepehri Rad; BokEum Kang; Lawrence B Cohen; Thom Hughes; Bradley J Baker
Journal:  Trends Neurosci       Date:  2016-05       Impact factor: 13.837

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