Literature DB >> 19735997

Electrophysiological recordings from behaving animals--going beyond spikes.

Edith Chorev1, Jérôme Epsztein, Arthur R Houweling, Albert K Lee, Michael Brecht.   

Abstract

Most of our current knowledge about the neural control of behavior is based on electrophysiology. Here we review advances and limitations of current electrophysiological recording techniques applied in behaving animals. Extracellular recording methods have improved with respect to sampling density and miniaturization, and our understanding of the nature of the recorded signals has advanced. Juxtacellular recordings have become increasingly popular as they allow identification of the recorded neurons. Juxtacellular recordings are relatively easy to apply in behaving animals and can be used to stimulate individual neurons. Methods for intracellular recordings in awake behaving animals also advanced, and it has become clear that long-duration intracellular recordings are possible even in freely moving animals. We conclude that the electrophysiological methods repertoire has greatly diversified in recent years and that the field has moved beyond what used to be a mere spike counting business.

Mesh:

Year:  2009        PMID: 19735997     DOI: 10.1016/j.conb.2009.08.005

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  18 in total

1.  Friction-based stabilization of juxtacellular recordings in freely moving rats.

Authors:  Lucas Herfst; Andrea Burgalossi; Kurt Haskic; John J Tukker; Martin Schmidt; Michael Brecht
Journal:  J Neurophysiol       Date:  2012-04-18       Impact factor: 2.714

2.  Measuring the firing rate of high-resistance neurons with cell-attached recording.

Authors:  Pepe Alcami; Romain Franconville; Isabel Llano; Alain Marty
Journal:  J Neurosci       Date:  2012-02-29       Impact factor: 6.167

Review 3.  Nano-Bioelectronics.

Authors:  Anqi Zhang; Charles M Lieber
Journal:  Chem Rev       Date:  2015-12-21       Impact factor: 60.622

4.  Visualization of cortical, subcortical and deep brain neural circuit dynamics during naturalistic mammalian behavior with head-mounted microscopes and chronically implanted lenses.

Authors:  Shanna L Resendez; Josh H Jennings; Randall L Ung; Vijay Mohan K Namboodiri; Zhe Charles Zhou; James M Otis; Hiroshi Nomura; Jenna A McHenry; Oksana Kosyk; Garret D Stuber
Journal:  Nat Protoc       Date:  2016-02-25       Impact factor: 13.491

5.  Dynamic Gain Analysis Reveals Encoding Deficiencies in Cortical Neurons That Recover from Hypoxia-Induced Spreading Depolarizations.

Authors:  Omer Revah; Ohad Stoler; Andreas Neef; Fred Wolf; Ilya A Fleidervish; Michael J Gutnick
Journal:  J Neurosci       Date:  2019-08-09       Impact factor: 6.167

6.  Biological Interfaces, Modulation, and Sensing with Inorganic Nano-Bioelectronic Materials.

Authors:  Erik N Schaumann; Bozhi Tian
Journal:  Small Methods       Date:  2020-03-08

7.  Distinct Subthreshold Mechanisms Underlying Rate-Coding Principles in Primate Auditory Cortex.

Authors:  Lixia Gao; Kevin Kostlan; Yunyan Wang; Xiaoqin Wang
Journal:  Neuron       Date:  2016-07-28       Impact factor: 17.173

8.  Functional network stability and average minimal distance - A framework to rapidly assess dynamics of functional network representations.

Authors:  Jiaxing Wu; Quinton M Skilling; Daniel Maruyama; Chenguang Li; Nicolette Ognjanovski; Sara Aton; Michal Zochowski
Journal:  J Neurosci Methods       Date:  2017-12-30       Impact factor: 2.390

9.  Recording EEG in Freely Moving Neonatal Rats Using a Novel Method.

Authors:  Qing-Wei Huo; Sidra Tabassum; Afzal Ali Misrani; Cheng Long
Journal:  J Vis Exp       Date:  2017-05-29       Impact factor: 1.355

10.  An optimized surgical approach for obtaining stable extracellular single-unit recordings from the cerebellum of head-fixed behaving mice.

Authors:  Joshua J White; Tao Lin; Amanda M Brown; Marife Arancillo; Elizabeth P Lackey; Trace L Stay; Roy V Sillitoe
Journal:  J Neurosci Methods       Date:  2016-01-14       Impact factor: 2.390

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