Literature DB >> 33856645

Distinct Characteristics of Odor-evoked Calcium and Electrophysiological Signals in Mitral/Tufted Cells in the Mouse Olfactory Bulb.

Han Xu1, Chi Geng1, Xinzhong Hua1,2, Penglai Liu1, Jinshan Xu1, Anan Li3.   

Abstract

Fiber photometry is a recently-developed method that indirectly measures neural activity by monitoring Ca2+ signals in genetically-identified neuronal populations. Although fiber photometry is widely used in neuroscience research, the relationship between the recorded Ca2+ signals and direct electrophysiological measurements of neural activity remains elusive. Here, we simultaneously recorded odor-evoked Ca2+ and electrophysiological signals [single-unit spikes and local field potentials (LFPs)] from mitral/tufted cells in the olfactory bulb of awake, head-fixed mice. Odors evoked responses in all types of signal but the response characteristics (e.g., type of response and time course) differed. The Ca2+ signal was correlated most closely with power in the β-band of the LFP. The Ca2+ signal performed slightly better at odor classification than high-γ oscillations, worse than single-unit spikes, and similarly to β oscillations. These results provide new information to help researchers select an appropriate method for monitoring neural activity under specific conditions.
© 2021. The Author(s).

Entities:  

Keywords:  Electrophysiology; Fiber photometry; Mitral/tufted cells; Odor representation; Olfactory bulb

Year:  2021        PMID: 33856645     DOI: 10.1007/s12264-021-00680-1

Source DB:  PubMed          Journal:  Neurosci Bull        ISSN: 1995-8218            Impact factor:   5.203


  47 in total

Review 1.  The origin of extracellular fields and currents--EEG, ECoG, LFP and spikes.

Authors:  György Buzsáki; Costas A Anastassiou; Christof Koch
Journal:  Nat Rev Neurosci       Date:  2012-05-18       Impact factor: 34.870

2.  Long-term Fiber Photometry for Neuroscience Studies.

Authors:  Yi Li; Zhixiang Liu; Qingchun Guo; Minmin Luo
Journal:  Neurosci Bull       Date:  2019-05-06       Impact factor: 5.203

Review 3.  Investigating large-scale brain dynamics using field potential recordings: analysis and interpretation.

Authors:  Bijan Pesaran; Martin Vinck; Gaute T Einevoll; Anton Sirota; Pascal Fries; Markus Siegel; Wilson Truccolo; Charles E Schroeder; Ramesh Srinivasan
Journal:  Nat Neurosci       Date:  2018-06-25       Impact factor: 24.884

Review 4.  Olfaction as a marker for depression.

Authors:  Ilona Croy; Thomas Hummel
Journal:  J Neurol       Date:  2016-07-08       Impact factor: 4.849

Review 5.  Olfactory Dysfunction as an Early Biomarker in Parkinson's Disease.

Authors:  Michelle E Fullard; James F Morley; John E Duda
Journal:  Neurosci Bull       Date:  2017-08-22       Impact factor: 5.203

6.  Task-Demand-Dependent Neural Representation of Odor Information in the Olfactory Bulb and Posterior Piriform Cortex.

Authors:  Dejuan Wang; Penglai Liu; Xingfeng Mao; Zheng Zhou; Tiantian Cao; Jinshan Xu; Changcheng Sun; Anan Li
Journal:  J Neurosci       Date:  2019-10-31       Impact factor: 6.167

7.  Internal States Influence the Representation and Modulation of Food Intake by Subthalamic Neurons.

Authors:  Haichuan Wu; Xiang Yan; Dongliang Tang; Weixin Gu; Yiwen Luan; Haijiang Cai; Chunyi Zhou; Cheng Xiao
Journal:  Neurosci Bull       Date:  2020-06-21       Impact factor: 5.203

8.  Deep brain optical measurements of cell type-specific neural activity in behaving mice.

Authors:  Guohong Cui; Sang Beom Jun; Xin Jin; Guoxiang Luo; Michael D Pham; David M Lovinger; Steven S Vogel; Rui M Costa
Journal:  Nat Protoc       Date:  2014-05-01       Impact factor: 13.491

Review 9.  Tools for probing local circuits: high-density silicon probes combined with optogenetics.

Authors:  György Buzsáki; Eran Stark; Antal Berényi; Dion Khodagholy; Daryl R Kipke; Euisik Yoon; Kensall D Wise
Journal:  Neuron       Date:  2015-04-08       Impact factor: 17.173

10.  Serotonin neurons in the dorsal raphe nucleus encode reward signals.

Authors:  Yi Li; Weixin Zhong; Daqing Wang; Qiru Feng; Zhixiang Liu; Jingfeng Zhou; Chunying Jia; Fei Hu; Jiawei Zeng; Qingchun Guo; Ling Fu; Minmin Luo
Journal:  Nat Commun       Date:  2016-01-28       Impact factor: 14.919

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  1 in total

1.  Learning of probabilistic punishment as a model of anxiety produces changes in action but not punisher encoding in the dmPFC and VTA.

Authors:  David S Jacobs; Madeleine C Allen; Junchol Park; Bita Moghaddam
Journal:  Elife       Date:  2022-09-14       Impact factor: 8.713

  1 in total

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