Juxtacellular recordings from identified neurons in the mouse locus coeruleus

Author:

Zouridis Ioannis S.123ORCID,Schmors Lisa24,Fischer Kathrin Maite123,Berens Philipp245,Preston‐Ferrer Patricia12,Burgalossi Andrea12

Affiliation:

1. Institute of Neurobiology Eberhard Karls University of Tübingen Tübingen Germany

2. Werner Reichardt Centre for Integrative Neuroscience Tübingen Germany

3. Graduate Training Centre of Neuroscience International Max‐Planck Research School (IMPRS) Tübingen Germany

4. Hertie Institute for AI in Brain Health University of Tübingen Tübingen Germany

5. Tübingen AI Center University of Tübingen Tübingen Germany

Abstract

AbstractThe locus coeruleus (LC) is the primary source of noradrenergic transmission in the mammalian central nervous system. This small pontine nucleus consists of a densely packed nuclear core—which contains the highest density of noradrenergic neurons—embedded within a heterogeneous surround of non‐noradrenergic cells. This local heterogeneity, together with the small size of the LC, has made it particularly difficult to infer noradrenergic cell identity based on extracellular sampling of in vivo spiking activity. Moreover, the relatively high cell density, background activity and synchronicity of LC neurons have made spike identification and unit isolation notoriously challenging. In this study, we aimed at bridging these gaps by performing juxtacellular recordings from single identified neurons within the mouse LC complex. We found that noradrenergic neurons (identified by tyrosine hydroxylase, TH, expression; TH‐positive) and intermingled putatively non‐noradrenergic (TH‐negative) cells displayed similar morphologies and responded to foot shock stimuli with excitatory responses; however, on average, TH‐positive neurons exhibited more prominent foot shock responses and post‐activation firing suppression. The two cell classes also displayed different spontaneous firing rates, spike waveforms and temporal spiking properties. A logistic regression classifier trained on spontaneous electrophysiological features could separate the two cell classes with 76% accuracy. Altogether, our results reveal in vivo electrophysiological correlates of TH‐positive neurons, which can be useful for refining current approaches for the classification of LC unit activity.

Funder

Gemeinnützige Hertie-Stiftung

Deutsche Forschungsgemeinschaft

Werner Reichardt Centre for Neuroscience

Eberhard Karls Universität Tübingen

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3