Literature DB >> 17093116

Morphological and electrophysiological properties of GABAergic and non-GABAergic cells in the deep cerebellar nuclei.

Marylka Uusisaari1, Kunihiko Obata, Thomas Knöpfel.   

Abstract

The deep cerebellar nuclei (DCN) integrate inputs from the brain stem, the inferior olive, and the spinal cord with Purkinje cell output from cerebellar cortex and provide the major output of the cerebellum. Despite their crucial function in motor control and learning, the various populations of neurons in the DCN are poorly defined and characterized. Importantly, differences in electrophysiological properties between glutamatergic and GABAergic cells of the DCN have been largely elusive. Here, we used glutamate decarboxylase (GAD) 67-green fluorescent protein (GFP) knock-in mice to unambiguously identify GABAergic (GAD-positive) and non-GABAergic (GAD-negative, most likely glutamatergic) neurons of the DCN. Morphological analysis of DCN neurons patch-clamped with biocytin-containing electrodes revealed a significant overlap in the distributions of the soma sizes of GAD-positive and GAD-negative cells. Compared with GAD-negative DCN neurons, GAD-positive DCN neurons fire broader action potentials, display stronger frequency accommodation, and do not reach as high firing frequencies during depolarizing current injections. Furthermore, GAD-positive cells display slower spontaneous firing rates and have a more shallow frequency-to-current relationship than the GAD-negative cells but exhibit a longer-lasting rebound depolarization and associated spiking after a transient hyperpolarization. In contrast to the rather homogeneous population of GAD-positive cells, the GAD-negative cells were found to consist of two distinct populations as defined by cell size and electrophysiological features. We conclude that GABAergic DCN neurons are specialized to convey phasic spike rate information, whereas tonic spike rate is more faithfully relayed by the large non-GABAergic cells.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 17093116     DOI: 10.1152/jn.00974.2006

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  94 in total

Review 1.  Diversity of neuronal elements and circuitry in the cerebellar nuclei.

Authors:  Marylka Yoe Uusisaari; Thomas Knöpfel
Journal:  Cerebellum       Date:  2012-06       Impact factor: 3.847

2.  Distinct roles for I(T) and I(H) in controlling the frequency and timing of rebound spike responses.

Authors:  Jordan D T Engbers; Dustin Anderson; Reza Tadayonnejad; W Hamish Mehaffey; Michael L Molineux; Ray W Turner
Journal:  J Physiol       Date:  2011-10-03       Impact factor: 5.182

3.  Precise localization of the voltage-gated potassium channel subunits Kv3.1b and Kv3.3 revealed in the molecular layer of the rat cerebellar cortex by a pre-embedding immunogold method.

Authors:  Nagore Puente; Juan Mendizabal-Zubiaga; Izaskun Elezgarai; Leire Reguero; Ianire Buceta; Pedro Grandes
Journal:  Histochem Cell Biol       Date:  2010-09-21       Impact factor: 4.304

4.  Differential olivo-cerebellar cortical control of rebound activity in the cerebellar nuclei.

Authors:  Freek E Hoebeek; Laurens Witter; Tom J H Ruigrok; Chris I De Zeeuw
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-15       Impact factor: 11.205

5.  Effect of Cerebellohypothalamic Glutamatergic Projections on Immune Function.

Authors:  Jian-Hua Lu; Hai-Nv Mao; Bei-Bei Cao; Yi-Hua Qiu; Yu-Ping Peng
Journal:  Cerebellum       Date:  2012-12       Impact factor: 3.847

6.  Classifying neuronal subclasses of the cerebellum through constellation pharmacology.

Authors:  Kigen J Curtice; Lee S Leavitt; Kevin Chase; Shrinivasan Raghuraman; Martin P Horvath; Baldomero M Olivera; Russell W Teichert
Journal:  J Neurophysiol       Date:  2015-11-18       Impact factor: 2.714

7.  Determinants of rebound burst responses in rat cerebellar nuclear neurons to physiological stimuli.

Authors:  Steven Dykstra; Jordan D T Engbers; Theodore M Bartoletti; Ray W Turner
Journal:  J Physiol       Date:  2016-01-18       Impact factor: 5.182

8.  A Slow Short-Term Depression at Purkinje to Deep Cerebellar Nuclear Neuron Synapses Supports Gain-Control and Linear Encoding over Second-Long Time Windows.

Authors:  Christine M Pedroarena
Journal:  J Neurosci       Date:  2020-06-17       Impact factor: 6.167

Review 9.  Nothing can be coincidence: synaptic inhibition and plasticity in the cerebellar nuclei.

Authors:  Jason R Pugh; Indira M Raman
Journal:  Trends Neurosci       Date:  2009-01-27       Impact factor: 13.837

10.  The reciprocal cerebellar circuitry in human hereditary ataxia.

Authors:  Arnulf H Koeppen; R Liane Ramirez; Sarah T Bjork; Peter Bauer; Paul J Feustel
Journal:  Cerebellum       Date:  2013-08       Impact factor: 3.847

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.