Literature DB >> 22723707

Behavior-related pauses in simple-spike activity of mouse Purkinje cells are linked to spike rate modulation.

Ying Cao1, Selva K Maran, Mukesh Dhamala, Dieter Jaeger, Detlef H Heck.   

Abstract

Purkinje cells (PCs) in the mammalian cerebellum express high-frequency spontaneous activity with average spike rates between 30 and 200 Hz. Cerebellar nuclear (CN) neurons receive converging input from many PCs, resulting in a continuous barrage of inhibitory inputs. It has been hypothesized that pauses in PC activity trigger increases in CN spiking activity. A prediction derived from this hypothesis is that pauses in PC simple-spike activity represent relevant behavioral or sensory events. Here, we asked whether pauses in the simple-spike activity of PCs related to either fluid licking or respiration, play a special role in representing information about behavior. Both behaviors are widely represented in cerebellar PC simple-spike activity. We recorded PC activity in the vermis and lobus simplex of head-fixed mice while monitoring licking and respiratory behavior. Using cross-correlation and Granger causality analysis, we examined whether short interspike intervals (ISIs) had a different temporal relationship to behavior than long ISIs or pauses. Behavior-related simple-spike pauses occurred during low-rate simple-spike activity in both licking- and breathing-related PCs. Granger causality analysis revealed causal relationships between simple-spike pauses and behavior. However, the same results were obtained from an analysis of surrogate spike trains with gamma ISI distributions constructed to match rate modulations of behavior-related Purkinje cells. Our results therefore suggest that the occurrence of pauses in simple-spike activity does not represent additional information about behavioral or sensory events that goes beyond the simple-spike rate modulations.

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Year:  2012        PMID: 22723707      PMCID: PMC3403286          DOI: 10.1523/JNEUROSCI.4969-11.2012

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  20 in total

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2.  The linear computational algorithm of cerebellar Purkinje cells.

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3.  Estimating Granger causality from fourier and wavelet transforms of time series data.

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Review 4.  Patterns and pauses in Purkinje cell simple spike trains: experiments, modeling and theory.

Authors:  E De Schutter; V Steuber
Journal:  Neuroscience       Date:  2009-02-26       Impact factor: 3.590

5.  Analyzing information flow in brain networks with nonparametric Granger causality.

Authors:  Mukeshwar Dhamala; Govindan Rangarajan; Mingzhou Ding
Journal:  Neuroimage       Date:  2008-02-25       Impact factor: 6.556

6.  Cerebellar cortical output encodes temporal aspects of rhythmic licking movements and is necessary for normal licking frequency.

Authors:  Jerí L Bryant; John D Boughter; Suzhen Gong; Mark S LeDoux; Detlef H Heck
Journal:  Eur J Neurosci       Date:  2010-06-28       Impact factor: 3.386

7.  Dynamic organization of motor control within the olivocerebellar system.

Authors:  J P Welsh; E J Lang; I Suglhara; R Llinás
Journal:  Nature       Date:  1995-03-30       Impact factor: 49.962

8.  Regulation of the rebound depolarization and spontaneous firing patterns of deep nuclear neurons in slices of rat cerebellum.

Authors:  C D Aizenman; D J Linden
Journal:  J Neurophysiol       Date:  1999-10       Impact factor: 2.714

9.  A technique for stereotaxic recordings of neuronal activity in awake, head-restrained mice.

Authors:  Jeri L Bryant; Snigdha Roy; Detlef H Heck
Journal:  J Neurosci Methods       Date:  2008-11-27       Impact factor: 2.390

10.  Pausing purkinje cells in the cerebellum of the awake cat.

Authors:  Michael M Yartsev; Ronit Givon-Mayo; Michael Maller; Opher Donchin
Journal:  Front Syst Neurosci       Date:  2009-02-10
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  23 in total

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

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Journal:  J Physiol       Date:  2016-01-18       Impact factor: 5.182

2.  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 3.  The neuronal code(s) of the cerebellum.

Authors:  Detlef H Heck; Chris I De Zeeuw; Dieter Jaeger; Kamran Khodakhah; Abigail L Person
Journal:  J Neurosci       Date:  2013-11-06       Impact factor: 6.167

4.  Circuit mechanisms underlying motor memory formation in the cerebellum.

Authors:  Ka Hung Lee; Paul J Mathews; Alexander M B Reeves; Katrina Y Choe; Shekib A Jami; Raul E Serrano; Thomas S Otis
Journal:  Neuron       Date:  2015-04-02       Impact factor: 17.173

5.  Differential Purkinje cell simple spike activity and pausing behavior related to cerebellar modules.

Authors:  Haibo Zhou; Kai Voges; Zhanmin Lin; Chiheng Ju; Martijn Schonewille
Journal:  J Neurophysiol       Date:  2015-02-25       Impact factor: 2.714

6.  Effects of thioTEPA chemotherapy on cognition and motor coordination.

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Journal:  Synapse       Date:  2019-03-14       Impact factor: 2.562

Review 7.  Spike-coding mechanisms of cerebellar temporal processing in classical conditioning and voluntary movements.

Authors:  Kenji Yamaguchi; Yoshio Sakurai
Journal:  Cerebellum       Date:  2014-10       Impact factor: 3.847

8.  Precise control of movement kinematics by optogenetic inhibition of Purkinje cell activity.

Authors:  Shane A Heiney; Jinsook Kim; George J Augustine; Javier F Medina
Journal:  J Neurosci       Date:  2014-02-05       Impact factor: 6.167

9.  The fine temporal structure of the rat licking pattern: what causes the variabiliy in the interlick intervals and how is it affected by the drinking solution?

Authors:  Xiong Bin Lin; Dwight R Pierce; Kim Edward Light; Abdallah Hayar
Journal:  Chem Senses       Date:  2013-07-31       Impact factor: 3.160

10.  Gain control of synaptic response function in cerebellar nuclear neurons by a calcium-activated potassium conductance.

Authors:  Steven Si Feng; Risa Lin; Volker Gauck; Dieter Jaeger
Journal:  Cerebellum       Date:  2013-10       Impact factor: 3.847

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