Literature DB >> 28188217

Hebbian Spike-Timing Dependent Plasticity at the Cerebellar Input Stage.

Martina Sgritta1,2, Francesca Locatelli1, Teresa Soda1,3, Francesca Prestori1, Egidio Ugo D'Angelo4,5.   

Abstract

Spike-timing-dependent plasticity (STDP) is a form of long-term synaptic plasticity exploiting the time relationship between postsynaptic action potentials (APs) and EPSPs. Surprisingly enough, very little was known about STDP in the cerebellum, although it is thought to play a critical role for learning appropriate timing of actions. We speculated that low-frequency oscillations observed in the granular layer may provide a reference for repetitive EPSP/AP phase coupling. Here we show that EPSP-spike pairing at 6 Hz can optimally induce STDP at the mossy fiber-granule cell synapse in rats. Spike timing-dependent long-term potentiation and depression (st-LTP and st-LTD) were confined to a ±25 ms time-window. Because EPSPs led APs in st-LTP while APs led EPSPs in st-LTD, STDP was Hebbian in nature. STDP occurred at 6-10 Hz but vanished >50 Hz or <1 Hz (where only LTP or LTD occurred). STDP disappeared with randomized EPSP/AP pairing or high intracellular Ca2+ buffering, and its sign was inverted by GABA-A receptor activation. Both st-LTP and st-LTD required NMDA receptors, but st-LTP also required reinforcing signals mediated by mGluRs and intracellular calcium stores. Importantly, st-LTP and st-LTD were significantly larger than LTP and LTD obtained by modulating the frequency and duration of mossy fiber bursts, probably because STDP expression involved postsynaptic in addition to presynaptic mechanisms. These results thus show that a Hebbian form of STDP occurs at the cerebellum input stage, providing the substrate for phase-dependent binding of mossy fiber spikes to repetitive theta-frequency cycles of granule cell activity.SIGNIFICANCE STATEMENT Long-term synaptic plasticity is a fundamental property of the brain, causing persistent modifications of neuronal communication thought to provide the cellular basis of learning and memory. The cerebellum is critical for learning the appropriate timing of sensorimotor behaviors, but whether and how appropriate spike patterns could drive long-term synaptic plasticity remained unknown. Here, we show that this can actually occur through a form of spike-timing-dependent plasticity (STDP) at the cerebellar inputs stage. Pairing presynaptic and postsynaptic spikes at 6-10 Hz reliably induced STDP at the mossy fiber-granule cell synapse, with potentiation and depression symmetrically distributed within a ±25 ms time window. Thus, STDP can bind plasticity to the mossy fiber burst phase with high temporal precision.
Copyright © 2017 the authors 0270-6474/17/372809-15$15.00/0.

Entities:  

Keywords:  cerebellum; granular layer; spike-timing-dependent plasticity

Mesh:

Year:  2017        PMID: 28188217      PMCID: PMC6596728          DOI: 10.1523/JNEUROSCI.2079-16.2016

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


  17 in total

1.  Consensus paper: Decoding the Contributions of the Cerebellum as a Time Machine. From Neurons to Clinical Applications.

Authors:  Martin Bareš; Richard Apps; Laura Avanzino; Assaf Breska; Egidio D'Angelo; Pavel Filip; Marcus Gerwig; Richard B Ivry; Charlotte L Lawrenson; Elan D Louis; Nicholas A Lusk; Mario Manto; Warren H Meck; Hiroshi Mitoma; Elijah A Petter
Journal:  Cerebellum       Date:  2019-04       Impact factor: 3.847

2.  Hyperexcitability and Hyperplasticity Disrupt Cerebellar Signal Transfer in the IB2 KO Mouse Model of Autism.

Authors:  Teresa Soda; Lisa Mapelli; Francesca Locatelli; Laura Botta; Mitchell Goldfarb; Francesca Prestori; Egidio D'Angelo
Journal:  J Neurosci       Date:  2019-01-29       Impact factor: 6.167

Review 3.  Computational Principles of Supervised Learning in the Cerebellum.

Authors:  Jennifer L Raymond; Javier F Medina
Journal:  Annu Rev Neurosci       Date:  2018-07-08       Impact factor: 12.449

4.  Calcium Channel-Dependent Induction of Long-Term Synaptic Plasticity at Excitatory Golgi Cell Synapses of Cerebellum.

Authors:  F Locatelli; T Soda; I Montagna; S Tritto; L Botta; F Prestori; E D'Angelo
Journal:  J Neurosci       Date:  2021-01-26       Impact factor: 6.167

5.  Cerebellar Learning Properties Are Modulated by the CRF Receptor.

Authors:  Gili Ezra-Nevo; Francesca Prestori; Francesca Locatelli; Teresa Soda; Michiel M Ten Brinke; Mareen Engel; Henk-Jan Boele; Laura Botta; Dena Leshkowitz; Assaf Ramot; Michael Tsoory; Inbal E Biton; Jan Deussing; Egidio D'Angelo; Chris I De Zeeuw; Alon Chen
Journal:  J Neurosci       Date:  2018-06-22       Impact factor: 6.167

Review 6.  Physiology of Cerebellar Reserve: Redundancy and Plasticity of a Modular Machine.

Authors:  Hiroshi Mitoma; Shinji Kakei; Kazuhiko Yamaguchi; Mario Manto
Journal:  Int J Mol Sci       Date:  2021-04-30       Impact factor: 5.923

7.  Activation of the CREB/c-Fos Pathway during Long-Term Synaptic Plasticity in the Cerebellum Granular Layer.

Authors:  Daniela Gandolfi; Silvia Cerri; Jonathan Mapelli; Mariarosa Polimeni; Simona Tritto; Marie-Therese Fuzzati-Armentero; Albertino Bigiani; Fabio Blandini; Lisa Mapelli; Egidio D'Angelo
Journal:  Front Cell Neurosci       Date:  2017-06-28       Impact factor: 5.505

8.  Corollary discharge in precerebellar nuclei of sleeping infant rats.

Authors:  Didhiti Mukherjee; Greta Sokoloff; Mark S Blumberg
Journal:  Elife       Date:  2018-12-05       Impact factor: 8.140

9.  Interplay of multiple pathways and activity-dependent rules in STDP.

Authors:  Gaëtan Vignoud; Laurent Venance; Jonathan D Touboul
Journal:  PLoS Comput Biol       Date:  2018-08-14       Impact factor: 4.475

10.  The Concept of Transmission Coefficient Among Different Cerebellar Layers: A Computational Tool for Analyzing Motor Learning.

Authors:  Saeed Solouki; Fariba Bahrami; Mahyar Janahmadi
Journal:  Front Neural Circuits       Date:  2019-08-27       Impact factor: 3.492

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.