Literature DB >> 28319608

Cerebellar granule cells acquire a widespread predictive feedback signal during motor learning.

Andrea Giovannucci1,2, Aleksandra Badura1,3, Ben Deverett1,4, Farzaneh Najafi5, Talmo D Pereira1, Zhenyu Gao6, Ilker Ozden1,7, Alexander D Kloth1, Eftychios Pnevmatikakis2,8, Liam Paninski8, Chris I De Zeeuw3,6, Javier F Medina9, Samuel S-H Wang1.   

Abstract

Cerebellar granule cells, which constitute half the brain's neurons, supply Purkinje cells with contextual information necessary for motor learning, but how they encode this information is unknown. Here we show, using two-photon microscopy to track neural activity over multiple days of cerebellum-dependent eyeblink conditioning in mice, that granule cell populations acquire a dense representation of the anticipatory eyelid movement. Initially, granule cells responded to neutral visual and somatosensory stimuli as well as periorbital airpuffs used for training. As learning progressed, two-thirds of monitored granule cells acquired a conditional response whose timing matched or preceded the learned eyelid movements. Granule cell activity covaried trial by trial to form a redundant code. Many granule cells were also active during movements of nearby body structures. Thus, a predictive signal about the upcoming movement is widely available at the input stage of the cerebellar cortex, as required by forward models of cerebellar control.

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Mesh:

Year:  2017        PMID: 28319608      PMCID: PMC5704905          DOI: 10.1038/nn.4531

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  46 in total

Review 1.  Computer simulation of cerebellar information processing.

Authors:  J F Medina; M D Mauk
Journal:  Nat Neurosci       Date:  2000-11       Impact factor: 24.884

2.  Internal models in the cerebellum.

Authors:  D M Wolpert; R C Miall; M Kawato
Journal:  Trends Cogn Sci       Date:  1998-09-01       Impact factor: 20.229

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Authors:  Stephen G Lisberger; Javier F Medina
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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.  Climbing fiber input shapes reciprocity of Purkinje cell firing.

Authors:  Aleksandra Badura; Martijn Schonewille; Kai Voges; Elisa Galliano; Nicolas Renier; Zhenyu Gao; Laurens Witter; Freek E Hoebeek; Alain Chédotal; Chris I De Zeeuw
Journal:  Neuron       Date:  2013-05-02       Impact factor: 17.173

Review 6.  Neural circuitry and plasticity mechanisms underlying delay eyeblink conditioning.

Authors:  John H Freeman; Adam B Steinmetz
Journal:  Learn Mem       Date:  2011-10-03       Impact factor: 2.460

7.  Cerebellar associative sensory learning defects in five mouse autism models.

Authors:  Alexander D Kloth; Aleksandra Badura; Amy Li; Adriana Cherskov; Sara G Connolly; Andrea Giovannucci; M Ali Bangash; Giorgio Grasselli; Olga Peñagarikano; Claire Piochon; Peter T Tsai; Daniel H Geschwind; Christian Hansel; Mustafa Sahin; Toru Takumi; Paul F Worley; Samuel S-H Wang
Journal:  Elife       Date:  2015-07-09       Impact factor: 8.140

8.  A novel inhibitory nucleo-cortical circuit controls cerebellar Golgi cell activity.

Authors:  Lea Ankri; Zoé Husson; Katarzyna Pietrajtis; Rémi Proville; Clément Léna; Yosef Yarom; Stéphane Dieudonné; Marylka Yoe Uusisaari
Journal:  Elife       Date:  2015-05-12       Impact factor: 8.140

9.  Cerebellar modules operate at different frequencies.

Authors:  Haibo Zhou; Zhanmin Lin; Kai Voges; Chiheng Ju; Zhenyu Gao; Laurens W J Bosman; Tom J H Ruigrok; Freek E Hoebeek; Chris I De Zeeuw; Martijn Schonewille
Journal:  Elife       Date:  2014-05-07       Impact factor: 8.140

10.  Excitatory Cerebellar Nucleocortical Circuit Provides Internal Amplification during Associative Conditioning.

Authors:  Zhenyu Gao; Martina Proietti-Onori; Zhanmin Lin; Michiel M Ten Brinke; Henk-Jan Boele; Jan-Willem Potters; Tom J H Ruigrok; Freek E Hoebeek; Chris I De Zeeuw
Journal:  Neuron       Date:  2016-02-03       Impact factor: 17.173

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  67 in total

Review 1.  Local and long-range circuit elements for cerebellar function.

Authors:  Le Xiao; Peter Scheiffele
Journal:  Curr Opin Neurobiol       Date:  2018-01-06       Impact factor: 6.627

2.  Sensorimotor Coding of Vermal Granule Neurons in the Developing Mammalian Cerebellum.

Authors:  Kelly H Markwalter; Yue Yang; Timothy E Holy; Azad Bonni
Journal:  J Neurosci       Date:  2019-06-24       Impact factor: 6.167

Review 3.  Diversity and dynamism in the cerebellum.

Authors:  Chris I De Zeeuw; Stephen G Lisberger; Jennifer L Raymond
Journal:  Nat Neurosci       Date:  2020-12-07       Impact factor: 24.884

4.  Cerebellum: The little learning brain.

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Journal:  Nat Rev Neurosci       Date:  2017-04-06       Impact factor: 34.870

5.  Temporal integration and 1/f power scaling in a circuit model of cerebellar interneurons.

Authors:  Reinoud Maex; Boris Gutkin
Journal:  J Neurophysiol       Date:  2017-04-26       Impact factor: 2.714

6.  Cerebellar granule cells expand their talents.

Authors:  Matthew I Becker; Abigail L Person
Journal:  Nat Neurosci       Date:  2017-04-25       Impact factor: 24.884

Review 7.  Emerging connections between cerebellar development, behaviour and complex brain disorders.

Authors:  Aaron Sathyanesan; Joy Zhou; Joseph Scafidi; Detlef H Heck; Roy V Sillitoe; Vittorio Gallo
Journal:  Nat Rev Neurosci       Date:  2019-05       Impact factor: 34.870

8.  Shared Cortex-Cerebellum Dynamics in the Execution and Learning of a Motor Task.

Authors:  Mark J Wagner; Tony Hyun Kim; Jonathan Kadmon; Nghia D Nguyen; Surya Ganguli; Mark J Schnitzer; Liqun Luo
Journal:  Cell       Date:  2019-03-28       Impact factor: 41.582

Review 9.  Depressed by Learning-Heterogeneity of the Plasticity Rules at Parallel Fiber Synapses onto Purkinje Cells.

Authors:  Aparna Suvrathan; Jennifer L Raymond
Journal:  Cerebellum       Date:  2018-12       Impact factor: 3.847

10.  Automated gesture tracking in head-fixed mice.

Authors:  A Giovannucci; E A Pnevmatikakis; B Deverett; T Pereira; J Fondriest; M J Brady; S S-H Wang; W Abbas; P Parés; D Masip
Journal:  J Neurosci Methods       Date:  2017-07-17       Impact factor: 2.390

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