Literature DB >> 31787351

Neocortex-Cerebellum Circuits for Cognitive Processing.

Mark J Wagner1, Liqun Luo1.   

Abstract

Although classically thought of as a motor circuit, the cerebellum is now understood to contribute to a wide variety of cognitive functions through its dense interconnections with the neocortex, the center of brain cognition. Recent investigations have shed light on the nature of cerebellar cognitive processing and information exchange with the neocortex. We review findings that demonstrate widespread reward-related cognitive input to the cerebellum, as well as new studies that have characterized the codependence of processing in the neocortex and cerebellum. Together, these data support a view of the neocortex-cerebellum circuit as a joint dynamic system both in classical sensorimotor contexts and reward-related, cognitive processing. These studies have also expanded classical theory on the computations performed by the cerebellar circuit.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  cerebellum; learning; motor control; neocortex; neural dynamics; reward

Year:  2019        PMID: 31787351      PMCID: PMC6942222          DOI: 10.1016/j.tins.2019.11.002

Source DB:  PubMed          Journal:  Trends Neurosci        ISSN: 0166-2236            Impact factor:   13.837


  105 in total

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Journal:  Trends Cogn Sci       Date:  1998-09-01       Impact factor: 20.229

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Authors:  Rémi D Proville; Maria Spolidoro; Nicolas Guyon; Guillaume P Dugué; Fekrije Selimi; Philippe Isope; Daniela Popa; Clément Léna
Journal:  Nat Neurosci       Date:  2014-07-27       Impact factor: 24.884

Review 3.  Functional significance of connections of the inferior olive.

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Authors:  Aparna Suvrathan; Hannah L Payne; Jennifer L Raymond
Journal:  Neuron       Date:  2016-11-10       Impact factor: 17.173

Review 5.  Topography of cerebellar deficits in humans.

Authors:  Giuliana Grimaldi; Mario Manto
Journal:  Cerebellum       Date:  2012-06       Impact factor: 3.847

6.  Coordinated cerebellar climbing fiber activity signals learned sensorimotor predictions.

Authors:  William Heffley; Eun Young Song; Ziye Xu; Benjamin N Taylor; Mary Anne Hughes; Andrew McKinney; Mati Joshua; Court Hull
Journal:  Nat Neurosci       Date:  2018-09-17       Impact factor: 24.884

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Authors:  Mark J Wagner; Tony Hyun Kim; Joan Savall; Mark J Schnitzer; Liqun Luo
Journal:  Nature       Date:  2017-03-20       Impact factor: 49.962

8.  Variability and directionality of inferior olive neuron dendrites revealed by detailed 3D characterization of an extensive morphological library.

Authors:  Nora Vrieler; Sebastian Loyola; Yasmin Yarden-Rabinowitz; Jesse Hoogendorp; Nikolay Medvedev; Tycho M Hoogland; Chris I De Zeeuw; Erik De Schutter; Yosef Yarom; Mario Negrello; Ben Torben-Nielsen; Marylka Yoe Uusisaari
Journal:  Brain Struct Funct       Date:  2019-03-30       Impact factor: 3.270

9.  Convergence of pontine and proprioceptive streams onto multimodal cerebellar granule cells.

Authors:  Cheng-Chiu Huang; Ken Sugino; Yasuyuki Shima; Caiying Guo; Suxia Bai; Brett D Mensh; Sacha B Nelson; Adam W Hantman
Journal:  Elife       Date:  2013-02-26       Impact factor: 8.140

10.  Network structure within the cerebellar input layer enables lossless sparse encoding.

Authors:  Guy Billings; Eugenio Piasini; Andrea Lőrincz; Zoltan Nusser; R Angus Silver
Journal:  Neuron       Date:  2014-08-07       Impact factor: 17.173

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  27 in total

Review 1.  Cortico-cerebellar interactions during goal-directed behavior.

Authors:  Nuo Li; Thomas D Mrsic-Flogel
Journal:  Curr Opin Neurobiol       Date:  2020-09-24       Impact factor: 6.627

2.  Research Note: Functional Connectivity Between a Corticostriatal Network and the Cerebellum.

Authors:  Christophe Habas
Journal:  Cerebellum       Date:  2021-08-14       Impact factor: 3.847

3.  VTA-projecting cerebellar neurons mediate stress-dependent depression-like behaviors.

Authors:  Soo Ji Baek; Jin Sung Park; Jinhyun Kim; Yukio Yamamoto; Keiko Tanaka-Yamamoto
Journal:  Elife       Date:  2022-02-14       Impact factor: 8.140

4.  Concomitant functional impairment and reorganization in the linkage between the cerebellum and default mode network in patients with type 2 diabetes mellitus.

Authors:  Lingling Deng; Huasheng Liu; Huanghui Liu; Jun Liu; Wen Liu; Yan Liu; Youming Zhang; Pengfei Rong; Qi Liang; Wei Wang
Journal:  Quant Imaging Med Surg       Date:  2021-10

5.  Reward-Based Learning and Emotional Habit Formation in the Cerebellum.

Authors:  Jordan E Pierce; Julie A Péron
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

6.  Altered Effective Connectivity Among the Cerebellum and Cerebrum in Patients with Major Depressive Disorder Using Multisite Resting-State fMRI.

Authors:  Peishan Dai; Xiaoyan Zhou; Tong Xiong; Yilin Ou; Zailiang Chen; Beiji Zou; Weihui Li; Zhongchao Huang
Journal:  Cerebellum       Date:  2022-08-06       Impact factor: 3.648

7.  Explicit and Implicit Emotion Processing in the Cerebellum: A Meta-analysis and Systematic Review.

Authors:  Jordan E Pierce; Marine Thomasson; Philippe Voruz; Garance Selosse; Julie Péron
Journal:  Cerebellum       Date:  2022-08-23       Impact factor: 3.648

Review 8.  The Rules of Cerebellar Learning: Around the Ito Hypothesis.

Authors:  Stephen G Lisberger
Journal:  Neuroscience       Date:  2020-08-29       Impact factor: 3.590

9.  The Cerebellum Is Related to Cognitive Dysfunction in White Matter Hyperintensities.

Authors:  Shanshan Cao; Jiajia Nie; Jun Zhang; Chen Chen; Xiaojing Wang; Yuanyuan Liu; Yuting Mo; Baogen Du; Yajuan Hu; Yanghua Tian; Qiang Wei; Kai Wang
Journal:  Front Aging Neurosci       Date:  2021-06-23       Impact factor: 5.750

10.  Brainstem Involvement in Amyotrophic Lateral Sclerosis: A Combined Structural and Diffusion Tensor MRI Analysis.

Authors:  Haining Li; Qiuli Zhang; Qianqian Duan; Jiaoting Jin; Fangfang Hu; Jingxia Dang; Ming Zhang
Journal:  Front Neurosci       Date:  2021-06-02       Impact factor: 4.677

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