Literature DB >> 12441062

Neuronal correlates of kinematics-to-dynamics transformation in the supplementary motor area.

Camillo Padoa-Schioppa1, Chiang Shan Ray Li, Emilio Bizzi.   

Abstract

It is widely acknowledged that movements are planned at the level of the kinematics. However, the central nervous system must ultimately transform kinematic plans into dynamics-related commands. How, when, and where the kinematics-to-dynamics (KD) transformation is processed represent fundamental and unanswered questions. We recorded from the supplementary motor area (SMA) of two monkeys as they executed visually instructed reaching movements. We specifically analyzed a delay period following the instruction but prior to the go signal (motor planning). During the delay, a group of neurons in the SMA progressively came to reflect the dynamics rather than the desired kinematics of the upcoming movement. This finding suggests that some neurons in the SMA participate in the KD transformation.

Entities:  

Mesh:

Year:  2002        PMID: 12441062     DOI: 10.1016/s0896-6273(02)01028-0

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  25 in total

1.  Neuronal correlates of movement dynamics in the dorsal and ventral premotor area in the monkey.

Authors:  Jun Xiao; Camillo Padoa-Schioppa; Emilio Bizzi
Journal:  Exp Brain Res       Date:  2005-09-22       Impact factor: 1.972

Review 2.  Internal models in sensorimotor integration: perspectives from adaptive control theory.

Authors:  Chung Tin; Chi-Sang Poon
Journal:  J Neural Eng       Date:  2005-08-31       Impact factor: 5.379

3.  Reversible large-scale modification of cortical networks during neuroprosthetic control.

Authors:  Karunesh Ganguly; Dragan F Dimitrov; Jonathan D Wallis; Jose M Carmena
Journal:  Nat Neurosci       Date:  2011-04-17       Impact factor: 24.884

4.  Coherent neural representation of hand speed in humans revealed by MEG imaging.

Authors:  Karim Jerbi; Jean-Philippe Lachaux; Karim N'Diaye; Dimitrios Pantazis; Richard M Leahy; Line Garnero; Sylvain Baillet
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-18       Impact factor: 11.205

5.  Multi-compartment model can explain partial transfer of learning within the same limb between unimanual and bimanual reaching.

Authors:  Daichi Nozaki; Stephen H Scott
Journal:  Exp Brain Res       Date:  2009-02-11       Impact factor: 1.972

Review 6.  Towards a computational neuropsychology of action.

Authors:  John W Krakauer; Reza Shadmehr
Journal:  Prog Brain Res       Date:  2007       Impact factor: 2.453

7.  Trial-by-Trial Motor Cortical Correlates of a Rapidly Adapting Visuomotor Internal Model.

Authors:  Sergey D Stavisky; Jonathan C Kao; Stephen I Ryu; Krishna V Shenoy
Journal:  J Neurosci       Date:  2017-01-13       Impact factor: 6.167

8.  Collaboration of Cerebello-Rubral and Cerebello-Striatal Loops in a Motor Preparation Task.

Authors:  Chama Belkhiria; Eya Mssedi; Christophe Habas; Tarak Driss; Giovanni de Marco
Journal:  Cerebellum       Date:  2019-04       Impact factor: 3.847

9.  Time-specific contribution of the supplementary motor area to intermanual transfer of procedural knowledge.

Authors:  Monica A Perez; Satoshi Tanaka; Steven P Wise; Daniel T Willingham; Leonardo G Cohen
Journal:  J Neurosci       Date:  2008-09-24       Impact factor: 6.167

10.  Differences in context and feedback result in different trajectories and adaptation strategies in reaching.

Authors:  Fritzie Arce; Itai Novick; Maayan Shahar; Yuval Link; Claude Ghez; Eilon Vaadia
Journal:  PLoS One       Date:  2009-01-16       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.