Literature DB >> 22821987

Strategy-dependent encoding of planned arm movements in the dorsal premotor cortex.

Thomas M Pearce1, Daniel W Moran.   

Abstract

The kinematic strategy encoded in motor cortical areas for classic straight-line reaching is remarkably simple and consistent across subjects, despite the complicated musculoskeletal dynamics that are involved. As tasks become more challenging, however, different conscious strategies may be used to improve perceived behavioral performance. We identified additional spatial information that appeared both in single neurons and in the population code of monkey dorsal premotor cortex when obstacles impeded direct reach paths. The neural correlate of movement planning varied between subjects in a manner consistent with the use of different strategies to optimize task completion. These distinct planning strategies were manifested in the timing and strength of the information contained in the neural population code.

Entities:  

Mesh:

Year:  2012        PMID: 22821987      PMCID: PMC3667666          DOI: 10.1126/science.1220642

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  28 in total

1.  Differential representation of perception and action in the frontal cortex.

Authors:  Andrew B Schwartz; Daniel W Moran; G Anthony Reina
Journal:  Science       Date:  2004-01-16       Impact factor: 47.728

2.  Effects of image motion in the dorsal premotor cortex during planning of an arm movement.

Authors:  Tetsuji Ochiai; Hajime Mushiake; Jun Tanji
Journal:  J Neurophysiol       Date:  2002-10       Impact factor: 2.714

Review 3.  Cerebral cortical mechanisms of reaching movements.

Authors:  J F Kalaska; D J Crammond
Journal:  Science       Date:  1992-03-20       Impact factor: 47.728

4.  Effects of hand movement path on motor cortical activity in awake, behaving rhesus monkeys.

Authors:  S Hocherman; S P Wise
Journal:  Exp Brain Res       Date:  1991       Impact factor: 1.972

5.  Space coding by premotor cortex.

Authors:  L Fogassi; V Gallese; G di Pellegrino; L Fadiga; M Gentilucci; G Luppino; M Matelli; A Pedotti; G Rizzolatti
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

6.  Cognitive spatial-motor processes. 3. Motor cortical prediction of movement direction during an instructed delay period.

Authors:  A P Georgopoulos; M D Crutcher; A B Schwartz
Journal:  Exp Brain Res       Date:  1989       Impact factor: 1.972

7.  Neuronal population coding of movement direction.

Authors:  A P Georgopoulos; A B Schwartz; R E Kettner
Journal:  Science       Date:  1986-09-26       Impact factor: 47.728

Review 8.  The primate premotor cortex: past, present, and preparatory.

Authors:  S P Wise
Journal:  Annu Rev Neurosci       Date:  1985       Impact factor: 12.449

9.  Effects of attention on visuomotor activity in the premotor and prefrontal cortex of a primate.

Authors:  G di Pellegrino; S P Wise
Journal:  Somatosens Mot Res       Date:  1993       Impact factor: 1.111

10.  The premotor cortex of the monkey.

Authors:  M Weinrich; S P Wise
Journal:  J Neurosci       Date:  1982-09       Impact factor: 6.167

View more
  21 in total

1.  Movement Imitation via an Abstract Trajectory Representation in Dorsal Premotor Cortex.

Authors:  Aaron L Wong; Steven A Jax; Louisa L Smith; Laurel J Buxbaum; John W Krakauer
Journal:  J Neurosci       Date:  2019-02-25       Impact factor: 6.167

2.  Rapid Automatic Motor Encoding of Competing Reach Options.

Authors:  Jason P Gallivan; Brandie M Stewart; Lee A Baugh; Daniel M Wolpert; J Randall Flanagan
Journal:  Cell Rep       Date:  2017-02-14       Impact factor: 9.423

3.  Motor system: Getting ready to reach.

Authors:  Rachel Jones
Journal:  Nat Rev Neurosci       Date:  2012-08-08       Impact factor: 34.870

4.  A motor planning stage represents the shape of upcoming movement trajectories.

Authors:  Aaron L Wong; Jeff Goldsmith; John W Krakauer
Journal:  J Neurophysiol       Date:  2016-04-20       Impact factor: 2.714

5.  The dynamic nature of value-based decisions.

Authors:  Katherine E Conen; Camillo Padoa-Schioppa
Journal:  Nat Neurosci       Date:  2016-06-28       Impact factor: 24.884

6.  A neural network that finds a naturalistic solution for the production of muscle activity.

Authors:  David Sussillo; Mark M Churchland; Matthew T Kaufman; Krishna V Shenoy
Journal:  Nat Neurosci       Date:  2015-06-15       Impact factor: 24.884

7.  Spike train SIMilarity Space (SSIMS): a framework for single neuron and ensemble data analysis.

Authors:  Carlos E Vargas-Irwin; David M Brandman; Jonas B Zimmermann; John P Donoghue; Michael J Black
Journal:  Neural Comput       Date:  2015-01       Impact factor: 2.026

8.  Functional Brain Networks Are Dominated by Stable Group and Individual Factors, Not Cognitive or Daily Variation.

Authors:  Caterina Gratton; Timothy O Laumann; Ashley N Nielsen; Deanna J Greene; Evan M Gordon; Adrian W Gilmore; Steven M Nelson; Rebecca S Coalson; Abraham Z Snyder; Bradley L Schlaggar; Nico U F Dosenbach; Steven E Petersen
Journal:  Neuron       Date:  2018-04-18       Impact factor: 17.173

9.  Intention estimation in brain-machine interfaces.

Authors:  Joline M Fan; Paul Nuyujukian; Jonathan C Kao; Cynthia A Chestek; Stephen I Ryu; Krishna V Shenoy
Journal:  J Neural Eng       Date:  2014-02       Impact factor: 5.379

Review 10.  Decision-making in sensorimotor control.

Authors:  Jason P Gallivan; Craig S Chapman; Daniel M Wolpert; J Randall Flanagan
Journal:  Nat Rev Neurosci       Date:  2018-09       Impact factor: 34.870

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.