Literature DB >> 15930392

Common encoding of novel dynamic loads applied to the hand and arm.

Paul R Davidson1, Daniel M Wolpert, Stephen H Scott, J Randall Flanagan.   

Abstract

In manual action, the relationship between a given motor command and the ensuing movement depends on the dynamics of both the arm and hand-held objects. Skilled performance relies on the brain learning both these dynamics, and previous studies have examined how people adapt to novel loads applied to either the hand or the arm. In this study, we ask whether these different kinds of load are represented independently as a result of changes in cutaneous feedback and hand-arm coordination. We used a robotic apparatus that could either apply forces to an object held in the subject's hand or directly to the segments of the arm. We tested whether subjects could retain learning of a force field applied to the hand after subsequently experiencing the opposing field applied to the arm (or vice versa), or whether retrograde interference would be observed. In separate experiments, we used force fields and torque fields that were linearly related to either hand or joint velocities, respectively. Our finding of complete interference between opposing fields suggests that loads applied to the arm and hand are not represented independently by the sensorimotor system. This interference occurred despite markedly different cutaneous inputs that were directly related to the movement task. This result suggests that the brain represents dynamics independently of these sensory inputs. In addition, we found that the rate at which subjects adapted to a given force field, specified either in hand or joint coordinates, was independent of whether the forces were applied to the hand or arm segments.

Entities:  

Mesh:

Year:  2005        PMID: 15930392      PMCID: PMC6725001          DOI: 10.1523/JNEUROSCI.0429-05.2005

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


  22 in total

1.  Independent learning of internal models for kinematic and dynamic control of reaching.

Authors:  J W Krakauer; M F Ghilardi; C Ghez
Journal:  Nat Neurosci       Date:  1999-11       Impact factor: 24.884

Review 2.  Internal models for motor control and trajectory planning.

Authors:  M Kawato
Journal:  Curr Opin Neurobiol       Date:  1999-12       Impact factor: 6.627

Review 3.  Motor prediction.

Authors:  D M Wolpert; J R Flanagan
Journal:  Curr Biol       Date:  2001-09-18       Impact factor: 10.834

4.  Context-dependent arm pointing adaptation.

Authors:  R D Seidler; J J Bloomberg; G E Stelmach
Journal:  Behav Brain Res       Date:  2001-03-15       Impact factor: 3.332

5.  Visuomotor rotations of varying size and direction compete for a single internal model in motor working memory.

Authors:  Virginia Wigmore; Christine Tong; J Randall Flanagan
Journal:  J Exp Psychol Hum Percept Perform       Date:  2002-04       Impact factor: 3.332

6.  A motor learning strategy reflects neural circuitry for limb control.

Authors:  Kan Singh; Stephen H Scott
Journal:  Nat Neurosci       Date:  2003-04       Impact factor: 24.884

Review 7.  The role of primary motor cortex in goal-directed movements: insights from neurophysiological studies on non-human primates.

Authors:  Stephen H Scott
Journal:  Curr Opin Neurobiol       Date:  2003-12       Impact factor: 6.627

8.  Overlap of internal models in motor cortex for mechanical loads during reaching.

Authors:  Paul L Gribble; Stephen H Scott
Journal:  Nature       Date:  2002-06-27       Impact factor: 49.962

9.  Random presentation enables subjects to adapt to two opposing forces on the hand.

Authors:  Rieko Osu; Satomi Hirai; Toshinori Yoshioka; Mitsuo Kawato
Journal:  Nat Neurosci       Date:  2004-01-25       Impact factor: 24.884

10.  Context-dependent anticipation of different task dynamics: rapid recall of appropriate motor skills using visual cues.

Authors:  Nedialko I Krouchev; John F Kalaska
Journal:  J Neurophysiol       Date:  2003-02       Impact factor: 2.714

View more
  7 in total

1.  Context-dependent partitioning of motor learning in bimanual movements.

Authors:  Ian S Howard; James N Ingram; Daniel M Wolpert
Journal:  J Neurophysiol       Date:  2010-08-04       Impact factor: 2.714

2.  Position sense at the human forearm in the horizontal plane during loading and vibration of elbow muscles.

Authors:  G E Ansems; T J Allen; U Proske
Journal:  J Physiol       Date:  2006-07-27       Impact factor: 5.182

3.  Are there distinct neural representations of object and limb dynamics?

Authors:  N Cothros; J D Wong; P L Gribble
Journal:  Exp Brain Res       Date:  2006-03-09       Impact factor: 1.972

4.  Motor memories of object dynamics are categorically organized.

Authors:  Daniel M Wolpert; J Randall Flanagan; Evan Cesanek; Zhaoran Zhang; James N Ingram
Journal:  Elife       Date:  2021-11-19       Impact factor: 8.713

5.  Discordant Tasks and Motor Adjustments Affect Interactions between Adaptations to Altered Kinematics and Dynamics.

Authors:  Fritzie Arce; Itai Novick; Eilon Vaadia
Journal:  Front Hum Neurosci       Date:  2010-01-04       Impact factor: 3.169

6.  Simultaneous coordinate representations are influenced by visual feedback in a motor learning task.

Authors:  Pritesh N Parmar; Felix C Huang; James L Patton
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2011

7.  Distinct haptic cues do not reduce interference when learning to reach in multiple force fields.

Authors:  Nicholas Cothros; Jeremy Wong; Paul L Gribble
Journal:  PLoS One       Date:  2008-04-23       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.