Literature DB >> 11880897

Force adaptation transfers to untrained workspace regions in children: evidence for developing inverse dynamic motor models.

Petra Jansen-Osmann1, Stefanie Richter, Jürgen Konczak, Karl-Theodor Kalveram.   

Abstract

When humans perform goal-directed arm movements under the influence of an external damping force, they learn to adapt to these external dynamics. After removal of the external force field, they reveal kinematic aftereffects that are indicative of a neural controller that still compensates the no longer existing force. Such behavior suggests that the adult human nervous system uses a neural representation of inverse arm dynamics to control upper-extremity motion. Central to the notion of an inverse dynamic model (IDM) is that learning generalizes. Consequently, aftereffects should be observable even in untrained workspace regions. Adults have shown such behavior, but the ontogenetic development of this process remains unclear. This study examines the adaptive behavior of children and investigates whether learning a force field in one hemifield of the right arm workspace has an effect on force adaptation in the other hemifield. Thirty children (aged 6-10 years) and ten adults performed 30 degrees elbow flexion movements under two conditions of external damping (negative and null). We found that learning to compensate an external damping force transferred to the opposite hemifield, which indicates that a model of the limb dynamics rather than an association of visited space and experienced force was acquired. Aftereffects were more pronounced in the younger children and readaptation to a null-force condition was prolonged. This finding is consistent with the view that IDMs in children are imprecise neural representations of the actual arm dynamics. It indicates that the acquisition of IDMs is a developmental achievement and that the human motor system is inherently flexible enough to adapt to any novel force within the limits of the organism's biomechanics.

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Year:  2002        PMID: 11880897     DOI: 10.1007/s00221-001-0982-8

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  23 in total

1.  Development of visuomotor representations for hand movement in young children.

Authors:  José L Contreras-Vidal; Jin Bo; J Paul Boudreau; Jane E Clark
Journal:  Exp Brain Res       Date:  2004-12-07       Impact factor: 1.972

2.  Dynamics model for analyzing reaching movements during active and passive torso rotation.

Authors:  Simone B Bortolami; Pascale Pigeon; Paul Dizio; James R Lackner
Journal:  Exp Brain Res       Date:  2008-03-11       Impact factor: 1.972

3.  Development of reaching in infancy.

Authors:  Neil E Berthier; Rachel Keen
Journal:  Exp Brain Res       Date:  2005-12-09       Impact factor: 1.972

4.  Younger is not always better: development of locomotor adaptation from childhood to adulthood.

Authors:  Erin V L Vasudevan; Gelsy Torres-Oviedo; Susanne M Morton; Jaynie F Yang; Amy J Bastian
Journal:  J Neurosci       Date:  2011-02-23       Impact factor: 6.167

5.  Using dual tasks to test immediate transfer of training between naturalistic movements: a proof-of-principle study.

Authors:  Sydney Y Schaefer; Catherine E Lang
Journal:  J Mot Behav       Date:  2012-08-30       Impact factor: 1.328

6.  Age-related differences in the motor planning of a lower leg target matching task.

Authors:  Brenda L Davies; James E Gehringer; Max J Kurz
Journal:  Hum Mov Sci       Date:  2015-10-28       Impact factor: 2.161

7.  Development of kinesthetic-motor and auditory-motor representations in school-aged children.

Authors:  Florian A Kagerer; Jane E Clark
Journal:  Exp Brain Res       Date:  2015-04-26       Impact factor: 1.972

8.  Evidence for multisensory spatial-to-motor transformations in aiming movements of children.

Authors:  Bradley R King; Florian A Kagerer; Jose L Contreras-Vidal; Jane E Clark
Journal:  J Neurophysiol       Date:  2008-11-05       Impact factor: 2.714

9.  Motor commands in children interfere with their haptic perception of objects.

Authors:  Monica Gori; Valentina Squeri; Alessandra Sciutti; Lorenzo Masia; Giulio Sandini; Jürgen Konczak
Journal:  Exp Brain Res       Date:  2012-09-28       Impact factor: 1.972

10.  Continuous and discontinuous drawing: high temporal variability exists only in discontinuous circling in young children.

Authors:  Jin Bo; Amy J Bastian; José L Contreras-Vidal; Florian A Kagerer; Jane E Clark
Journal:  J Mot Behav       Date:  2008-09       Impact factor: 1.328

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