Age-related differences in the reaching and grasping coordination in children: unimanual and bimanual tasks.

Exp Brain Res

Laboratoire TIMC, Equipe Santé Plasticité Motricité, UMR CNRS 5525, UFR APS, Université Joseph Fourier, BP 53 X, 38 041 Grenoble Cedex, France.

Published: May 2007

This study examined age-related differences in the coordinative mechanism of the reach-to-grasp movement in three groups of children aged 6, 8, and 11 year, and in healthy adults. Three prehension conditions were manipulated: an unimanual and a bimanual self-driven tasks in which the reaching and grasping of the object were performed by participants, and a bimanual externally-driven task, in which the experimenter brought the object into the vicinity of the participant which grasped it. Classical kinematics data-peak velocities of the reaching and the grasping, the time to onset grip opening, maximum grip opening and grip closure-were calculated. Moreover, to obtain equivalent kinematics variables for all age groups, relative time to peak velocity (% of reaching duration), relative maximum grip opening (% of object size), and percentage of the four types of phase plans between reaching velocity and grip size have been calculated for each group of age. Our main results showed (1) a high variability at age 6, (2) an age-related change between the 6- and 8-year old for almost all of the dependent variables, and (3) a significant difference between the 11-year olds and adults. In summary, at 6 years, the interdependence between the reaching and grasping programs was unstable. A transitory feedback-based coordination between reaching and grasping appeared at 8 years of age. Finally, the adults' relationship between reaching and grasping was not attained at the age of 11.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00221-006-0762-6DOI Listing

Publication Analysis

Top Keywords

reaching grasping
24
grip opening
12
age-related differences
8
reaching
8
unimanual bimanual
8
maximum grip
8
grasping
6
grip
5
age
5
differences reaching
4

Similar Publications

Humans adjust their movement to changing environments effortlessly via multisensory integration of the effector's state, motor commands, and sensory feedback. It is postulated that frontoparietal (FP) networks are involved in the control of prehension, with dorsomedial (DM) and dorsolateral (DL) regions processing the reach and the grasp, respectively. This study tested (5F, 5M participants) the differential involvement of FP nodes (ventral premotor cortex - PMv, dorsal premotor cortex - PMd, anterior intraparietal sulcus - aIPS, and anterior superior parietal-occipital cortex - aSPOC) in online adjustments of reach-to-grasp coordination to mechanical perturbations that disrupted arm transport.

View Article and Find Full Text PDF

Objectives: There are no studies examining the prevalence of social frailty and associated factors in low- and middle-income countries. This study aimed to assess the prevalence of social frailty and identify the contributing factors among older adults in Türkiye.

Methods: This cross-sectional study included 570 participants aged 65 and older, all outpatients at a geriatric clinic.

View Article and Find Full Text PDF

Previous research has shown that organic food labeling may lead consumers to biased processing of their preferences, the physiological mechanisms behind this phenomenon are not understood. For the first time, this manuscript combines consumer valuation and physiological measures to investigate the explicit and implicit preference dimensions of organic food. The explicit dimension was measured using the expected and actual degree of liking of two identical - but differently labeled - pear juices (organic and non-organic) while the implicit dimension was measured using the activity of the mylohyoid muscle (MM) and the 3D kinematics of the hand, and arm movements.

View Article and Find Full Text PDF

Recently, aerial manipulations are becoming more and more important for the practical applications of unmanned aerial vehicles (UAV) to choose, transport, and place objects in global space. In this paper, an aerial manipulation system consisting of a UAV, two onboard cameras, and a multi-fingered robotic hand with proximity sensors is developed. To achieve self-contained autonomous navigation to a targeted object, onboard tracking and depth cameras are used to detect the targeted object and to control the UAV to reach the target object, even in a Global Positioning System-denied environment.

View Article and Find Full Text PDF

Objective. Assistive robots can be developed to restore or provide more autonomy for individuals with motor impairments. In particular, power wheelchairs can compensate lower-limb impairments, while robotic manipulators can compensate upper-limbs impairments.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!