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Published on: June 1, 2015
Development of Locomotor-Related Movements in Early Infancy
Arthur H Dewolf1, Francesca Sylos Labini2, Yury Ivanenko2
1Department of Systems Medicine, Center of Space Biomedicine, Faculty of Medicine and Surgery, University of Rome Tor Vergata, Rome, Italy.
Insights
Early infant locomotion emerges from precursor movements, reflecting neural network development. Understanding the interaction between neural output and the body
Area of Science:
- Developmental neuroscience
- Motor control
- Infant behavior
Background:
- Locomotor skills in infancy are crucial for development.
- Early motor behaviors are highly variable but adaptable.
- Neuronal networks underpin motor pattern generation.
Purpose of the Study:
- To review the emergence of locomotor-related movements in early infancy.
- To explore precursor behaviors as indicators of neural development.
- To highlight the role of sensory-motor integration in skill acquisition.
Main Methods:
- Review of existing literature on infant locomotion.
- Analysis of precursor behaviors and their developmental significance.
- Theoretical framework integrating neural output and mechanical dynamics.
Main Results:
- Precursor movements are key to developing locomotor skills.
- Afferent information shapes motor behavior based on context.
- Variability in motor behavior is managed through adaptive processes.
Conclusions:
- Locomotion development involves complex neural and mechanical interactions.
- Closed-loop systems are essential for flexible motor pattern generation.
- Studying neonate motor control offers insights into fundamental principles of movement.
Abstract:
This mini-review focuses on the emergence of locomotor-related movements in early infancy. In particular, we consider multiples precursor behaviors of locomotion as a manifestation of the development of the neuronal networks and their link in the establishment of precocious locomotor skills. Despite the large variability of motor behavior observed in human babies, as in animals, afferent information is already processed to shape the behavior to specific situations and environments. Specifically, we argue that the closed-loop interaction between the neural output and the physical dynamics of the mechanical system should be considered to explore the complexity and flexibility of pattern generation in human and animal neonates.
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