About this Research Topic
Human behaviour is formed and emerges from the coordinated communication between the activity of central networks and transmission to muscle effectors. Progressive fine tuning of frequency coding and stabilisation of dynamic properties within and between corticospinal networks occurs during adolescence, refining the capacity for efficient dynamic communication in adulthood. In later life, there is an attenuation of tuning between the networks and a breakdown in their integration. The fine tuning of the central networks, which depends on the continuous integration of sensory influxes with the programming and executive activities within the feedback circuits, corresponds to spectral profiles at the muscle level. They are muscle-specific, robust on short, intermediate and large time scales, universal across subjects and characterised by a muscle-specific developmental pathway with the accumulation of fatigue and ageing.
In the present issue, a deeper understanding of the cortico-muscular synchronisations in the central and muscular component and their interaction will provide insight into how specific coupling characteristics are modulated by age, autonomic regulation in different physiological states and chronic fatigue. Particular attention will be paid to the identification of state and synchronisation measures specific to complex systems, in order to capture the richness of information transfer expressed in the patterns exchanged between the various nodes of the network, and their sensitivity to different behavioural and structural conditions, in particular dominance of manual control networks.
We will focus on developing novel analytic and computational methods within the network physiology framework, as well as applications to clinical conditions such as multiple sclerosis, muscle dystrophy, neurodegenerative disorders such as Parkinson’s and Alzheimer’s, sports trauma and injuries.
This Research Topic was formed in collaboration with the Third International Summer Institute of Network Physiology (ISINP 2022).
In the present issue, a deeper understanding of the cortico-muscular synchronisations in the central and muscular component and their interaction will provide insight into how specific coupling characteristics are modulated by age, autonomic regulation in different physiological states and chronic fatigue. Particular attention will be paid to the identification of state and synchronisation measures specific to complex systems, in order to capture the richness of information transfer expressed in the patterns exchanged between the various nodes of the network, and their sensitivity to different behavioural and structural conditions, in particular dominance of manual control networks.
We will focus on developing novel analytic and computational methods within the network physiology framework, as well as applications to clinical conditions such as multiple sclerosis, muscle dystrophy, neurodegenerative disorders such as Parkinson’s and Alzheimer’s, sports trauma and injuries.
This Research Topic was formed in collaboration with the Third International Summer Institute of Network Physiology (ISINP 2022).
Keywords: brain-muscular synchronizations, maturation, electroencephalography, electromyography, fatigue, feedback, plasticity, sleep, network physiology, sensorimotor control
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