Motor Development – Dynamic Systems Theory – Flashcards
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Movement is _____________, involves coupling of degrees of freedom - muscles and neuropathways to to achieve functional outcome.
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Multifactorial Movement
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Environment - Child with CP has same nervous system but can perform better riding a horse compared to walking (or not walking) on land.
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How is Hippo therapy an example of emerging movement patterns?
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Degrees of freedom Self organizing behavior Stability/Instability (sign of learning, indicates change) Phase transitions Order parameters Control parameter
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Language Concepts of Dynamic Systems
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Stability - Patient post stroke, walks with hyperextended and circumducted gait Instability - change environment or task constraints (pool, treadmill) Leads to more variability - exploring more ways of performing movement (Good)
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Example of Stability/Instability
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Aspect of movement that is required to be control Constrain stroke patient at knee with AFO and assess whether new gait pattern holds without brace
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Degrees of freedom
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Order - that which defines the task (Walking) Control - that which changes the task (water, treadmill, obstacles)
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Order Parameters/Control Parameters
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- Necessary and permissive conditions TM walking in infants (Thelen, Ulrich) Kitten walking & paw shake (Bradley) Chicks hatching (Bekoff) Frog locomotion (Stehouwer)
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Effects of context (Enviornment) on Emergence of Behavior
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Exhibit periods of STABILITY and INSTABILITY Stable - preferred patterns of movement Change of pattern is characterized by instability Skill acquisition is a series of stable and unstable states and phase transitions During instability the "system" explores new coordination modes or solutions Small forces or changes can have a large effect on behavior - non linear effects Examples: Infant locomotion progression, improving golf swing, playing an instrument, others
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Behavior of Dynamic System
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Occurs during periods of exploration or instability Variability forces exploration of new solutions Exploration and selection are key elements to learning Examples Jolly Jumper (Goldfeld) Mobile (Rovee-Collier)
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Variability applied to Infant Learning
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Is there one variable that defines the movement? What makes walking walking? What would you measure that you know it is walking. In phase/ out of phase example
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Order Parameters (Questions)
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Characteristics of the movement Lowest dimension that defines the dynamic state Example: phase relationship of lower limb segments is the order parameter for gait, jumping, skipping, etc. (Kurz, 2004) Example: think of a trotting horse and a galloping horse Others
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Order Parameters
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One parameter in the system can change stable behavior by increasing variability/producing instability and force change in behavior. Bifurcation. A situation where a very small increase or decrease in the value of some parameter controlling the system causes it to change rather abruptly from one type of behavior to another
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Control Parameters
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Gait velocity - obstacle height, change in support surface Growth - segment length, mass, and distribution Sensory development or degradation - vision, perception etc. Experience - task and environment Practice - amount and variability Environment - adequate and permissive conditions
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Control Parameters (Examples)
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Freeze Degrees of Freedom Release Degrees of Freedom with increase skill Example: Stroke patient with circumduction gait
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Skill Learning
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Variability is a sign of adaptability Adaptability is a sign of health Disease typically decreases complexity (CHF, stroke, CP) Variability of breathing pattern (ApEn) has been used to evaluate risk for SIDS Seizures
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Healthy Systems (Variability)
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Many muscle synergies used at 3-4 months Predominant synergies emerged at 4-6 months of age (Harbourne and Giuliani) Children acquire independent sitting with environmental conditions Effects of environment on emergent behaviors Effects of practice on sitting patterns (Scalise-Smith and Giuliani)
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Emerging Sitting Balance
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1. Lyapunov exponent (LyE): measurement of instability Instability indicates learning a new behavior (Harbourne, 2003) Instability as pathology (Buzzi, 2003) Larger values indicate less organized (increased instability) 2. Approximate Entropy (ApEn): Measurement of complexity, used with time series data Larger values indicate increased complexity
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Measurements in Dynamics
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