Maria Brincker
University of Massachusetts, Boston
The current rise of neurodevelopmental disorders poses a critical need to detect risk early in order to rapidly intervene. One of the tools pediatricians use to track development is the standard growth chart. The growth charts are somewhat limited in predicting possible neurodevelopmental issues. They rely on linear models and assumptions of normality for physical growth data – obscuring key statistical information about possible neurodevelopmental risk in growth data that actually has accelerated, non-linear rates-of-change and variability encompassing skewed distributions. Here, we use new analytics to profile growth data from 36 newborn babies that were tracked longitudinally for 5 months. By switching to incremental (velocity-based) growth charts and combining these dynamic changes with underlying fluctuations in motor performance – as the transition from spontaneous random noise to a systematic signal – we demonstrate a method to detect very early stunting in the development of voluntary neuromotor control and to flag risk of neurodevelopmental derail.
Keywords Neurodevelopment  Motor control  Embodied Cognition  Sensorimotor learning  Methodology  Developmental psychology  stochastic analysis  Movement sensors  pediatrics  Neurodevelopmental disorders
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A Dynamic Systems Approach to the Development of Cognition and Action.David Morris, E. Thelen & L. B. Smith - 1997 - International Studies in the Philosophy of Science 11 (2).

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Why Study Movement Variability in Autism?Maria Brincker & Elizabeth Torres - 2017 - In Elizabeth Torres & Caroline Whyatt (eds.), Autism the movement-sensing approach. CRC Press - Taylor & Francis Group.

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