ArticleFrontiers in pediatrics2016
Neonatal Diagnostics: Toward Dynamic Growth Charts of Neuromotor Control.
Article in Frontiers in pediatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
22 citing papers in PubMed.
- Characterizing infant leg movements using 72-h wearable sensor data: Descriptive analysis from a large, heterogenous sample of infants 0-2 months of age from the HEALthy Brain and Child Development Study.Infant behavior & development · 2026Article
- Extracting Sensory Preferability from Motor Streams.Sensors (Basel, Switzerland) · 2025Article
- Associating neuromotor outcomes at 12 months with wearable sensor measures collected during early infancy in rural Guatemala.Gait & posture · 2024Article
- Digital screener of socio-motor agency balancing motor autonomy and motor control.Frontiers in human neuroscience · 2024Article
- From fixing to connecting-developing mutual empathy guided through movement as a novel path for the discovery of better outcomes in autism.Frontiers in integrative neuroscience · 2024Article
- Sensing echoes: temporal misalignment in auditory brainstem responses as the earliest marker of neurodevelopmental derailment.PNAS nexus · 2023Article
- Infants on the move: bibliometric analyses of observational vs. digital means of screening infant development.Frontiers in integrative neuroscience · 2023Article
- The time is ripe for the renaissance of autism treatments: evidence from clinical practitioners.Frontiers in integrative neuroscience · 2023Article
- Developmental differences in the prospective organisation of goal-directed movement between children with autism and typically developing children: A smart tablet serious game study.Developmental science · 2022Article
- Rethinking statistical learning as a continuous dynamic stochastic process, from the motor systems perspective.Frontiers in neuroscience · 2022Article
- Digitized Autism Observation Diagnostic Schedule: Social Interactions beyond the Limits of the Naked Eye.Journal of personalized medicine · 2020Article
- Reliability and accuracy of EEG interpretation for estimating age in preterm infants.Annals of clinical and translational neurology · 2020Article
- The Autonomic Nervous System Differentiates between Levels of Motor Intent and End Effector.Journal of personalized medicine · 2020Article
- Aging with Autism Departs Greatly from Typical Aging.Sensors (Basel, Switzerland) · 2020Article
- Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors.Scientific reports · 2020Article
- Age-Dependent Statistical Changes of Involuntary Head Motion Signatures Across Autism and Controls of the ABIDE Repository.Frontiers in integrative neuroscience · 2020Article
- Wearables for Pediatric Rehabilitation: How to Optimally Design and Use Products to Meet the Needs of Users.Physical therapy · 2019Article
- Peripheral Network Connectivity Analyses for the Real-Time Tracking of Coupled Bodies in Motion.Sensors (Basel, Switzerland) · 2018Article
- Statistical Platform for Individualized Behavioral Analyses Using Biophysical Micro-Movement Spikes.Sensors (Basel, Switzerland) · 2018Article
- Developmental Trajectories of Hand Movements in Typical Infants and Those at Risk of Developmental Disorders: An Observational Study of Kinematics during the First Year of Life.Frontiers in psychology · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.