A multi-level analysis of motor and behavioural dynamics in 9-month-old preterm and term-born infants during changing emotional and interactive contexts

Abstract Computational analysis of infant movement has significant potential to reveal markers of developmental health. We report two studies employing dynamic analyses of motor kinematics and motor behaviours, which characterise movement at two levels, in 9-month-old infants. We investigate the eff...

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Main Authors: Yu Wei Chua, Lorena Jiménez-Sánchez, Victoria Ledsham, Sinéad O’Carroll, Ralf F. A. Cox, Ivan Andonovic, Christos Tachtatzis, James P. Boardman, Sue Fletcher-Watson, Philip Rowe, Jonathan Delafield-Butt
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Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-83194-w
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author Yu Wei Chua
Lorena Jiménez-Sánchez
Victoria Ledsham
Sinéad O’Carroll
Ralf F. A. Cox
Ivan Andonovic
Christos Tachtatzis
James P. Boardman
Sue Fletcher-Watson
Philip Rowe
Jonathan Delafield-Butt
author_facet Yu Wei Chua
Lorena Jiménez-Sánchez
Victoria Ledsham
Sinéad O’Carroll
Ralf F. A. Cox
Ivan Andonovic
Christos Tachtatzis
James P. Boardman
Sue Fletcher-Watson
Philip Rowe
Jonathan Delafield-Butt
author_sort Yu Wei Chua
collection DOAJ
description Abstract Computational analysis of infant movement has significant potential to reveal markers of developmental health. We report two studies employing dynamic analyses of motor kinematics and motor behaviours, which characterise movement at two levels, in 9-month-old infants. We investigate the effect of preterm birth (< 33 weeks of gestation) and the effect of changing emotional and social-interactive contexts in the still-face paradigm. First, multiscale permutation entropy was employed to analyse acceleration kinematic timeseries data collected from Inertial Measurement Unit (IMU) sensors on infants’ torso, wrists, and ankles (N = 32: 10 term; 22 preterm). Second, Recurrence Quantification Analysis was used to characterise patterns of second-to-second behavioural changes, from observationally coded behavioural timeseries on infants’ emotional self-regulation (N = 111: 61 term; 50 preterm). We found frequency-specific effects of context on permutation entropy. Relative to infants born at term (> 37 weeks of gestation), infants born preterm showed greater permutation entropy in their left ankle and torso movements, but not in right ankle or wrist movements. We did not find effects of preterm birth or emotional context on micro-level behavioural dynamics. Our methodology and findings inform future work using multiscale entropy to study infant development. Dynamic analysis of behaviour is a relatively young field, and applications to emotional self-regulation requires further methodological development.
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spelling doaj-art-fa676fa630e74b99968abb871132a8342025-01-12T12:20:10ZengNature PortfolioScientific Reports2045-23222025-01-0115111910.1038/s41598-024-83194-wA multi-level analysis of motor and behavioural dynamics in 9-month-old preterm and term-born infants during changing emotional and interactive contextsYu Wei Chua0Lorena Jiménez-Sánchez1Victoria Ledsham2Sinéad O’Carroll3Ralf F. A. Cox4Ivan Andonovic5Christos Tachtatzis6James P. Boardman7Sue Fletcher-Watson8Philip Rowe9Jonathan Delafield-Butt10Strathclyde Institute of Education, University of StrathclydeTranslational Neuroscience PhD Programme, Salvesen Mindroom Research Centre, The University of EdinburghCentre for Reproductive Health, Institute for Regeneration and Repair, University of EdinburghCentre for Reproductive Health, Institute for Regeneration and Repair, University of EdinburghDepartment of Psychology, University of GroningenLaboratory for Innovation in Autism, University of StrathclydeLaboratory for Innovation in Autism, University of StrathclydeCentre for Reproductive Health, Institute for Regeneration and Repair, University of EdinburghSalvesen Mindroom Research Centre, The University of EdinburghLaboratory for Innovation in Autism, University of StrathclydeStrathclyde Institute of Education, University of StrathclydeAbstract Computational analysis of infant movement has significant potential to reveal markers of developmental health. We report two studies employing dynamic analyses of motor kinematics and motor behaviours, which characterise movement at two levels, in 9-month-old infants. We investigate the effect of preterm birth (< 33 weeks of gestation) and the effect of changing emotional and social-interactive contexts in the still-face paradigm. First, multiscale permutation entropy was employed to analyse acceleration kinematic timeseries data collected from Inertial Measurement Unit (IMU) sensors on infants’ torso, wrists, and ankles (N = 32: 10 term; 22 preterm). Second, Recurrence Quantification Analysis was used to characterise patterns of second-to-second behavioural changes, from observationally coded behavioural timeseries on infants’ emotional self-regulation (N = 111: 61 term; 50 preterm). We found frequency-specific effects of context on permutation entropy. Relative to infants born at term (> 37 weeks of gestation), infants born preterm showed greater permutation entropy in their left ankle and torso movements, but not in right ankle or wrist movements. We did not find effects of preterm birth or emotional context on micro-level behavioural dynamics. Our methodology and findings inform future work using multiscale entropy to study infant development. Dynamic analysis of behaviour is a relatively young field, and applications to emotional self-regulation requires further methodological development.https://doi.org/10.1038/s41598-024-83194-wMultiscale entropyPermutation entropyRecurrence quantification analysisPreterm birthSensorsBehavioural micro-analysis
spellingShingle Yu Wei Chua
Lorena Jiménez-Sánchez
Victoria Ledsham
Sinéad O’Carroll
Ralf F. A. Cox
Ivan Andonovic
Christos Tachtatzis
James P. Boardman
Sue Fletcher-Watson
Philip Rowe
Jonathan Delafield-Butt
A multi-level analysis of motor and behavioural dynamics in 9-month-old preterm and term-born infants during changing emotional and interactive contexts
Scientific Reports
Multiscale entropy
Permutation entropy
Recurrence quantification analysis
Preterm birth
Sensors
Behavioural micro-analysis
title A multi-level analysis of motor and behavioural dynamics in 9-month-old preterm and term-born infants during changing emotional and interactive contexts
title_full A multi-level analysis of motor and behavioural dynamics in 9-month-old preterm and term-born infants during changing emotional and interactive contexts
title_fullStr A multi-level analysis of motor and behavioural dynamics in 9-month-old preterm and term-born infants during changing emotional and interactive contexts
title_full_unstemmed A multi-level analysis of motor and behavioural dynamics in 9-month-old preterm and term-born infants during changing emotional and interactive contexts
title_short A multi-level analysis of motor and behavioural dynamics in 9-month-old preterm and term-born infants during changing emotional and interactive contexts
title_sort multi level analysis of motor and behavioural dynamics in 9 month old preterm and term born infants during changing emotional and interactive contexts
topic Multiscale entropy
Permutation entropy
Recurrence quantification analysis
Preterm birth
Sensors
Behavioural micro-analysis
url https://doi.org/10.1038/s41598-024-83194-w
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