Echoes of Early Life: Recent Insights From Mathematical Modeling

Willem E. Frankenhuis; Daniel Nettle; John M. McNamara

doi:10.1111/cdev.13108

Echoes of Early Life: Recent Insights From Mathematical Modeling

Willem E. Frankenhuis^*, Daniel Nettle, John M. McNamara

^*Corresponding author for this work

Research output: Contribution to journal › Review article (Academic Journal) › peer-review

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Abstract

In the last decades, developmental origins of health and disease (DOHaD) has emerged as a central framework for studying early-life effects, that is, the impact of fetal and early postnatal experience on adult functioning. Apace with empirical progress, theoreticians have built mathematical models that provide novel insights for DOHaD. This article focuses on three of these insights, which show the power of environmental noise (i.e., imperfect indicators of current and future conditions) in shaping development. Such noise can produce: (a) detrimental outcomes even in ontogenetically stable environments, (b) individual differences in sensitive periods, and (c) early-life effects tailored to predicted future somatic states. We argue that these insights extend DOHaD and offer new research directions.

Original language	English
Pages (from-to)	1504-1518
Number of pages	15
Journal	Child Development
Volume	89
Issue number	5
Early online date	26 Jun 2018
DOIs	https://doi.org/10.1111/cdev.13108 https://doi.org/10.1111/cdev.13108
Publication status	Published - 1 Sept 2018

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title = "Echoes of Early Life: Recent Insights From Mathematical Modeling",

abstract = "In the last decades, developmental origins of health and disease (DOHaD) has emerged as a central framework for studying early-life effects, that is, the impact of fetal and early postnatal experience on adult functioning. Apace with empirical progress, theoreticians have built mathematical models that provide novel insights for DOHaD. This article focuses on three of these insights, which show the power of environmental noise (i.e., imperfect indicators of current and future conditions) in shaping development. Such noise can produce: (a) detrimental outcomes even in ontogenetically stable environments, (b) individual differences in sensitive periods, and (c) early-life effects tailored to predicted future somatic states. We argue that these insights extend DOHaD and offer new research directions.",

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AU - Frankenhuis, Willem E.

AU - Nettle, Daniel

AU - McNamara, John M.

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N2 - In the last decades, developmental origins of health and disease (DOHaD) has emerged as a central framework for studying early-life effects, that is, the impact of fetal and early postnatal experience on adult functioning. Apace with empirical progress, theoreticians have built mathematical models that provide novel insights for DOHaD. This article focuses on three of these insights, which show the power of environmental noise (i.e., imperfect indicators of current and future conditions) in shaping development. Such noise can produce: (a) detrimental outcomes even in ontogenetically stable environments, (b) individual differences in sensitive periods, and (c) early-life effects tailored to predicted future somatic states. We argue that these insights extend DOHaD and offer new research directions.

AB - In the last decades, developmental origins of health and disease (DOHaD) has emerged as a central framework for studying early-life effects, that is, the impact of fetal and early postnatal experience on adult functioning. Apace with empirical progress, theoreticians have built mathematical models that provide novel insights for DOHaD. This article focuses on three of these insights, which show the power of environmental noise (i.e., imperfect indicators of current and future conditions) in shaping development. Such noise can produce: (a) detrimental outcomes even in ontogenetically stable environments, (b) individual differences in sensitive periods, and (c) early-life effects tailored to predicted future somatic states. We argue that these insights extend DOHaD and offer new research directions.

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JO - Child Development

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Echoes of Early Life: Recent Insights From Mathematical Modeling

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