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Echoes of Early Life: Recent Insights From Mathematical Modeling
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 t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6175464/ https://www.ncbi.nlm.nih.gov/pubmed/29947096 http://dx.doi.org/10.1111/cdev.13108 |
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author | Frankenhuis, Willem E. Nettle, Daniel McNamara, John M. |
author_facet | Frankenhuis, Willem E. Nettle, Daniel McNamara, John M. |
author_sort | Frankenhuis, Willem E. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6175464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-61754642018-10-19 Echoes of Early Life: Recent Insights From Mathematical Modeling Frankenhuis, Willem E. Nettle, Daniel McNamara, John M. Child Dev Reviews 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. John Wiley and Sons Inc. 2018-06-26 2018 /pmc/articles/PMC6175464/ /pubmed/29947096 http://dx.doi.org/10.1111/cdev.13108 Text en © 2018 The Authors. Child Development published by Wiley Periodicals, Inc. on behalf of Society for Research in Child Development. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Reviews Frankenhuis, Willem E. Nettle, Daniel McNamara, John M. Echoes of Early Life: Recent Insights From Mathematical Modeling |
title | Echoes of Early Life: Recent Insights From Mathematical Modeling |
title_full | Echoes of Early Life: Recent Insights From Mathematical Modeling |
title_fullStr | Echoes of Early Life: Recent Insights From Mathematical Modeling |
title_full_unstemmed | Echoes of Early Life: Recent Insights From Mathematical Modeling |
title_short | Echoes of Early Life: Recent Insights From Mathematical Modeling |
title_sort | echoes of early life: recent insights from mathematical modeling |
topic | Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6175464/ https://www.ncbi.nlm.nih.gov/pubmed/29947096 http://dx.doi.org/10.1111/cdev.13108 |
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