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Prenatal and early-life environmental factors, family demographics and cortical brain anatomy in 5-year-olds: an MRI study from FinnBrain Birth Cohort
The human brain develops dynamically during early childhood, when the child is sensitive to both genetic programming and extrinsic exposures. Recent studies have found links between prenatal and early life environmental factors, family demographics and the cortical brain morphology in newborns measu...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581828/ https://www.ncbi.nlm.nih.gov/pubmed/35869382 http://dx.doi.org/10.1007/s11682-022-00679-w |
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author | Silver, Eero Pulli, Elmo P. Kataja, Eeva-Leena Kumpulainen, Venla Copeland, Anni Saukko, Ekaterina Saunavaara, Jani Merisaari, Harri Lähdesmäki, Tuire Parkkola, Riitta Karlsson, Linnea Karlsson, Hasse Tuulari, Jetro J. |
author_facet | Silver, Eero Pulli, Elmo P. Kataja, Eeva-Leena Kumpulainen, Venla Copeland, Anni Saukko, Ekaterina Saunavaara, Jani Merisaari, Harri Lähdesmäki, Tuire Parkkola, Riitta Karlsson, Linnea Karlsson, Hasse Tuulari, Jetro J. |
author_sort | Silver, Eero |
collection | PubMed |
description | The human brain develops dynamically during early childhood, when the child is sensitive to both genetic programming and extrinsic exposures. Recent studies have found links between prenatal and early life environmental factors, family demographics and the cortical brain morphology in newborns measured by surface area, volume and thickness. Here in this magnetic resonance imaging study, we evaluated whether a similar set of variables associates with cortical surface area and volumes measured in a sample of 170 healthy 5-year-olds from the FinnBrain Birth Cohort Study. We found that child sex, maternal pre-pregnancy body mass index, 5 min Apgar score, neonatal intensive care unit admission and maternal smoking during pregnancy associated with surface areas. Furthermore, child sex, maternal age and maternal level of education associated with brain volumes. Expectedly, many variables deemed important for neonatal brain anatomy (such as birth weight and gestational age at birth) in earlier studies did not associate with brain metrics in our study group of 5-year-olds, which implies that their effects on brain anatomy are age-specific. Future research may benefit from including pre- and perinatal covariates in the analyses when such data are available. Finally, we provide evidence for right lateralization for surface area and volumes, except for the temporal lobes which were left lateralized. These subtle differences between hemispheres are variable across individuals and may be interesting brain metrics in future studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11682-022-00679-w. |
format | Online Article Text |
id | pubmed-9581828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-95818282022-10-21 Prenatal and early-life environmental factors, family demographics and cortical brain anatomy in 5-year-olds: an MRI study from FinnBrain Birth Cohort Silver, Eero Pulli, Elmo P. Kataja, Eeva-Leena Kumpulainen, Venla Copeland, Anni Saukko, Ekaterina Saunavaara, Jani Merisaari, Harri Lähdesmäki, Tuire Parkkola, Riitta Karlsson, Linnea Karlsson, Hasse Tuulari, Jetro J. Brain Imaging Behav Original Research The human brain develops dynamically during early childhood, when the child is sensitive to both genetic programming and extrinsic exposures. Recent studies have found links between prenatal and early life environmental factors, family demographics and the cortical brain morphology in newborns measured by surface area, volume and thickness. Here in this magnetic resonance imaging study, we evaluated whether a similar set of variables associates with cortical surface area and volumes measured in a sample of 170 healthy 5-year-olds from the FinnBrain Birth Cohort Study. We found that child sex, maternal pre-pregnancy body mass index, 5 min Apgar score, neonatal intensive care unit admission and maternal smoking during pregnancy associated with surface areas. Furthermore, child sex, maternal age and maternal level of education associated with brain volumes. Expectedly, many variables deemed important for neonatal brain anatomy (such as birth weight and gestational age at birth) in earlier studies did not associate with brain metrics in our study group of 5-year-olds, which implies that their effects on brain anatomy are age-specific. Future research may benefit from including pre- and perinatal covariates in the analyses when such data are available. Finally, we provide evidence for right lateralization for surface area and volumes, except for the temporal lobes which were left lateralized. These subtle differences between hemispheres are variable across individuals and may be interesting brain metrics in future studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11682-022-00679-w. Springer US 2022-07-22 2022 /pmc/articles/PMC9581828/ /pubmed/35869382 http://dx.doi.org/10.1007/s11682-022-00679-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Research Silver, Eero Pulli, Elmo P. Kataja, Eeva-Leena Kumpulainen, Venla Copeland, Anni Saukko, Ekaterina Saunavaara, Jani Merisaari, Harri Lähdesmäki, Tuire Parkkola, Riitta Karlsson, Linnea Karlsson, Hasse Tuulari, Jetro J. Prenatal and early-life environmental factors, family demographics and cortical brain anatomy in 5-year-olds: an MRI study from FinnBrain Birth Cohort |
title | Prenatal and early-life environmental factors, family demographics and cortical brain anatomy in 5-year-olds: an MRI study from FinnBrain Birth Cohort |
title_full | Prenatal and early-life environmental factors, family demographics and cortical brain anatomy in 5-year-olds: an MRI study from FinnBrain Birth Cohort |
title_fullStr | Prenatal and early-life environmental factors, family demographics and cortical brain anatomy in 5-year-olds: an MRI study from FinnBrain Birth Cohort |
title_full_unstemmed | Prenatal and early-life environmental factors, family demographics and cortical brain anatomy in 5-year-olds: an MRI study from FinnBrain Birth Cohort |
title_short | Prenatal and early-life environmental factors, family demographics and cortical brain anatomy in 5-year-olds: an MRI study from FinnBrain Birth Cohort |
title_sort | prenatal and early-life environmental factors, family demographics and cortical brain anatomy in 5-year-olds: an mri study from finnbrain birth cohort |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581828/ https://www.ncbi.nlm.nih.gov/pubmed/35869382 http://dx.doi.org/10.1007/s11682-022-00679-w |
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