Literature DB >> 35869382

Prenatal and early-life environmental factors, family demographics and cortical brain anatomy in 5-year-olds: an MRI study from FinnBrain Birth Cohort.

Elmo P Pulli1, Eeva-Leena Kataja1,2, Venla Kumpulainen1, Anni Copeland1, Eero Silver3, Ekaterina Saukko4, Jani Saunavaara5, Harri Merisaari4, Tuire Lähdesmäki1,6, Riitta Parkkola1,7, Linnea Karlsson1,8,9,10, Hasse Karlsson1,8,9, Jetro J Tuulari1,9,11.   

Abstract

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.
© 2022. The Author(s).

Entities:  

Keywords:  Brain; Child; Cortical development; MRI

Mesh:

Year:  2022        PMID: 35869382      PMCID: PMC9581828          DOI: 10.1007/s11682-022-00679-w

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.224


  39 in total

1.  Investigation of brain structure in the 1-month infant.

Authors:  Douglas C Dean; E M Planalp; W Wooten; C K Schmidt; S R Kecskemeti; C Frye; N L Schmidt; H H Goldsmith; A L Alexander; R J Davidson
Journal:  Brain Struct Funct       Date:  2018-01-05       Impact factor: 3.270

2.  Environmental Influences on Infant Cortical Thickness and Surface Area.

Authors:  Shaili C Jha; Kai Xia; Mihye Ahn; Jessica B Girault; Gang Li; Li Wang; Dinggang Shen; Fei Zou; Hongtu Zhu; Martin Styner; John H Gilmore; Rebecca C Knickmeyer
Journal:  Cereb Cortex       Date:  2019-03-01       Impact factor: 5.357

3.  Test-retest reliability of Diffusion Tensor Imaging metrics in neonates.

Authors:  Harri Merisaari; Jetro J Tuulari; Linnea Karlsson; Noora M Scheinin; Riitta Parkkola; Jani Saunavaara; Tuire Lähdesmäki; Satu J Lehtola; Maria Keskinen; John D Lewis; Alan C Evans; Hasse Karlsson
Journal:  Neuroimage       Date:  2019-04-25       Impact factor: 6.556

4.  Cohort Profile: The FinnBrain Birth Cohort Study (FinnBrain).

Authors:  Linnea Karlsson; Mimmi Tolvanen; Noora M Scheinin; Henna-Maria Uusitupa; Riikka Korja; Eeva Ekholm; Jetro J Tuulari; Marjukka Pajulo; Minna Huotilainen; Tiina Paunio; Hasse Karlsson
Journal:  Int J Epidemiol       Date:  2018-02-01       Impact factor: 7.196

5.  Prenatal Cannabis and Tobacco Exposure in Relation to Brain Morphology: A Prospective Neuroimaging Study in Young Children.

Authors:  Hanan El Marroun; Henning Tiemeier; Ingmar H A Franken; Vincent W V Jaddoe; Aad van der Lugt; Frank C Verhulst; Benjamin B Lahey; Tonya White
Journal:  Biol Psychiatry       Date:  2015-09-01       Impact factor: 13.382

Review 6.  Prenatal exposures and infant brain: Review of magnetic resonance imaging studies and a population description analysis.

Authors:  Elmo P Pulli; Venla Kumpulainen; Jussi H Kasurinen; Riikka Korja; Harri Merisaari; Linnea Karlsson; Riitta Parkkola; Jani Saunavaara; Tuire Lähdesmäki; Noora M Scheinin; Hasse Karlsson; Jetro J Tuulari
Journal:  Hum Brain Mapp       Date:  2018-11-19       Impact factor: 5.038

7.  Dynamic Development of Regional Cortical Thickness and Surface Area in Early Childhood.

Authors:  Amanda E Lyall; Feng Shi; Xiujuan Geng; Sandra Woolson; Gang Li; Li Wang; Robert M Hamer; Dinggang Shen; John H Gilmore
Journal:  Cereb Cortex       Date:  2014-03-02       Impact factor: 5.357

Review 8.  Advanced maternal age. Part II: long-term consequences.

Authors:  Anwar H Nassar; Ihab M Usta
Journal:  Am J Perinatol       Date:  2008-11-19       Impact factor: 1.862

9.  Feasibility of FreeSurfer Processing for T1-Weighted Brain Images of 5-Year-Olds: Semiautomated Protocol of FinnBrain Neuroimaging Lab.

Authors:  Elmo P Pulli; Eero Silver; Venla Kumpulainen; Anni Copeland; Harri Merisaari; Jani Saunavaara; Riitta Parkkola; Tuire Lähdesmäki; Ekaterina Saukko; Saara Nolvi; Eeva-Leena Kataja; Riikka Korja; Linnea Karlsson; Hasse Karlsson; Jetro J Tuulari
Journal:  Front Neurosci       Date:  2022-05-02       Impact factor: 4.677

10.  Cortical morphological markers in children with autism: a structural magnetic resonance imaging study of thickness, area, volume, and gyrification.

Authors:  Daniel Y-J Yang; Danielle Beam; Kevin A Pelphrey; Sebiha Abdullahi; Roger J Jou
Journal:  Mol Autism       Date:  2016-01-25       Impact factor: 7.509

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