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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

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

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
Katso/Avaa
Silver2022_Article_PrenatalAndEarly-lifeEnvironme.pdf (979.4Kb)
Lataukset: 

SPRINGER
doi:10.1007/s11682-022-00679-w
URI
https://link.springer.com/article/10.1007/s11682-022-00679-w
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2022091258660
Tiivistelmä
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.
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