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Prenatal maternal depressive symptoms are associated with neonatal left amygdala microstructure in a sex-dependent way

Hashempour N; Tuulari JJ; Merisaari H; Acosta H; Lewis JD; Pelto J; Scheinin NM; Fonov VS; Collins DL; Lehtola SJ; Saunavaara J; Lähdesmäki T; Parkkola R; Karlsson L; Karlsson H

Prenatal maternal depressive symptoms are associated with neonatal left amygdala microstructure in a sex-dependent way

Hashempour N
Tuulari JJ
Merisaari H
Acosta H
Lewis JD
Pelto J
Scheinin NM
Fonov VS
Collins DL
Lehtola SJ
Saunavaara J
Lähdesmäki T
Parkkola R
Karlsson L
Karlsson H
Katso/Avaa
Eur J of Neuroscience - 2023 - Hashempour.pdf (1.816Mb)
Lataukset: 

WILEY
doi:10.1111/ejn.15989
URI
https://doi.org/10.1111/ejn.15989
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2025082787329
Tiivistelmä
Exposures to prenatal maternal depressive symptoms (PMDS) may lead to neurodevelopmental changes in the offspring in a sex-dependent way. Although a connection between PMDS and infant brain development has been established by earlier studies, the relationship between PMDS exposures measured at various prenatal stages and microstructural alterations in fundamental subcortical structures such as the amygdala remains unknown. In this study, we investigated the associations between PMDS measured during gestational weeks 14, 24 and 34 and infant amygdala microstructural properties using diffusion tensor imaging. We explored amygdala mean diffusivity (MD) alterations in response to PMDS in infants aged 11 to 54 days from birth. PMDS had no significant main effect on the amygdala MD metrics. However, there was a significant interaction effect for PMDS and infant sex in the left amygdala MD. Compared with girls, boys exposed to greater PMDS during gestational week 14 showed significantly higher left amygdala MD. These results indicate that PMDS are linked to infants' amygdala microstructure in boys. These associations may be relevant to later neuropsychiatric outcomes in the offspring. Further research is required to better understand the mechanisms underlying these associations and to develop effective interventions to counteract any potential adverse consequences.
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