Maternal prenatal distress exposure negatively associates with the stability of neonatal frontoparietal network

dc.contributor.authorTuulari Jetro J.
dc.contributor.authorRajasilta Olli
dc.contributor.authorCabral Joana
dc.contributor.authorKringelbach Morten L.
dc.contributor.authorKarlsson Linnea
dc.contributor.authorKarlsson Hasse
dc.contributor.organizationfi=psykiatria|en=Psychiatry|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organizationfi=väestötutkimuskeskus|en=Centre for Population Health Research (POP Centre)|
dc.contributor.organization-code1.2.246.10.2458963.20.16217176722
dc.contributor.organization-code1.2.246.10.2458963.20.42471027641
dc.contributor.organization-code2607008
dc.converis.publication-id182188828
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/182188828
dc.date.accessioned2025-08-28T03:40:09Z
dc.date.available2025-08-28T03:40:09Z
dc.description.abstract<p>Maternal prenatal distress (PD), frequently defined as <em>in utero</em> prenatal stress exposure (PSE) to the developing fetus, influences the developing brain and numerous associations between PSE and brain structure have been described both in neonates and in older children. Previous studies addressing PSE-linked alterations in neonates’ brain activity have focused on connectivity analyses from predefined seed regions, but the effects of PSE at the level of distributed functional networks remains unclear. In this study, we investigated the impact of prenatal distress on the spatial and temporal properties of functional networks detected in functional MRI data from 20 naturally sleeping, term-born (age 25.85 ± 7.72 days, 11 males), healthy neonates. First, we performed group level independent component analysis (GICA) to evaluate an association between PD and the identified functional networks. Second, we searched for an association with PD at the level of the stability of functional networks over time using leading eigenvector dynamics analysis (LEiDA). No statistically significant associations were detected at the spatial level for the GICA-derived networks. However, at the dynamic level, LEiDA revealed that maternal PD negatively associated with the stability of a frontoparietal network. These results imply that maternal PD may influence the stability of frontoparietal connections in neonatal brain network dynamics and adds to the cumulating evidence that frontal areas are especially sensitive to PSE. We advocate for early preventive intervention strategies regarding pregnant mothers. Nevertheless, future research venues are required to assess optimal intervention timing and methods for maximum benefit.<br></p>
dc.identifier.eissn1607-8888
dc.identifier.jour-issn1025-3890
dc.identifier.olddbid210978
dc.identifier.oldhandle10024/194005
dc.identifier.urihttps://www.utupub.fi/handle/11111/56823
dc.identifier.urlhttps://www.tandfonline.com/doi/full/10.1080/10253890.2023.2275207
dc.identifier.urnURN:NBN:fi-fe2025082792799
dc.language.isoen
dc.okm.affiliatedauthorTuulari, Jetro
dc.okm.affiliatedauthorRajasilta, Olli
dc.okm.affiliatedauthorKarlsson, Linnea
dc.okm.affiliatedauthorKarlsson, Hasse
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3123 Gynaecology and paediatricsen_GB
dc.okm.discipline3124 Neurology and psychiatryen_GB
dc.okm.discipline515 Psychologyen_GB
dc.okm.discipline3123 Naisten- ja lastentauditfi_FI
dc.okm.discipline3124 Neurologia ja psykiatriafi_FI
dc.okm.discipline515 Psykologiafi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherTaylor & Francis
dc.publisher.countryLuxembourgen_GB
dc.publisher.countryLuxemburgfi_FI
dc.publisher.country-codeLU
dc.relation.articlenumber2275207
dc.relation.doi10.1080/10253890.2023.2275207
dc.relation.ispartofjournalStress
dc.relation.issue1
dc.relation.volume27
dc.source.identifierhttps://www.utupub.fi/handle/10024/194005
dc.titleMaternal prenatal distress exposure negatively associates with the stability of neonatal frontoparietal network
dc.year.issued2024

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