Investigating the influence of maternal prenatal BMI and perinatal depressive symptoms on neonatal brain network dynamics

dc.contributor.authorMariani Wigley, Isabella L. C.
dc.contributor.authorLautarescu, Alexandra
dc.contributor.authorVartiainen, Elena
dc.contributor.authorPulli, Elmo P.
dc.contributor.authorHashempour, Niloofar
dc.contributor.authorMerisaari, Harri
dc.contributor.authorBano, Wajiha
dc.contributor.authorLuotonen, Silja
dc.contributor.authorJolly, Ashmeet
dc.contributor.authorSuuronen, Ilkka
dc.contributor.authorKarlsson, Linnea
dc.contributor.authorKarlsson, Hasse
dc.contributor.authorCabral, Joana
dc.contributor.authorKringelbach, Morten L.
dc.contributor.authorBatalle, Dafnis
dc.contributor.authorEdwards, A. David
dc.contributor.authorTuulari, Jetro J.
dc.contributor.organizationfi=kliininen laitos|en=Department of Clinical Medicine|
dc.contributor.organizationfi=psykiatria|en=Psychiatry|
dc.contributor.organizationfi=kansanterveystiede|en=Public Health|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organizationfi=väestötutkimuskeskus|en=Centre for Population Health Research (POP Centre)|
dc.contributor.organizationfi=logopedia|en=Speech-Language Pathology|
dc.contributor.organizationfi=kliiniset neurotieteet|en=Clinical Neurosciences|
dc.contributor.organization-code1.2.246.10.2458963.20.94792640685
dc.contributor.organization-code1.2.246.10.2458963.20.16217176722
dc.contributor.organization-code1.2.246.10.2458963.20.42471027641
dc.contributor.organization-code1.2.246.10.2458963.20.74845969893
dc.contributor.organization-code1.2.246.10.2458963.20.46679761984
dc.contributor.organization-code1.2.246.10.2458963.20.61334543354
dc.converis.publication-id508699547
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/508699547
dc.date.accessioned2026-04-24T15:49:40Z
dc.description.abstract<h3>Background</h3><p>Elevated pre-pregnancy body mass index (BMI) and perinatal depressive symptoms have been linked to neonatal alterations in brain structure and function. This study examined associations between neonatal functional brain dynamics, maternal BMI, and perinatal depressive symptoms measured by the Edinburgh Postnatal Depression Scale (EPDS) in a community-based, largely low-risk cohort.</p><h3>Methods</h3><p>Funcitonal MRI and Leading Eigenvector Analysis (LEiDA) were applied in a neonatal cohort (<em>N</em> = 437; 236 males; mean gestational age 39.6 weeks) from the developing Human Connectome Project. We assessed whether neonatal brain-state probabilities related to maternal BMI and EPDS scores (<em>M</em> = 5.6, SD = 4.3), testing main effects and, separately, their interaction. The sample included 291 healthy-weight (BMI < 25), 98 overweight (25 BMI < 30), and 48 obese (BMI 30) mothers.</p><h3>Results</h3><p>EPDS scores were low in this cohort and did not demonstrate associations with brain states or a significant BMI × EPDS interaction. Higher maternal pre-pregnancy BMI was negatively associated with the stability of a functional network encompassing superior frontal, superior parietal, and temporal regions (<em>ß</em> = −0.129, <em>p</em> = 0.006).</p><h3>Conclusion</h3><p>As this network is normally recruited more with age, reduced stability suggests slowed maturation of fronto-parieto-temporal systems and may signal early risk for later behavioral challenges.</p><h3>Impact</h3><ul><li>Higher maternal pre-pregnancy BMI is associated with reduced stability in a neonatal frontoparietal brain state, characterized by coordinated activity in frontal, parietal, and temporal regions. <br></li><li>This state is one of six distinct dynamic connectivity patterns identified, reflecting core neonatal resting-state networks.<br></li><li>The association was robust across multiple analytic models and clustering solutions.<br></li><li>No significant effects were found for maternal depressive symptoms.<br></li><li>These findings underscore the selective impact of maternal metabolic health on early brain organization, suggesting prenatal influences on the functional architecture of the newborn brain that may shape long-term neurodevelopmental trajectories.</li></ul>
dc.identifier.eissn1530-0447
dc.identifier.jour-issn0031-3998
dc.identifier.urihttps://www.utupub.fi/handle/11111/58564
dc.identifier.urlhttps://doi.org/10.1038/s41390-025-04726-2
dc.identifier.urnURN:NBN:fi-fe2026022315396
dc.language.isoen
dc.okm.affiliatedauthorMariani Wigley, Isabella
dc.okm.affiliatedauthorVartiainen, Elena
dc.okm.affiliatedauthorPulli, Elmo
dc.okm.affiliatedauthorHashempour, Niloofar
dc.okm.affiliatedauthorMerisaari, Harri
dc.okm.affiliatedauthorBano, Wajiha
dc.okm.affiliatedauthorLuotonen, Silja
dc.okm.affiliatedauthorJolly, Ashmeet
dc.okm.affiliatedauthorSuuronen, Ilkka
dc.okm.affiliatedauthorKarlsson, Linnea
dc.okm.affiliatedauthorKarlsson, Hasse
dc.okm.affiliatedauthorTuulari, Jetro
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3123 Gynaecology and paediatricsen_GB
dc.okm.discipline3123 Naisten- ja lastentauditfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherSpringer Nature
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.doi10.1038/s41390-025-04726-2
dc.relation.ispartofjournalPediatric Research
dc.titleInvestigating the influence of maternal prenatal BMI and perinatal depressive symptoms on neonatal brain network dynamics
dc.year.issued2026

Tiedostot

Näytetään 1 - 1 / 1
Ladataan...
Name:
s41390-025-04726-2.pdf
Size:
959.78 KB
Format:
Adobe Portable Document Format