How prenatal exposures shape the infant brain: Insights from infant neuroimaging studies.


Journal

Neuroscience and biobehavioral reviews
ISSN: 1873-7528
Titre abrégé: Neurosci Biobehav Rev
Pays: United States
ID NLM: 7806090

Informations de publication

Date de publication:
12 2021
Historique:
received: 29 04 2021
revised: 30 07 2021
accepted: 12 09 2021
pubmed: 19 9 2021
medline: 3 3 2022
entrez: 18 9 2021
Statut: ppublish

Résumé

Brain development during the prenatal period is rapid and unparalleled by any other time during development. Biological systems undergoing rapid development are at higher risk for disorganizing influences. Therefore, certain prenatal exposures impact brain development, increasing risk for negative neurodevelopmental outcome. While prenatal exposures have been associated with cognitive and behavioral outcomes later in life, the underlying macroscopic brain pathways remain unclear. Here, we review magnetic resonance imaging (MRI) studies investigating the association between prenatal exposures and infant brain development focusing on prenatal exposures via maternal physical health factors, maternal mental health factors, and maternal drug and medication use. Further, we discuss the need for studies to consider multiple prenatal exposures in parallel and suggest future directions for this body of research.

Identifiants

pubmed: 34536461
pii: S0149-7634(21)00399-7
doi: 10.1016/j.neubiorev.2021.09.017
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

47-58

Subventions

Organisme : NICHD NIH HHS
ID : K23 HD092589
Pays : United States
Organisme : NICHD NIH HHS
ID : L40 HD099766
Pays : United States

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Alexander J Dufford (AJ)

Child Study Center, Yale School of Medicine, New Haven, CT, USA. Electronic address: alexander.dufford@yale.edu.

Marisa Spann (M)

Columbia University Irving Medical Center, 622 West 168th Street, New York, NY, 10032, USA.

Dustin Scheinost (D)

Child Study Center, Yale School of Medicine, New Haven, CT, USA; Department of Radiology and Biomedical Imaging, Yale School of Medicine, USA; Department of Statistics and Data Science, Yale University, New Haven, CT, USA; Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA.

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Classifications MeSH