2018
DOI: 10.1001/jamapediatrics.2017.5227
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Associations Between Brain Structure and Connectivity in Infants and Exposure to Selective Serotonin Reuptake Inhibitors During Pregnancy

Abstract: IMPORTANCE Selective serotonin reuptake inhibitor (SSRI) use among pregnant women is increasing, yet the association between prenatal SSRI exposure and fetal neurodevelopment is poorly understood. Animal studies show that perinatal SSRI exposure alters limbic circuitry and produces anxiety and depressive-like behaviors after adolescence, but literature on prenatal SSRI exposure in humans is limited and mixed.OBJECTIVE To examine associations between prenatal SSRI exposure and brain development using structural… Show more

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Cited by 102 publications
(84 citation statements)
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“…Associations between prenatal SSRI exposure and brain function and structure during early infancy are also emerging (Jha et al, 2016;Lugo-Candelas et al, 2018;Podrebarac et al, 2017). Lugo-Candelas et al (2018) reported that infants exposed to SSRIs in utero had concomitant increases in amygdala and insula volume correlated with increases in white-matter connectivity relative to infants of untreated depressed mothers and control infants (Lugo-Candelas et al, 2018). Jha et al (2016) reported widespread microstructure reduction in prenatally SSRI-exposed compared to control infants, while Videman et al (2016), using electroencephalography, demonstrated alterations of connectivity patterns associated with prenatal exposure to SSRIs.…”
mentioning
confidence: 99%
“…Associations between prenatal SSRI exposure and brain function and structure during early infancy are also emerging (Jha et al, 2016;Lugo-Candelas et al, 2018;Podrebarac et al, 2017). Lugo-Candelas et al (2018) reported that infants exposed to SSRIs in utero had concomitant increases in amygdala and insula volume correlated with increases in white-matter connectivity relative to infants of untreated depressed mothers and control infants (Lugo-Candelas et al, 2018). Jha et al (2016) reported widespread microstructure reduction in prenatally SSRI-exposed compared to control infants, while Videman et al (2016), using electroencephalography, demonstrated alterations of connectivity patterns associated with prenatal exposure to SSRIs.…”
mentioning
confidence: 99%
“…Nevertheless, our results provide a potential molecular mechanism for findings of altered brain connectivity in humans after exposure to maternal SSRI use [25][26][27] or depressive symptoms during gestation [29][30][31] . As outlined in the introduction, human studies often observe similar neurodevelopmental outcomes in children exposed to SSRIs as in children exposed to unmedicated depression, evoking questions about the source of the effects.…”
Section: Myelination Of Axons By Oligodendrocytes Plays a Critical Romentioning
confidence: 78%
“…Prenatal SSRI exposure is associated with altered white and gray matter architecture 24 and connectivity [25][26][27] in babies. Even though the SSRI-exposed group is usually compared to a control group exposed to unmedicated depressive symptoms of the mother [25][26][27] , it remains possible that the intensity or nature of the underlying depressive symptoms differs between these groups and partially mediates the observed effects 28 . It is known that the severity of antenatal depressive symptoms correlates to connectivity in brain networks involved in emotion regulation in infants 29 .…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Human brain imaging outcomes suggest both structural and functional abnormalities in the perinatally-exposed population. Compared to controls or infants with depressed mothers, neonates with SSRI-treated mothers displayed increased gray matter volume and white matter connectivity in the amygdala and insula (Lugo-Candelas et al, 2018). Functional neuroimaging studies observed con-nectivity increases in infants' auditory resting-state network following prenatal SSRI exposure (Rotem-Kohavi et al, 2019) and reduced interhemispheric connectivity in EEG studies (Videman et al, 2017).…”
Section: Introductionmentioning
confidence: 99%