Rachel M Graham1, Betty Jayne Bellando1, Seth Sorensen1, Li Jiang2, Charles M Glasier1, Raghu H Ramakrishnaiah1, Fang Lu1, Amy C Rowell1, and Xiawei Ou1,2,3
1University of Arkansas for Medical Sciences, LITTLE ROCK, AR, United States, 2Arkansas Children's Research Institute, LITTLE ROCK, AR, United States, 3Arkansas Children's Nutrition Center, LITTLE ROCK, AR, United States
Synopsis
This prospective study
examined the relationships between maternal depression and anxiety during
pregnancy and newborn’s brain white matter development. Healthy pregnant women
were recruited at the 3rd trimester. Depression was assessed using
the Beck Depression Inventory, Second Edition (BDI-II), and anxiety was
assessed using the State-Trait Anxiety Inventory(STAI). Their newborns
underwent an MRI examination of the brain at 2 weeks of age, which included
diffusion tensor imaging to evaluate white matter development. Fractional
anisotropy (FA) maps were generated and correlated with the BDI and STAI scores
using tract-based spatial statistics. Negative correlations between FA values
and BDI/STAI scores were found in multiple white matter regions, suggesting
that depression and anxiety during pregnancy may impact the in utero brain white matter development.
Introduction
It is estimated that
about 13% of pregnant women in the United States suffer from an anxiety related
disorder, and 13.3% from a mood disorder, including depression.1 Published
evidence has shown that there are negative effects of antenatal depression and anxiety
on offspring, including hyperactivity and inattention in boys, emotional
problems in both boys and girls, and atopic disorders including asthma.2-3
However, less is known about why these negative effects would happen. Evaluating
infant’s brain development right after birth provides an opportunity to link
maternal depression/anxiety during pregnancy with later unfavorable
neurodevelopmental outcomes. In this study, diffusion tensor imaging (DTI) was
utilized to examine brain white matter microstructural development in newborns
from mothers who had normal pregnancy and were recruited for evaluation of
depression and anxiety symptoms at ~36 weeks of gestation. The goal of this
study is to see whether there are significant associations between infants’
white matter development and their mothers’ depression and anxiety test scores. Methods
This
is a prospective study in which healthy pregnant women were recruited and
studied at ~36 weeks of pregnancy, and their newborns were studied at age ~2
weeks. Inclusion criteria for the pregnant women included: singleton pregnancy,
<36 weeks of pregnancy, and ≥ 18 years of age. Exclusion for the pregnant
women included: hypertension, diabetes,
or other preexisting medical conditions known to influence fetal growth,
medications known to influence fetal growth, recreational drug, tobacco, or
alcohol use while pregnant, pregnancy conception with assisted fertility
treatment, and medical conditions developed during pregnancy (such as
gestational diabetes, preeclampsia) suspected to influence fetal growth. Infants
born preterm (<37 weeks of gestation), with congenital defects, small for
gestational age, with a low Apgar score or any other medical complications at
birth affecting development were also excluded. Maternal anxiety and depression
scores were obtained using the State-Trait Anxiety Inventory (STAI) and Beck
Depression Inventory, Second Edition (BDI-II), which were both administered by
a licensed psychological examiner at ~36 weeks of pregnancy. Both the state (S)
result and the trait (T) result of the STAI examination were obtained, yielding
a total of three psychological scores per maternal subject. In addition, maternal IQ was also assessed
using the Wechsler Abbreviated Scale of Intelligence, Second Edition (WASI-II).
At around age 2 weeks, the infants underwent an MRI examination of the brain at
natural sleep without sedation using a Siemens PRISMA scanner and a 20-channel
head coil. Pulse sequences included 3D T1 and T2 weighted images to screen for
structural abnormalities by neuroradiologists, and diffusion weighted images
with b value ranging from 0 to 1500 and diffusion directions uniformly
distributed in 99 directions. In total, 34 infants had both valid DTI data and
valid STAI data from their mothers; and 32 of them also had valid BDI data from
their mothers. Fractional anisotropy (FA) maps for these infants were
calculated using the scanner software and were exported to a workstation with
FSL (version 6.0, created by the Oxford Center for Functional MRI of the Brain,
Oxford, UK) installed on a VMware Linux virtual machine (VMware, Palo Alto,
Calif) for post-processing. Through the use of FSL’s tract-based spatial
statistics (TBSS) toolbox, each image was eroded slightly and end slices zeroed
to remove outliers. The FA image sets were then registered to each other using
nonlinear transformation to find the most representative image set which then
consequently served as the target images.
Each FA data set was then centered and layered on top of the target
images, and a mean FA map and white matter skeleton for all subjects were then
generated. All FA maps were then projected onto the FA skeleton to create a 4D FA
maps dataset encompassing all subjects and subsequently used for statistical
analysis. Voxel-wise correlation analyses were utilized in TBSS to evaluate associations
between FA values and BDI/STAI scores. Each
correlation analysis was computed with 2000 permutations and compared with the
empirical null distribution to correct for multiple comparisons. Effects of potential
confounders were adjusted by including as covariates in the correlation
analyses. These covariates included postmenstrual age (gestational age at birth
plus age at MRI) which has been shown strong effects on infant white matter
development, and maternal IQ as well as infant sex. Results
As
shown in Figure 1, voxel-wise TBSS analysis accounting for potential cofounders
showed that maternal state anxiety (S-STAI and T-STAI scores) negatively
correlated with infant FA values in multiple areas of white matter tracts.
These areas include frontal white matter, internal capsules, corpus callosum,
and the limbic system. In addition, multiple white matter regions also showed a
trend of negative correlations (P<0.10, corrected) between maternal
depression (BDI scores) and FA values. Higher BDI/STAI scores in the pregnant
women, which implies more symptomatic for depression and anxiety, correlated
with lower FA values in some brain regions in their newborns, which implies
less white matter development. Conclusion
Our results
demonstrated that healthy full-term infants born from uncomplicated pregnancies
of mothers with higher S-STAI, T-STAI, and BDI scores have lower white matter
development (as indicated by lower FA values) in multiple brain regions.
Maternal depression/anxiety, even at a subclinical level, may negatively impact
the in utero brain development. Acknowledgements
This
project was supported by NIH/NIGMS 1P20GM121293-6283. The PI and his research
team was also supported by USDA/ARS 6251-51000-006-00DReferences
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Vesga-Lopez O, Blanco C, Keyes K, et al. Psychiatric Disorders in Pregnant and
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Gen Psychiatry. 2008;65(7):805-15
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O’Connor
T, Heron J, Golding J, et al. Maternal
antenatal anxiety and children’s behavioural/emotional problems at 4
years. Report from the Avon Longitudinal
Study of Parents and Children. Br J
Psychiatry. 2002;180:501-8.
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Andersson
NW, Hansen MV, Larsen AD, et al. Prenatal
maternal stress and atopic diseases in the child: a systematic review of
observational human studies. Allergy. 2016:71(1):15-26.