Buss, C. et al. Maternal cortisol over the course of pregnancy and subsequent child amygdala and hippocampus volumes and affective problems. Proc. Natl Acad. Sci. USA 109, E1312–E1319 (2012).
Google ScholarÂ
Buss, C., Davis, E. P., Muftuler, L. T., Head, K. & Sandman, C. A. High pregnancy anxiety during mid-gestation is associated with decreased gray matter density in 6–9-year-old children. Psychoneuroendocrinology 35, 141–153 (2010).
Google ScholarÂ
Qiu, A. et al. Prenatal maternal depression alters amygdala functional connectivity in 6-month-old infants. Transl. Psychiatry 5, e508 (2015).
Google ScholarÂ
Qiu, A. et al. Maternal anxiety and infants’ hippocampal development: timing matters. Transl. Psychiatry 3, e306 (2013).
Google ScholarÂ
Qiu, A. et al. Effects of antenatal maternal depressive symptoms and socio-economic status on neonatal brain development are modulated by genetic risk. Cereb. Cortex 27, 3080–3092 (2017).
Google ScholarÂ
Wei, D. et al. Cortical development mediates association of prenatal maternal depressive symptoms and child reward sensitivity: a longitudinal study. J. Am. Acad. Child Adolesc. Psychiatry 61, 392–401 (2022).
Google ScholarÂ
Zhang, H. et al. Maternal adverse childhood experience and depression in relation with brain network development and behaviors in children: a longitudinal study. Cereb. Cortex 31, 4233–4244 (2021).
Google ScholarÂ
Graham, R. M. et al. Maternal anxiety and depression during late pregnancy and newborn brain white matter development. Am. J. Neuroradiol. 41, 1908–1915 (2020).
Google ScholarÂ
Jha, S. C. et al. Antenatal depression, treatment with selective serotonin reuptake inhibitors, and neonatal brain structure: a propensity-matched cohort study. Psychiatry Res. Neuroimaging 253, 43–53 (2016).
Google ScholarÂ
Wen, D. J. et al. Influences of prenatal and postnatal maternal depression on amygdala volume and microstructure in young children. Transl. Psychiatry 7, e1103 (2017).
Google ScholarÂ
Sandman, C. A., Buss, C., Head, K. & Davis, E. P. Fetal exposure to maternal depressive symptoms is associated with cortical thickness in late childhood. Biol. Psychiatry 77, 324–334 (2015).
Google ScholarÂ
Soe, N. N. et al. Perinatal maternal depressive symptoms alter amygdala functional connectivity in girls. Hum. Brain Mapp. 39, 680–690 (2018).
Google ScholarÂ
Rifkin-Graboi, A. et al. Prenatal maternal depression associates with microstructure of right amygdala in neonates at birth. Biol. Psychiatry 74, 837–844 (2013).
Google ScholarÂ
Meaney, M. J. Perinatal maternal depressive symptoms as an issue for population health. Am. J. Psychiatry 175, 1084–1093 (2018).
Google ScholarÂ
Phua, D. Y. et al. Positive maternal mental health during pregnancy associated with specific forms of adaptive development in early childhood: evidence from a longitudinal study. Dev. Psychopathol. 29, 1573–1587 (2017).
Google ScholarÂ
Lamers, S. M., Westerhof, G. J., Glas, C. A. & Bohlmeijer, E. T. The bidirectional relation between positive mental health and psychopathology in a longitudinal representative panel study. J. Posit. Psychol. 10, 553–560 (2015).
Google ScholarÂ
Keyes, C. L., Dhingra, S. S. & Simoes, E. J. Change in level of positive mental health as a predictor of future risk of mental illness. Am. J. Public Health 100, 2366–2371 (2010).
Google ScholarÂ
Rifkin-Graboi, A. et al. Maternal sensitivity, infant limbic structure volume and functional connectivity: a preliminary study. Transl. Psychiatry 5, e668 (2015).
Google ScholarÂ
Lee, A. et al. Maternal care in infancy and the course of limbic development. Dev. Cogn. Neurosci. 40, 100714 (2019).
Google ScholarÂ
Rifkin-Graboi, A. et al. An initial investigation of neonatal neuroanatomy, caregiving, and levels of disorganized behavior. Proc. Natl Acad. Sci. USA 116, 16787–16792 (2019).
Google ScholarÂ
Meades, R. & Ayers, S. Anxiety measures validated in perinatal populations: a systematic review. J. Affect. Disord. 133, 1–15 (2011).
Google ScholarÂ
Beck, A. T., Ward, C. H., Mendelson, M., Mock, J. & Erbaugh, J. An inventory for measuring depression. Arch. Gen. Psychiatry 4, 561–571 (1961).
Google ScholarÂ
Cox, J. L., Holden, J. M. & Sagovsky, R. Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal Depression Scale. Br. J. Psychiatry 150, 782–786 (1987).
Google ScholarÂ
Reichenheim, M. E., Moraes, C. L., Oliveira, A. S. & Lobato, G. Revisiting the dimensional structure of the Edinburgh Postnatal Depression Scale (EPDS): empirical evidence for a general factor. BMC Med. Res. Methodol. 11, 93 (2011).
Google ScholarÂ
Szekely, E. et al. Maternal prenatal mood, pregnancy-specific worries, and early child psychopathology: findings from the DREAM BIG Consortium. J. Am. Acad. Child Adolesc. Psychiatry 60, 186–197 (2021).
Google ScholarÂ
O’Donnell, K. A. et al. The Maternal Adversity, Vulnerability and Neurodevelopment Project: theory and methodology. Can. J. Psychiatry 59, 497–508 (2014).
Google ScholarÂ
Rosseel, Y. lavaan: an R package for structural equation modeling. J. Stat. Softw. 48, 1–36 (2012).
Google ScholarÂ
Unternaehrer, E. et al. Dissecting maternal care: patterns of maternal parenting in a prospective cohort study. J. Neuroendocrinol. 31, e12784 (2019).
Google ScholarÂ
Li, J. et al. Late gestational maternal serum cortisol is inversely associated with fetal brain growth. Neurosci. Biobehav. Rev. 36, 1085–1092 (2012).
Google ScholarÂ
Vreeburg, S. A. et al. Salivary cortisol levels in persons with and without different anxiety disorders. Psychosom. Med. 72, 340–347 (2010).
Google ScholarÂ
Coe, C. L. et al. Prenatal stress diminishes neurogenesis in the dentate gyrus of juvenile rhesus monkeys. Biol. Psychiatry 54, 1025–1034 (2003).
Google ScholarÂ
Weinstock, M. The long-term behavioural consequences of prenatal stress. Neurosci. Biobehav. Rev. 32, 1073–1086 (2008).
Google ScholarÂ
Leerkes, E. M. et al. Antecedents of maternal sensitivity during distressing tasks: integrating attachment, social information processing, and psychobiological perspectives. Child Dev. 86, 94–111 (2015).
Google ScholarÂ
Vieten, C. et al. The mindful moms training: development of a mindfulness-based intervention to reduce stress and overeating during pregnancy. BMC Pregnancy Childbirth 18, 201 (2018).
Google ScholarÂ
Assel, M. A. et al. How do mothers’ childrearing histories, stress and parenting affect children’s behavioural outcomes? Child Care Health Dev. 28, 359–368 (2002).
Google ScholarÂ
Luby, J. L. et al. Maternal support in early childhood predicts larger hippocampal volumes at school age. Proc. Natl Acad. Sci. USA 109, 2854–2859 (2012).
Google ScholarÂ
Wang, Q. et al. Maternal sensitivity predicts anterior hippocampal functional networks in early childhood. Brain Struct. Funct. 224, 1885–1895 (2019).
Google ScholarÂ
Barch, D. M. et al. Hippocampal volume and depression among young children. Psychiatry Res. Neuroimaging 288, 21–28 (2019).
Google ScholarÂ
Barch, D. M., Harms, M. P., Tillman, R., Hawkey, E. & Luby, J. L. Early childhood depression, emotion regulation, episodic memory, and hippocampal development. J. Abnorm. Psychol. 128, 81–95 (2019).
Google ScholarÂ
Barch, D. M., Gaffrey, M. S., Botteron, K. N., Belden, A. C. & Luby, J. L. Functional brain activation to emotionally valenced faces in school-aged children with a history of preschool-onset major depression. Biol. Psychiatry 72, 1035–1042 (2012).
Google ScholarÂ
Gaffrey, M. S., Luby, J. L., Botteron, K., Repovs, G. & Barch, D. M. Default mode network connectivity in children with a history of preschool onset depression. J. Child Psychol. Psychiatry 53, 964–972 (2012).
Google ScholarÂ
Perino, M. T. et al. Attention alterations in pediatric anxiety: evidence from behavior and neuroimaging. Biol. Psychiatry 89, 726–734 (2021).
Google ScholarÂ
Sylvester, C. M. et al. Resting state functional connectivity of the ventral attention network in children with a history of depression or anxiety. J. Am. Acad. Child Adolesc. Psychiatry 52, 1326–1336.e5 (2013).
Google ScholarÂ
Ryff, C. D. & Singer, B. H. Best news yet on the six-factor model of well-being. Soc. Sci. Res. 35, 1103–1119 (2006).
Google ScholarÂ
Soh, S. E. et al. The methodology of the GUSTO cohort study: a novel approach in studying pediatric allergy. Asia Pac. Allergy 2, 144–148 (2012).
Google ScholarÂ
Du, J., Younes, L. & Qiu, A. Whole brain diffeomorphic metric mapping via integration of sulcal and gyral curves, cortical surfaces, and images. NeuroImage 56, 162–173 (2011).
Google ScholarÂ
Tan, M. & Qiu, A. Large deformation multiresolution diffeomorphic metric mapping for multiresolution cortical surfaces: a coarse-to-fine approach. IEEE Trans. Image Process. 25, 4061–4074 (2016).
Google ScholarÂ
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L. & Petersen, S. E. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage 59, 2142–2154 (2012).
Google ScholarÂ
Alcauter, S. et al. Development of thalamocortical connectivity during infancy and its cognitive correlations. J. Neurosci. 34, 9067–9075 (2014).
Google ScholarÂ
Power, J. D. et al. Methods to detect, characterize, and remove motion artifact in resting state fMRI. NeuroImage 84, 320–341 (2014).
Google ScholarÂ
Shen, X. et al. Using connectome-based predictive modeling to predict individual behavior from brain connectivity. Nat. Protoc. 12, 506–518 (2017).
Google ScholarÂ
Casey, B. J. et al. The Adolescent Brain Cognitive Development (ABCD) study: imaging acquisition across 21 sites. Dev. Cogn. Neurosci. 32, 43–54 (2018).
Google ScholarÂ
Cecil, C. A. et al. Environmental risk, Oxytocin Receptor Gene (OXTR) methylation and youth callous–unemotional traits: a 13-year longitudinal study. Mol. Psychiatry 19, 1071–1077 (2014).
Google ScholarÂ
Rijlaarsdam, J. et al. An epigenome-wide association meta-analysis of prenatal maternal stress in neonates: a model approach for replication. Epigenetics 11, 140–149 (2016).
Google ScholarÂ
link
