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European Child & Adolescent Psychiatry

, Volume 24, Issue 1, pp 115–118 | Cite as

Development of children born to mothers with mental health problems: subcortical volumes and cognitive performance at 4½ years

  • Astrid BjørnebekkEmail author
  • Torill S. Siqveland
  • Kristin Haabrekke
  • Vibeke Moe
  • Kari Slinning
  • Anders M. Fjell
  • Kristine B. Walhovd
Brief Report

Abstract

In a prospective longitudinal study, we investigated the outcomes of children born to mothers clinically referred for mental health problems during pregnancy (risk group, n = 17) relative to a control group (n = 31). Child cognitive functioning, and for subgroups (n = 10 + 17), brain morphometry as derived from Magnetic resonance imaging (MRI), was measured at 4½ years. Cognitive data included abstract visuospatial reasoning/problem solving and verbal scores. Subcortical regions of interest included the amygdala, accumbens area, hippocampus, caudate and putamen, chosen because their development seems potentially sensitive to an adverse intrauterine milieu and environmental experiences, and also due to their implication in cognitive and emotional processes. The risk group exhibited poorer abstract reasoning scores than the control group. No differences were found for verbal scores. MRI revealed smaller putamen volume in children in the risk group. Irrespective of group, putamen volume was positively related to visuospatial reasoning performance. Our results suggest that maternal psychopathology may be associated with child putamen development, nonverbal reasoning and problem solving skills.

Keywords

Maternal psychopathology Neuroimaging Cognitive development Brain morphology Abstract reasoning Putamen 

Notes

Acknowledgments

We thank Paulina Due-Tønnesen for neuroradiological evaluations. This work was supported by the Research Council of Norway.

Conflict of interest

None of the authors have competing financial interests regarding this work.

Supplementary material

787_2014_625_MOESM1_ESM.docx (278 kb)
Supplementary material 1 (DOCX 278 kb)

References

  1. 1.
    Barker ED, Kirkham N, J Ng, Jensen SK (2013) Prenatal maternal depression symptoms and nutrition, and child cognitive function. Br J Psychiatry 203:417–421PubMedCentralPubMedCrossRefGoogle Scholar
  2. 2.
    Cogill SR, Caplan HL, Alexandra H, Robson KM, Kumar R (1986) Impact of maternal postnatal depression on cognitive development of young children. Br Med J (Clin Res Ed) 292:1165–1167CrossRefGoogle Scholar
  3. 3.
    Lou HC, Hansen D, Nordentoft M, Pryds O, Jensen F et al (1994) Prenatal stressors of human life affect fetal brain development. Dev Med Child Neurol 36:826–832PubMedCrossRefGoogle Scholar
  4. 4.
    Buss C, Davis EP, Muftuler LT, Head K, Sandman CA (2010) High pregnancy anxiety during mid-gestation is associated with decreased gray matter density in 6–9-year-old children. Psychoneuroendocrinology 35:141–153PubMedCentralPubMedCrossRefGoogle Scholar
  5. 5.
    Buss C, Davis EP, Shahbaba B, Pruessner JC, Head K et al (2012) Maternal cortisol over the course of pregnancy and subsequent child amygdala and hippocampus volumes and affective problems. Proc Natl Acad Sci USA 109:E1312–E1319PubMedCentralPubMedCrossRefGoogle Scholar
  6. 6.
    Lupien SJ, Parent S, Evans AC, Tremblay RE, Zelazo PD et al (2011) Larger amygdala but no change in hippocampal volume in 10-year-old children exposed to maternal depressive symptomatology since birth. Proc Natl Acad Sci USA 108:14324–14329PubMedCentralPubMedCrossRefGoogle Scholar
  7. 7.
    Derauf C, Kekatpure M, Neyzi N, Lester B, Kosofsky B (2009) Neuroimaging of children following prenatal drug exposure. Semin Cell Dev Biol 20:441–454PubMedCentralPubMedCrossRefGoogle Scholar
  8. 8.
    Alcaro A, Panksepp J (2011) The SEEKING mind: primal neuro-affective substrates for appetitive incentive states and their pathological dynamics in addictions and depression. Neurosci Biobehav Rev 35:1805–1820PubMedCrossRefGoogle Scholar
  9. 9.
    Squire LR (1992) Memory and the hippocampus: a synthesis from findings with rats, monkeys, and humans. Psychol Rev 99:195–231PubMedCrossRefGoogle Scholar
  10. 10.
    Ell SW, Marchant NL, Ivry RB (2006) Focal putamen lesions impair learning in rule-based, but not information-integration categorization tasks. Neuropsychologia 44:1737–1751PubMedCrossRefGoogle Scholar
  11. 11.
    Pickett ER, Kuniholm E, Protopapas A, Friedman J, Lieberman P (1998) Selective speech motor, syntax and cognitive deficits associated with bilateral damage to the putamen and the head of the caudate nucleus: a case study. Neuropsychologia 36:173–188PubMedCrossRefGoogle Scholar
  12. 12.
    Packard MG, Knowlton BJ (2002) Learning and memory functions of the Basal Ganglia. Annu Rev Neurosci 25:563–593PubMedCrossRefGoogle Scholar
  13. 13.
    Rhein C, Muhle C, Richter-Schmidinger T, Alexopoulos P, Doerfler A et al (2014) Neuroanatomical correlates of intelligence in healthy young adults: the role of basal ganglia volume. PLoS One 9:e93623PubMedCentralPubMedCrossRefGoogle Scholar
  14. 14.
    Siqveland TS, Moe V (2013) Longitudinal development of mother-infant interaction during the first year of life among mothers with substance abuse and psychiatric problems and their Infants. Child Psychiatry Hum Dev 45(4):408–421Google Scholar
  15. 15.
    Wechsler D (2002) Wechsler preschool and primary scale of intelligence-third edition. PearsonGoogle Scholar
  16. 16.
    Tegethoff M, Greene N, Olsen J, Meyer AH, Meinlschmidt G (2010) Maternal psychosocial adversity during pregnancy is associated with length of gestation and offspring size at birth: evidence from a population-based cohort study. Psychosom Med 72:419–426PubMedCrossRefGoogle Scholar
  17. 17.
    Arborelius L, Owens MJ, Plotsky PM, Nemeroff CB (1999) The role of corticotropin-releasing factor in depression and anxiety disorders. J Endocrinol 160:1–12PubMedCrossRefGoogle Scholar
  18. 18.
    Melrose RJ, Poulin RM, Stern CE (2007) An fMRI investigation of the role of the basal ganglia in reasoning. Brain Res 1142:146–158PubMedCrossRefGoogle Scholar
  19. 19.
    Rao SM, Bobholz JA, Hammeke TA, Rosen AC, Woodley SJ et al (1997) Functional MRI evidence for subcortical participation in conceptual reasoning skills. NeuroReport 8:1987–1993PubMedCrossRefGoogle Scholar
  20. 20.
    Young TL, Granic A, Yu Chen T, Haley CB, Edwards JD (2010) Everyday reasoning abilities in persons with Parkinson’s disease. Mov Disord 25:2756–2761PubMedCentralPubMedCrossRefGoogle Scholar
  21. 21.
    Burgaleta M, MacDonald PA, Martinez K, Roman FJ, Alvarez-Linera J et al (2014) Subcortical regional morphology correlates with fluid and spatial intelligence. Hum Brain Mapp 35:1957–1968PubMedCrossRefGoogle Scholar
  22. 22.
    MacDonald PA, Ganjavi H, Collins DL, Evans AC, Karama S (2014) Investigating the relation between striatal volume and IQ. Brain Imaging Behav 8:52–59PubMedCrossRefGoogle Scholar
  23. 23.
    Sandman CA, Head K, Muftuler LT, Su L, Buss C et al (2014) Shape of the basal ganglia in preadolescent children is associated with cognitive performance. Neuroimage 99:93–102PubMedCrossRefGoogle Scholar
  24. 24.
    Gilmore JH, Shi F, Woolson SL, Knickmeyer RC, Short SJ et al (2012) Longitudinal development of cortical and subcortical gray matter from birth to 2 years. Cereb Cortex 22:2478–2485PubMedCentralPubMedCrossRefGoogle Scholar
  25. 25.
    Østby Y, Tamnes CK, Fjell AM, Westlye LT, Due-Tønnessen P et al (2009) Heterogeneity in subcortical brain development: A structural magnetic resonance imaging study of brain maturation from 8 to 30 years. J Neurosci 29:11772–11782PubMedCrossRefGoogle Scholar
  26. 26.
    Brain Development Cooperative Group (2012) Total and regional brain volumes in a population-based normative sample from 4 to 18 years: the NIH MRI Study of normal brain development. Cereb Cortex 22:1–12PubMedCentralCrossRefGoogle Scholar
  27. 27.
    Lenroot RK, Giedd JN (2006) Brain development in children and adolescents: insights from anatomical magnetic resonance imaging. Neurosci Biobehav Rev 30:718–729PubMedCrossRefGoogle Scholar
  28. 28.
    Walhovd KB, Fjell AM, Brown TT, Kuperman JM, Chung Y et al (2012) Long-term influence of normal variation in neonatal characteristics on human brain development. Proc Natl Acad Sci USA 109:20089–20094PubMedCentralPubMedCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Astrid Bjørnebekk
    • 1
    • 2
    Email author
  • Torill S. Siqveland
    • 3
  • Kristin Haabrekke
    • 3
    • 4
  • Vibeke Moe
    • 3
    • 4
  • Kari Slinning
    • 3
    • 4
  • Anders M. Fjell
    • 1
  • Kristine B. Walhovd
    • 1
  1. 1.Department of Psychology, Research Group for Lifespan Changes in Brain and CognitionUniversity of OsloOsloNorway
  2. 2.Unit of Neuropsychology, Department of Physical Medicine and RehabilitationOslo University Hospital, UllevaalOsloNorway
  3. 3.Department of PsychologyUniversity of OsloOsloNorway
  4. 4.National Institute of Infant Mental Health, Center for Child and Adolescent Mental Health, Eastern and Southern Norway (RBUP)OsloNorway

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