Associations between children’s family environment, spontaneous brain oscillations, and emotional and behavioral problems
- 177 Downloads
The family environment in childhood has a strong effect on mental health outcomes throughout life. This effect is thought to depend at least in part on modifications of neurodevelopment trajectories. In this exploratory study, we sought to investigate whether a feasible resting-state fMRI metric of local spontaneous oscillatory neural activity, the fractional amplitude of low-frequency fluctuations (fALFF), is associated with the levels of children’s family coherence and conflict. Moreover, we sought to further explore whether spontaneous activity in the brain areas influenced by family environment would also be associated with a mental health outcome, namely the incidence of behavioral and emotional problems. Resting-state fMRI data from 655 children and adolescents (6–15 years old) were examined. The quality of the family environment was found to be positively correlated with fALFF in the left temporal pole and negatively correlated with fALFF in the right orbitofrontal cortex. Remarkably, increased fALFF in the temporal pole was associated with a lower incidence of behavioral and emotional problems, whereas increased fALFF in the orbitofrontal cortex was correlated with a higher incidence.
KeywordsDevelopment Family environment Neuroimaging Psychopathology Resting state
The opinions, hypotheses, conclusions, and recommendations of this study are those of the authors and do not necessarily represent the opinions of the funding agencies. The authors are grateful to FAPESP (grants 2013/10498-6 and 2013/00506-1 to J.R.S. and grant 2013/08531-5 to A.J.) and the National Institute of Developmental Psychiatry for Children and Adolescents, a science and technology institute funded by CNPq and FAPESP (grant 573974/2008-0).
Compliance with ethical standards
Conflict of interest
Dr. Luis Augusto Rohde has been on the speakers’ bureau/advisory board and/or acted as a consultant for Eli-Lilly, Janssen-Cilag, Novartis, and Shire in the last 3 years. The ADHD and Juvenile Bipolar Disorder Outpatient programs chaired by Dr. Rhode have also received unrestricted educational and research support from the following pharmaceutical companies in the last 3 years: Eli-Lilly, Janssen-Cilag, Novartis, and Shire. Dr. Rohde has also received travel grants from Shire for participation in the 2014 American Physiological Association and 2015 World Federation of ADHD congresses. Finally, he receives authorship royalties from Oxford Press and ArtMed. Dr. Rodrigo Affonseca Bressan has been on the speakers’ bureau/advisory board of AstraZeneca, Bristol, Janssen, and Lundbeck. Dr. Bressan has also received research grants from Janssen, Eli-Lilly, Lundbeck, Novartis, Roche, FAPESP, CNPq, CAPES, Fundação E.J. Safra, and Fundação ABAHDS. He is also a shareholder in Biomolecular Technology Ltd. Dr. Edson Amaro Jr. has received research grants from FAPESP, CNPq, CAPES, Fundação E.J. Safra, and Fundação ABAHDS. Dr. Pedro Pan received a PhD Scholarship from CNPq.
- 1.Achenbach TM, Rescorla LA (2001) Manual for the ASEBA school-age forms and profiles. University of Vermont, Research Center for Children, Youth, and Families, BurlingtonGoogle Scholar
- 33.Harold GT, Leve LD, Barrett D, Elam K, Neiderhiser JM, Natsuaki MN, Shaw DS, Reiss D, Thapar A (2013a) Biological and rearing mother influences on child ADHD symptoms: revisiting the developmental interface between nature and nurture. J Child Psychol Psychiatry 54(10):1038–1046. https://doi.org/10.1111/jcpp.12100 CrossRefPubMedPubMedCentralGoogle Scholar
- 34.Harold GT, Leve LD, Elam KK, Thapar A, Neiderhiser JM, Natsuaki MN, Shaw DS, Reiss D (2013b) The nature of nurture: disentangling passive genotype-environment correlation from family relationship influences on children’s externalizing problems. J Fam Psychol 27(1):12–21. https://doi.org/10.1037/a0031190 CrossRefPubMedPubMedCentralGoogle Scholar
- 35.Hayes AF (2013) Introduction to mediation, moderation, and conditional process analysis: a regression-based approach. The Guilford, New YorkGoogle Scholar
- 39.Johnson SB, Riis JL, Noble KG (2016) State of the art review: poverty and the developing brain. Pediatrics, peds-2015Google Scholar
- 40.Kaufmann T, Alnæs D, Brandt CL, Doan NT, Kauppi K, Bettella F, Lagerberg TV, Berg AO, Djurovic S, Agartz I, Melle IS, Ueland T, Andreassen OA, Westlye LT (2017) Task modulations and clinical manifestations in the brain functional connectome in 1615 fMRI datasets. Neuroimage 147:243–252. https://doi.org/10.1016/j.neuroimage.2016.11.073 CrossRefPubMedGoogle Scholar
- 55.Moos RH, Moos BS (1994) Family environment scale manual. Consulting Psychologists, Palo AltoGoogle Scholar
- 67.Sato JR, Biazoli CE, Salum GA, Gadelha A, Crossley N, Satterthwaite TD et al (2015) Temporal stability of network centrality in control and default mode networks: specific associations with externalizing psychopathology in children and adolescents. Hum Brain Mapp 36(12):4926–4937CrossRefGoogle Scholar
- 83.Wechsler D (1991) Wechsler intelligence scale for children-third edition (WISC-III): manual. Psychological Corporation, San AntonioGoogle Scholar