Tracking brain development and dimensional psychiatric symptoms in children: A longitudinal population-based neuroimaging study

American Journal of Psychiatry

Volumn 175, Issue 1, 2018, Pages 54-62

  Muetzel, Ryan L ^a   Blanken, Laura M E ^a   Jan van der Ende, ^a   Hanan El Marroun, ^a   Shaw, Philip ^a   Sudre, Gustavo ^a   Van der Lugt, Aad ^a   Jaddoe, Vincent W V ^a   Verhulst, Frank C ^a   Tiemeier, Henning ^a   White, Tonya ^a  

^a NATIONAL HUMAN GENOME RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMYGDALA; ANXIETY DISORDER; ARTICLE; ATTENTION DEFICIT DISORDER; BRAIN DEVELOPMENT; BRAIN SIZE; CHILD; CHILD BEHAVIOR CHECKLIST; COHORT ANALYSIS; CONTROLLED STUDY; FEMALE; FRACTIONAL ANISOTROPY; GRAY MATTER; HUMAN; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; MENTAL DISEASE; MOOD DISORDER; NUCLEAR MAGNETIC RESONANCE IMAGING; OPPOSITIONAL DEFIANT DISORDER; ORBITAL CORTEX; POPULATION RESEARCH; PREDICTION; PRIORITY JOURNAL; PROBLEM BEHAVIOR; PROSPECTIVE STUDY; WHITE MATTER; BEHAVIORAL SCIENCE; BRAIN; CHILD BEHAVIOR; CONNECTOME; DIAGNOSTIC IMAGING; DIFFUSION TENSOR IMAGING; GROWTH, DEVELOPMENT AND AGING; NEUROIMAGING; PHYSIOLOGY; PROCEDURES; PSYCHOLOGY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; SYMPTOM ASSESSMENT; UNITED STATES;

BIOBEHAVIORAL SCIENCES; BRAIN; CHILD; CHILD BEHAVIOR; CONNECTOME; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; LONGITUDINAL STUDIES; MALE; MENTAL DISORDERS; MODELS, STATISTICAL; NEUROIMAGING; PROBLEM BEHAVIOR; PSYCHOPATHOLOGY; SYMPTOM ASSESSMENT; UNITED STATES;

EID: 85040347782     PISSN: 0002953X     EISSN: 15357228     Source Type: Journal    
DOI: 10.1176/appi.ajp.2017.16070813     Document Type: Article

References (43)

1. Hofstra MB, van der Ende J, Verhulst FC: Child and adolescent problems predict DSM-IV disorders in adulthood: a 14-year follow-up of a Dutch epidemiological sample. J Am Acad Child Adolesc Psychiatry 2002; 41:182–189
2. Pine DS, Cohen E, Cohen P, et al: Adolescent depressive symptoms as predictors of adult depression: moodiness or mood disorder? Am J Psychiatry 1999; 156:133–135
3. Mana S, Paillère Martinot ML, Martinot JL: Brain imaging findings in children and adolescents with mental disorders: a cross-sectional review. Eur Psychiatry 2010; 25:345–354
4. Giedd JN, Raznahan A, Alexander-Bloch A, et al: Child psychiatry branch of the National Institute of Mental Health longitudinal structural magnetic resonance imaging study of human brain development. Neuropsychopharmacology 2015; 40:43–49
5. Lenroot RK, Giedd JN: Brain development in children and adolescents: insights from anatomical magnetic resonance imaging. Neurosci Biobehav Rev 2006; 30:718–729
6. Schmithorst VJ, Yuan W: White matter development during adolescence as shown by diffusion MRI. Brain Cogn 2010; 72:16–25
7. Di Martino A, Fair DA, Kelly C, et al: Unraveling the miswired connectome: a developmental perspective. Neuron 2014; 83: 1335–1353
8. Shaw P, Rabin C: New insights into attention-deficit/hyperactivity disorder using structural neuroimaging. Curr Psychiatry Rep 2009; 11:393–398
9. Nakao T, Radua J, Rubia K, et al: Gray matter volume abnormalities in ADHD: voxel-based meta-analysis exploring the effects of age and stimulant medication. Am J Psychiatry 2011; 168:1154–1163
10. Hulvershorn LA, Cullen K, Anand A: Toward dysfunctional connectivity: a review of neuroimaging findings in pediatric major depressive disorder. Brain Imaging Behav 2011; 5:307–328
11. Kraemer HC, Yesavage JA, Taylor JL, et al: How can we learn about developmental processes from cross-sectional studies, or can we? Am J Psychiatry 2000; 157:163–171
12. Garvey M, Avenevoli S, Anderson K: The National Institute of Mental Health Research Domain Criteria and clinical research in child and adolescent psychiatry. J Am Acad Child Adolesc Psychiatry 2016; 55:93–98
13. Blanken LM, Mous SE, Ghassabian A, et al: Cortical morphology in 6-to 10-year-old children with autistic traits: a population-based neuroimaging study. Am J Psychiatry 2015; 172:479–486
14. Mous SE, Muetzel RL, El Marroun H, et al: Cortical thickness and inattention/hyperactivity symptoms in young children: a population-based study. Psychol Med 2014; 44:3203–3213
15. Albaugh MD, Ducharme S, Karama S, et al: Anxious/depressed symptoms are related to microstructural maturation of white matter in typically developing youths. Dev Psychopathol (Epub ahead of print, June 14, 2016)
16. Ducharme S, Albaugh MD, Hudziak JJ, et al: Anxious/depressed symptoms are linked to right ventromedial prefrontal cortical thickness maturation in healthy children and young adults. Cereb Cortex 2014; 24:2941–2950
17. Kooijman MN, Kruithof CJ, van Duijn CM, et al: The Generation R Study: design and cohort update 2017. Eur J Epidemiol 2016; 31: 1243–1264
18. Tiemeier H, Velders FP, Szekely E, et al: The Generation R Study: a review of design, findings to date, and a study of the 5-HTTLPR by environmental interaction from fetal life onward. J Am Acad Child Adolesc Psychiatry 2012; 51:1119–1135
19. White T, El Marroun H, Nijs I, et al: Pediatric population-based neuroimaging and the Generation R Study: the intersection of developmental neuroscience and epidemiology. Eur J Epidemiol 2013; 28:99–111
20. Achenbach TM, Rescorla LA: Manual for ASEBA Preschool Forms and Profiles. Burlington, University of Vermont, Reseach Center for Children, Youth, and Families, 2000
21. Ivanova MY, Achenbach TM, Rescorla LA, et al: Preschool psychopathology reported by parents in 23 societies: testing the seven-syndrome model of the Child Behavior Checklist for ages 1.5–5. J Am Acad Child Adolesc Psychiatry 2010; 49:1215–1224
22. van Lang ND, Ferdinand RF, Oldehinkel AJ, et al: Concurrent validity of the DSM-IV scales Affective Problems and Anxiety Problems of the Youth Self-Report. Behav Res Ther 2005; 43:1485–1494
23. Basten MM, Althoff RR, Tiemeier H, et al: The dysregulation profile in young children: empirically defined classes in the Generation R study. J Am Acad Child Adolesc Psychiatry 2013; 52:841–850
24. Achenbach TM, Rescorla LA: Manual for the ASEBA School-Age Forms and Profiles. Burlington, University of Vermont, Reseach Center for Children, Youth, and Families, 2001
25. Fischl B, van der Kouwe A, Destrieux C, et al: Automatically parcellatingthehumancerebralcortex.CerebCortex2004;14:11–22
26. Jenkinson M, Beckmann CF, Behrens TE, et al: FSL. Neuroimage 2012; 62:782–790
27. Cook PA, Bai Y, Nedjati-Gilani S, et al: Camino: Open-source diffusion-MRI reconstruction and processing. In 14th Scientific Meeting of the International Society for Magnetic Resonance in Medicine. Seattle, 2006, p 2759
28. de Groot M, Ikram MA, Akoudad S, et al: Tract-specific white matter degeneration in aging: the Rotterdam Study. Alzheimers Dement 2015; 11:321–330
29. Muetzel RL, Mous SE, van der Ende J, et al: White matter integrity and cognitive performance in school-age children: a population-based neuroimaging study. Neuroimage 2015; 119:119–128
30. Hibar DP, Stein JL, Renteria ME, et al: Common genetic variants influence human subcortical brain structures. Nature 2015; 520: 224–229
31. R Core Team: R: A Language and Environment for Statistical Computing, 3.1.0 ed. Vienna, R foundation for Statistical Computing, 2014
32. Rosseel Y: lavaan: an R package for structural equation modeling. J Stat Softw 2012; 48:1–36
33. Bates D, Maechler M, Bolker B, et al: lme4: Linear mixed-effects models using Eigen and S4. https://cranr-projectorg/package=lme4
34. Benjamini Y, Hochberg Y: Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser A Stat Soc 1995; 57:289–300
35. Hamilton JP, Siemer M, Gotlib IH: Amygdala volume in major depressive disorder: a meta-analysis of magnetic resonance imaging studies. Mol Psychiatry 2008; 13:993–1000
36. Boedhoe PS, Schmaal L, Abe Y, et al: Distinct subcortical volume alterations in pediatric and adult OCD: a worldwide meta- and mega-analysis. Am J Psychiatry 2016; 174:60–69
37. White T, Nelson M, Lim KO: Diffusion tensor imaging in psychiatric disorders. Top Magn Reson Imaging 2008; 19:97–109
38. Raznahan A, Shaw PW, Lerch JP, et al: Longitudinal four-dimensional mapping of subcortical anatomy in human development. Proc Natl Acad Sci USA 2014; 111:1592–1597
39. Neumann A, Pappa I, Lahey BB, et al: Single nucleotide polymorphism heritability of a general psychopathology factor in children. J Am Acad Child Adolesc Psychiatry 2016; 55:1038–1045
40. Sui J, Adali T, Yu Q, et al: A review of multivariate methods for multimodal fusion of brain imaging data. J Neurosci Methods 2012; 204:68–81
41. Arbabshirani MR, Plis S, Sui J, et al: Single subject prediction of brain disorders in neuroimaging: promises and pitfalls. Neuroimage 2017; 145(Pt B):137–165
42. van den Heuvel OA, van Wingen G, Soriano-Mas C, et al: Brain circuitry of compulsivity. Eur Neuropsychopharmacol 2016; 26:810–827
43. Lupien SJ, McEwen BS, Gunnar MR, et al: Effects of stress throughout the lifespan on the brain, behaviour, and cognition. Nat Rev Neurosci 2009; 10:434–445