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Published in: European Journal of Epidemiology 1/2013

01-01-2013 | NEW STUDY

Pediatric population-based neuroimaging and the Generation R Study: the intersection of developmental neuroscience and epidemiology

Authors: Tonya White, Hanan El Marroun, Ilse Nijs, Marcus Schmidt, Aad van der Lugt, Piotr A. Wielopolki, Vincent W. V. Jaddoe, Albert Hofman, Gabriel P. Krestin, Henning Tiemeier, Frank C. Verhulst

Published in: European Journal of Epidemiology | Issue 1/2013

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Abstract

Neuroimaging studies of typically developing children and adolescents have provided valuable information on global and regional developmental trajectories of brain development. As these studies become larger and population-based, they are generating an intersection between the fields of developmental neuroscience and epidemiology. However, few of these studies have adequately probed the contribution of multiple environmental and genetic factors on brain development. Studies designed to optimally evaluate the role of multiple environmental and genetic factors on brain development require both large sample sizes and the prospective collection of multiple environmental factors. The Generation R Study is a large, prospective, prenatal-cohort study of nearly 10,000 children that began in 2002 in Rotterdam, the Netherlands. In September of 2009, 6–8 year old children from the Generation R Study were invited to participate in a magnetic resonance imaging component of the study. We provide an overview of the study design and experience for the first 801 children recruited for the neuroimaging component of the study. The protocol includes a 1-h neuropsychological assessment using the NEPSY-II, a mock scanning session, and a neuroimaging session that includes high-resolution structural, diffusion tensor, and resting-state functional MRI sequences. Image quality has been good to excellent in over 80 % of the children to date. The infusion of imaging into the Generation R Study will set the stage for evaluating the role of multiple environmental and genetic factors in both typical and atypical neurodevelopment.
Literature
1.
go back to reference Kandel ER, Schwartz JH, Jessell TM. Principles of neural science. 4th ed. New York: McGraw-Hill Health Professions Division; 2000. Kandel ER, Schwartz JH, Jessell TM. Principles of neural science. 4th ed. New York: McGraw-Hill Health Professions Division; 2000.
2.
go back to reference Pomeroy SL, Kim JY. Biology and pathobiology of neuronal development. Ment Retard Dev Disabil Res Rev. 2000;6(1):41–6.PubMedCrossRef Pomeroy SL, Kim JY. Biology and pathobiology of neuronal development. Ment Retard Dev Disabil Res Rev. 2000;6(1):41–6.PubMedCrossRef
4.
go back to reference Huttenlocher PR. Morphometric study of human cerebral cortex development. Neuropsychologia. 1990;28(6):517–27.PubMedCrossRef Huttenlocher PR. Morphometric study of human cerebral cortex development. Neuropsychologia. 1990;28(6):517–27.PubMedCrossRef
5.
go back to reference Huttenlocher PR, De Courten C, Garey LJ, van der Loos H. Synaptic development in human cerebral cortex. Int J Neurol. 1982;17:144–54. Huttenlocher PR, De Courten C, Garey LJ, van der Loos H. Synaptic development in human cerebral cortex. Int J Neurol. 1982;17:144–54.
6.
go back to reference Yakovlev PI, Lecours AR. The myelogenetic cycles of regional maturation of the brain. In: Minkowski A, editor. Regional development of the brain in early life. Oxford: Blackwell; 1967. p. 3–70. Yakovlev PI, Lecours AR. The myelogenetic cycles of regional maturation of the brain. In: Minkowski A, editor. Regional development of the brain in early life. Oxford: Blackwell; 1967. p. 3–70.
7.
go back to reference Huttenlocher P. Developmental anatomy of the prefrontal cortex. In: Krasnegor N, editor. Development of the prefrontal cortex: evolution, neurobiology, and behavior. Baltimore: Paul H. Brookes Publishing Co., Inc.; 1997. p. 69–83. Huttenlocher P. Developmental anatomy of the prefrontal cortex. In: Krasnegor N, editor. Development of the prefrontal cortex: evolution, neurobiology, and behavior. Baltimore: Paul H. Brookes Publishing Co., Inc.; 1997. p. 69–83.
8.
go back to reference Huttenlocher PR, de Courten C. The development of synapses in striate cortex of man. Hum Neurobiol. 1987;6(1):1–9.PubMed Huttenlocher PR, de Courten C. The development of synapses in striate cortex of man. Hum Neurobiol. 1987;6(1):1–9.PubMed
13.
go back to reference Hofman A, Jaddoe VW, Mackenbach JP, Moll HA, Snijders RF, Steegers EA, et al. Growth, development and health from early fetal life until young adulthood: the Generation R Study. Paediatr Perinat Epidemiol. 2004;18(1):61–72.PubMedCrossRef Hofman A, Jaddoe VW, Mackenbach JP, Moll HA, Snijders RF, Steegers EA, et al. Growth, development and health from early fetal life until young adulthood: the Generation R Study. Paediatr Perinat Epidemiol. 2004;18(1):61–72.PubMedCrossRef
14.
go back to reference Tiemeier H, Velders FP, Szekely E, Roza SJ, Dieleman G, Jaddoe VW 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(11):1119–35 e7. doi:10.1016/j.jaac.2012.08.021. Tiemeier H, Velders FP, Szekely E, Roza SJ, Dieleman G, Jaddoe VW 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(11):1119–35 e7. doi:10.​1016/​j.​jaac.​2012.​08.​021.
15.
go back to reference Verburg BO, Steegers EA, De Ridder M, Snijders RJ, Smith E, Hofman A, et al. New charts for ultrasound dating of pregnancy and assessment of fetal growth: longitudinal data from a population-based cohort study. Ultrasound Obstet Gynecol. 2008;31(4):388–96. doi:10.1002/uog.5225.PubMedCrossRef Verburg BO, Steegers EA, De Ridder M, Snijders RJ, Smith E, Hofman A, et al. New charts for ultrasound dating of pregnancy and assessment of fetal growth: longitudinal data from a population-based cohort study. Ultrasound Obstet Gynecol. 2008;31(4):388–96. doi:10.​1002/​uog.​5225.PubMedCrossRef
18.
go back to reference Brooks BL, Sherman EM, Strauss E. Test Review: NEPSY-II: a developmental neuropsychological assessment, second edition. Child Neuropsychol. 2010;16:80–101.CrossRef Brooks BL, Sherman EM, Strauss E. Test Review: NEPSY-II: a developmental neuropsychological assessment, second edition. Child Neuropsychol. 2010;16:80–101.CrossRef
19.
go back to reference Oldfield RC. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia. 1971;9(1):97–113.PubMedCrossRef Oldfield RC. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia. 1971;9(1):97–113.PubMedCrossRef
20.
go back to reference Durston S, Nederveen H, van Dijk S, van Belle J, de Zeeuw P, Langen M, et al. Magnetic resonance simulation is effective in reducing anxiety related to magnetic resonance scanning in children. J Am Acad Child Adolesc Psychiatry. 2009;48(2):206–7. doi:10.1097/CHI.0b013e3181930673.PubMedCrossRef Durston S, Nederveen H, van Dijk S, van Belle J, de Zeeuw P, Langen M, et al. Magnetic resonance simulation is effective in reducing anxiety related to magnetic resonance scanning in children. J Am Acad Child Adolesc Psychiatry. 2009;48(2):206–7. doi:10.​1097/​CHI.​0b013e3181930673​.PubMedCrossRef
23.
go back to reference Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE, et al. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage. 2006;31(4):1487–505.PubMedCrossRef Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE, et al. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage. 2006;31(4):1487–505.PubMedCrossRef
25.
go back to reference Cox RW. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res. 1996;29(3):162–73.PubMedCrossRef Cox RW. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res. 1996;29(3):162–73.PubMedCrossRef
26.
go back to reference Kim DI, Manoach DS, Mathalon DH, Turner JA, Mannell M, Brown GG, et al. Dysregulation of working memory and default-mode networks in schizophrenia using independent component analysis, an fBIRN and MCIC study. Hum Brain Mapp. 2009;30(11):3795–811. doi:10.1002/hbm.20807.PubMedCrossRef Kim DI, Manoach DS, Mathalon DH, Turner JA, Mannell M, Brown GG, et al. Dysregulation of working memory and default-mode networks in schizophrenia using independent component analysis, an fBIRN and MCIC study. Hum Brain Mapp. 2009;30(11):3795–811. doi:10.​1002/​hbm.​20807.PubMedCrossRef
28.
go back to reference Langeslag SJ, Schmidt M, Ghassabian A, Jaddoe VW, Hofman A, van der Lugt A, et al. Functional connectivity between parietal and frontal brain regions and intelligence in young children: the Generation R study. Hum Brain Mapp. 2012;. doi:10.1002/hbm.22143. Langeslag SJ, Schmidt M, Ghassabian A, Jaddoe VW, Hofman A, van der Lugt A, et al. Functional connectivity between parietal and frontal brain regions and intelligence in young children: the Generation R study. Hum Brain Mapp. 2012;. doi:10.​1002/​hbm.​22143.
29.
go back to reference Gemeente-Rotterdam. Bevolking van Rotterdam naar etniciteit (CBS-definitie), op 1-1-2001 t/m 2011 Centrum voor Onderzoek en Statistiek, Rotterdam, the Netherlands. http://www.cos.rotterdam.nl/ (2011). Accessed 23 June 2011. Gemeente-Rotterdam. Bevolking van Rotterdam naar etniciteit (CBS-definitie), op 1-1-2001 t/m 2011 Centrum voor Onderzoek en Statistiek, Rotterdam, the Netherlands. http://​www.​cos.​rotterdam.​nl/​ (2011). Accessed 23 June 2011.
30.
go back to reference NINDS. Genes at work in the brain. Bethesda, Maryland: National Institutes of Neurological Disorders and Stroke. U.S. Department of Health and Human Services; 2010. NINDS. Genes at work in the brain. Bethesda, Maryland: National Institutes of Neurological Disorders and Stroke. U.S. Department of Health and Human Services; 2010.
31.
go back to reference White T, Andreasen NC, Nopoulos P. Brain volumes and surface morphology in monozygotic twins. Cereb Cortex. 2002;12(5):486–93.PubMedCrossRef White T, Andreasen NC, Nopoulos P. Brain volumes and surface morphology in monozygotic twins. Cereb Cortex. 2002;12(5):486–93.PubMedCrossRef
32.
go back to reference Bartley AJ, Jones DW, Weinberger DR. Genetic variability of human brain size and cortical gyral patterns. Brain. 1997;120(Pt 2):257–69.PubMedCrossRef Bartley AJ, Jones DW, Weinberger DR. Genetic variability of human brain size and cortical gyral patterns. Brain. 1997;120(Pt 2):257–69.PubMedCrossRef
33.
34.
go back to reference Roza SJ, Verburg BO, Jaddoe VW, Hofman A, Mackenbach JP, Steegers EA et al. Effects of maternal smoking in pregnancy on prenatal brain development. The Generation R Study. Eur J Neurosci. 2007;25(3):611–7. doi:10.1111/j.1460-9568.2007.05393.x. Roza SJ, Verburg BO, Jaddoe VW, Hofman A, Mackenbach JP, Steegers EA et al. Effects of maternal smoking in pregnancy on prenatal brain development. The Generation R Study. Eur J Neurosci. 2007;25(3):611–7. doi:10.​1111/​j.​1460-9568.​2007.​05393.​x.
35.
36.
go back to reference Waber DP, De Moor C, Forbes PW, Almli CR, Botteron KN, Leonard G, et al. The NIH MRI study of normal brain development: performance of a population based sample of healthy children aged 6 to 18 years on a neuropsychological battery. J Int Neuropsychol Soc. 2007;13(5):729–46. doi:10.1017/S1355617707070841.PubMedCrossRef Waber DP, De Moor C, Forbes PW, Almli CR, Botteron KN, Leonard G, et al. The NIH MRI study of normal brain development: performance of a population based sample of healthy children aged 6 to 18 years on a neuropsychological battery. J Int Neuropsychol Soc. 2007;13(5):729–46. doi:10.​1017/​S135561770707084​1.PubMedCrossRef
38.
go back to reference Sowell ER, Thompson PM, Leonard CM, Welcome SE, Kan E, Toga AW. Longitudinal mapping of cortical thickness and brain growth in normal children. J Neurosci. 2004;24(38):8223–31.PubMedCrossRef Sowell ER, Thompson PM, Leonard CM, Welcome SE, Kan E, Toga AW. Longitudinal mapping of cortical thickness and brain growth in normal children. J Neurosci. 2004;24(38):8223–31.PubMedCrossRef
39.
go back to reference Pfefferbaum A, Mathalon DH, Sullivan EV, Rawles JM, Zipursky RB, Lim KO. A quantitative magnetic resonance imaging study of changes in brain morphology from infancy to late adulthood. Arch Neurol. 1994;51(9):874–87.PubMedCrossRef Pfefferbaum A, Mathalon DH, Sullivan EV, Rawles JM, Zipursky RB, Lim KO. A quantitative magnetic resonance imaging study of changes in brain morphology from infancy to late adulthood. Arch Neurol. 1994;51(9):874–87.PubMedCrossRef
40.
go back to reference Jernigan TL, Trauner DA, Hesselink JR, Tallal PA. Maturation of human cerebrum observed in vivo during adolescence. Brain. 1991;114(Pt 5):2037–49.PubMedCrossRef Jernigan TL, Trauner DA, Hesselink JR, Tallal PA. Maturation of human cerebrum observed in vivo during adolescence. Brain. 1991;114(Pt 5):2037–49.PubMedCrossRef
41.
go back to reference Giedd JN, Blumenthal J, Jeffries NO, Castellanos FX, Liu H, Zijdenbos A, et al. Brain development during childhood and adolescence: a longitudinal MRI study. Nat Neurosci. 1999;2(10):861–3. doi:10.1038/13158.PubMedCrossRef Giedd JN, Blumenthal J, Jeffries NO, Castellanos FX, Liu H, Zijdenbos A, et al. Brain development during childhood and adolescence: a longitudinal MRI study. Nat Neurosci. 1999;2(10):861–3. doi:10.​1038/​13158.PubMedCrossRef
43.
go back to reference Pausova Z, Paus T, Abrahamowicz M, Almerigi J, Arbour N, Bernard M, et al. Genes, maternal smoking, and the offspring brain and body during adolescence: design of the Saguenay Youth Study. Hum Brain Mapp. 2007;28(6):502–18. doi:10.1002/hbm.20402.PubMedCrossRef Pausova Z, Paus T, Abrahamowicz M, Almerigi J, Arbour N, Bernard M, et al. Genes, maternal smoking, and the offspring brain and body during adolescence: design of the Saguenay Youth Study. Hum Brain Mapp. 2007;28(6):502–18. doi:10.​1002/​hbm.​20402.PubMedCrossRef
44.
go back to reference Schumann G, Loth E, Banaschewski T, Barbot A, Barker G, Buchel C, et al. The IMAGEN study: reinforcement-related behaviour in normal brain function and psychopathology. Mol Psychiatry. 2010;15(12):1128–39. doi:10.1038/mp.2010.4.PubMedCrossRef Schumann G, Loth E, Banaschewski T, Barbot A, Barker G, Buchel C, et al. The IMAGEN study: reinforcement-related behaviour in normal brain function and psychopathology. Mol Psychiatry. 2010;15(12):1128–39. doi:10.​1038/​mp.​2010.​4.PubMedCrossRef
47.
go back to reference Giedd JN, Lenroot RK, Shaw P, Lalonde F, Celano M, White S et al. Trajectories of anatomic brain development as a phenotype. Novartis Found Symp. 2008;289:101–12; discussion 12-8, 93-5. Giedd JN, Lenroot RK, Shaw P, Lalonde F, Celano M, White S et al. Trajectories of anatomic brain development as a phenotype. Novartis Found Symp. 2008;289:101–12; discussion 12-8, 93-5.
48.
go back to reference Gogtay N, Giedd JN, Lusk L, Hayashi KM, Greenstein D, Vaituzis AC, et al. Dynamic mapping of human cortical development during childhood through early adulthood. Proc Natl Acad Sci USA. 2004;101(21):8174–9. doi:10.1073/pnas.0402680101.PubMedCrossRef Gogtay N, Giedd JN, Lusk L, Hayashi KM, Greenstein D, Vaituzis AC, et al. Dynamic mapping of human cortical development during childhood through early adulthood. Proc Natl Acad Sci USA. 2004;101(21):8174–9. doi:10.​1073/​pnas.​0402680101.PubMedCrossRef
50.
go back to reference Luciana M, Nelson CA. The functional emergence of prefrontally-guided working memory systems in four- to eight-year-old children. Neuropsychologia. 1998;36(3):273–93.PubMedCrossRef Luciana M, Nelson CA. The functional emergence of prefrontally-guided working memory systems in four- to eight-year-old children. Neuropsychologia. 1998;36(3):273–93.PubMedCrossRef
Metadata
Title
Pediatric population-based neuroimaging and the Generation R Study: the intersection of developmental neuroscience and epidemiology
Authors
Tonya White
Hanan El Marroun
Ilse Nijs
Marcus Schmidt
Aad van der Lugt
Piotr A. Wielopolki
Vincent W. V. Jaddoe
Albert Hofman
Gabriel P. Krestin
Henning Tiemeier
Frank C. Verhulst
Publication date
01-01-2013
Publisher
Springer Netherlands
Published in
European Journal of Epidemiology / Issue 1/2013
Print ISSN: 0393-2990
Electronic ISSN: 1573-7284
DOI
https://doi.org/10.1007/s10654-013-9768-0

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