Paediatric population neuroimaging and the Generation R Study: the second wave
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Paediatric population neuroimaging and the Generation R Study : the second wave. / White, Tonya; Muetzel, Ryan L.; El Marroun, Hanan; Blanken, Laura M.E.; Jansen, Philip; Bolhuis, Koen; Kocevska, Desana; Mous, Sabine E.; Mulder, Rosa; Jaddoe, Vincent W.V.; van der Lugt, Aad; Verhulst, Frank C.; Tiemeier, Henning.
I: European Journal of Epidemiology, Bind 33, Nr. 1, 2018, s. 99–125.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Paediatric population neuroimaging and the Generation R Study
T2 - the second wave
AU - White, Tonya
AU - Muetzel, Ryan L.
AU - El Marroun, Hanan
AU - Blanken, Laura M.E.
AU - Jansen, Philip
AU - Bolhuis, Koen
AU - Kocevska, Desana
AU - Mous, Sabine E.
AU - Mulder, Rosa
AU - Jaddoe, Vincent W.V.
AU - van der Lugt, Aad
AU - Verhulst, Frank C.
AU - Tiemeier, Henning
PY - 2018
Y1 - 2018
N2 - Paediatric population neuroimaging is an emerging field that falls at the intersection between developmental neuroscience and epidemiology. A key feature of population neuroimaging studies involves large-scale recruitment that is representative of the general population. One successful approach for population neuroimaging is to embed neuroimaging studies within large epidemiological cohorts. The Generation R Study is a large, prospective population-based birth-cohort in which nearly 10,000 pregnant mothers were recruited between 2002 and 2006 with repeated measurements in the children and their parents over time. Magnetic resonance imaging was included in 2009 with the scanning of 1070 6-to-9-year-old children. The second neuroimaging wave was initiated in April 2013 with a total of 4245 visiting the MRI suite and 4087 9-to-11-year-old children being scanned. The sequences included high-resolution structural MRI, 35-direction diffusion weighted imaging, and a 6 min and 2 s resting-state functional MRI scan. The goal of this paper is to provide an overview of the imaging protocol and the overlap between the neuroimaging data and metadata. We conclude by providing a brief overview of results from our first wave of neuroimaging, which highlights a diverse array of questions that can be addressed by merging the fields of developmental neuroscience and epidemiology.
AB - Paediatric population neuroimaging is an emerging field that falls at the intersection between developmental neuroscience and epidemiology. A key feature of population neuroimaging studies involves large-scale recruitment that is representative of the general population. One successful approach for population neuroimaging is to embed neuroimaging studies within large epidemiological cohorts. The Generation R Study is a large, prospective population-based birth-cohort in which nearly 10,000 pregnant mothers were recruited between 2002 and 2006 with repeated measurements in the children and their parents over time. Magnetic resonance imaging was included in 2009 with the scanning of 1070 6-to-9-year-old children. The second neuroimaging wave was initiated in April 2013 with a total of 4245 visiting the MRI suite and 4087 9-to-11-year-old children being scanned. The sequences included high-resolution structural MRI, 35-direction diffusion weighted imaging, and a 6 min and 2 s resting-state functional MRI scan. The goal of this paper is to provide an overview of the imaging protocol and the overlap between the neuroimaging data and metadata. We conclude by providing a brief overview of results from our first wave of neuroimaging, which highlights a diverse array of questions that can be addressed by merging the fields of developmental neuroscience and epidemiology.
KW - Autism spectrum disorders
KW - Behaviour
KW - Brain development
KW - Cognitive development
KW - Developmental neuroscience
KW - Neurodevelopment
KW - Neuroimaging
U2 - 10.1007/s10654-017-0319-y
DO - 10.1007/s10654-017-0319-y
M3 - Journal article
C2 - 29064008
AN - SCOPUS:85032032308
VL - 33
SP - 99
EP - 125
JO - European Journal of Epidemiology
JF - European Journal of Epidemiology
SN - 0393-2990
IS - 1
ER -
ID: 189627974