TY - JOUR
T1 - Testing relationships between multimodal modes of brain structural variation and age, sex and polygenic scores for neuroticism in children and adolescents
AU - Norbom, Linn B.
AU - Rokicki, Jaroslav
AU - van der Meer, Dennis
AU - Alnaes, Dag
AU - Nhat Trung Doan, null
AU - Moberget, Torgeir
AU - Kaufmann, Tobias
AU - Andreassen, Ole A.
AU - Westlye, Lars T.
AU - Tamnes, Christian K.
N1 - Funding Information:
The current work was supported by the Research Council of Norway (223273, 249795, 230345, 288083), the South-Eastern Norway Regional Health Authority (2014097, 2016083, 2019069), and the European Commission’s 7th Framework Programme (602450, IMAGEMEND). The Pediatric Imaging, Neurocognition and Genetics Study (PING) in part provided data. The National Institutes of Health (Grant RC2DA029475), and the National Institute on Drug Abuse and the Eunice Kennedy Shriver National Institute of Child Health & Human Development funded collection and sharing. PING data are disseminated by the PING Coordinating Center at the Center for Human Development, University of California, San Diego. Data was also in part from the Philadelphia Neurodevelopment Cohort (PNC), and support for this collection was provided by grant RC2MH089983 to Raquel Gur, and RC2MH089924 to Hakon Hakonarson. The participants were recruited through the Center for Applied Genomics at The Children’s Hospital in Philadelphia.
Publisher Copyright:
© 2020, The Author(s).
PY - 2020/7/24
Y1 - 2020/7/24
N2 - Human brain development involves spatially and temporally heterogeneous changes, detectable across a wide range of magnetic resonance imaging (MRI) measures. Investigating the interplay between multimodal MRI and polygenic scores (PGS) for personality traits associated with mental disorders in youth may provide new knowledge about typical and atypical neurodevelopment. We derived independent components across cortical thickness, cortical surface area, and grey/white matter contrast (GWC) (n=2596, 3-23 years), and tested for associations between these components and age, sex and-, in a subsample (n=878), PGS for neuroticism. Age was negatively associated with a single-modality component reflecting higher global GWC, and additionally with components capturing common variance between global thickness and GWC, and several multimodal regional patterns. Sex differences were found for components primarily capturing global and regional surface area (boys>girls), but also regional cortical thickness. For PGS for neuroticism, we found weak and bidirectional associations with a component reflecting right prefrontal surface area. These results indicate that multimodal fusion is sensitive to age and sex differences in brain structure in youth, but only weakly to polygenic load for neuroticism.
AB - Human brain development involves spatially and temporally heterogeneous changes, detectable across a wide range of magnetic resonance imaging (MRI) measures. Investigating the interplay between multimodal MRI and polygenic scores (PGS) for personality traits associated with mental disorders in youth may provide new knowledge about typical and atypical neurodevelopment. We derived independent components across cortical thickness, cortical surface area, and grey/white matter contrast (GWC) (n=2596, 3-23 years), and tested for associations between these components and age, sex and-, in a subsample (n=878), PGS for neuroticism. Age was negatively associated with a single-modality component reflecting higher global GWC, and additionally with components capturing common variance between global thickness and GWC, and several multimodal regional patterns. Sex differences were found for components primarily capturing global and regional surface area (boys>girls), but also regional cortical thickness. For PGS for neuroticism, we found weak and bidirectional associations with a component reflecting right prefrontal surface area. These results indicate that multimodal fusion is sensitive to age and sex differences in brain structure in youth, but only weakly to polygenic load for neuroticism.
KW - SURFACE-BASED ANALYSIS
KW - CORTICAL THICKNESS
KW - LONGITUDINAL CHANGES
KW - PUBERTAL CHANGES
KW - MATTER CONTRAST
KW - CEREBRAL-CORTEX
KW - WHITE
KW - GRAY
KW - AREA
KW - MRI
U2 - 10.1038/s41398-020-00931-1
DO - 10.1038/s41398-020-00931-1
M3 - Article
C2 - 32710012
SN - 2158-3188
VL - 10
JO - Translational Psychiatry
JF - Translational Psychiatry
IS - 1
M1 - 251
ER -