Early Childhood Development of Node Centrality in the White Matter Connectome and Its Relationship to IQ at Age 6 Years

van den Heuvel, 2012, High-cost high-capacity backbone for global brain communication, Proc Natl Acad Sci U S A, 109, 11372, 10.1073/pnas.1203593109 Li, 2009, Brain anatomical network and intelligence, PLoS Comput Biol, 5, 10.1371/journal.pcbi.1000395 Bathelt, 2018, Children’s academic attainment is linked to the global organization of the white matter connectome, Dev Sci, 21, 10.1111/desc.12662 Bathelt, 2019, Whole-brain white matter organization, intelligence, and educational attainment, Trends Neurosci Educ, 15, 38, 10.1016/j.tine.2019.02.004 Suprano, 2020, White matter microarchitecture and structural network integrity correlate with children intelligence quotient, Sci Rep, 10, 10.1038/s41598-020-76528-x Crossley, 2014, The hubs of the human connectome are generally implicated in the anatomy of brain disorders, Brain, 137, 2382, 10.1093/brain/awu132 Klauser, 2017, White matter disruptions in schizophrenia are spatially widespread and topologically converge on brain network hubs, Schizophr Bull, 43, 425 van den Heuvel, 2019, A cross-disorder connectome landscape of brain dysconnecitivity, Nat Rev Neurosci, 20, 435, 10.1038/s41583-019-0177-6 de Lange, 2019, Shared vulnerability for connectome alterations across psychiatric and neurological brain disorders, Nat Hum Behav, 3, 988, 10.1038/s41562-019-0659-6 Hagmann, 2010, White matter maturation reshapes structural connectivity in the late developing human brain, Proc Natl Acad Sci U S A, 107, 19067, 10.1073/pnas.1009073107 Yap, 2011, Development trends of white matter connectivity in the first years of life, PLoS One, 6, 10.1371/journal.pone.0024678 Huang, 2015, Development of human brain structural networks through infancy and childhood, Cereb Cortex, 25, 1389, 10.1093/cercor/bht335 Ball, 2014, Rich-club organization of the newborn human brain, Proc Natl Acad Sci U S A, 111, 7456, 10.1073/pnas.1324118111 van den Heuvel, 2015, The neonatal connectome during preterm brain development, Cereb Cortex, 25, 3000, 10.1093/cercor/bhu095 Batalle, 2017, Early development of structural networks and the impact of prematurity on brain connectivity, NeuroImage, 149, 379, 10.1016/j.neuroimage.2017.01.065 Cao, 2016, Toward developmental connectomics of the human brain, Front Neuroanat, 10, 25, 10.3389/fnana.2016.00025 Oldham, 2019, The development of brain network hubs, Dev Cogn Neurosci, 36, 10.1016/j.dcn.2018.12.005 van den Heuvel, 2013, Network hubs in the human brain, Trends Cogn Sci, 17, 683, 10.1016/j.tics.2013.09.012 Donahue, 2016, Using diffusion tractography to predict cortical connection strength and distance: A quantitative comparison with tracers in the monkey, J Neurosci, 36, 6758, 10.1523/JNEUROSCI.0493-16.2016 Shen, 2019, A macaque connectome for large-scale network simulations in TheVirtualBrain, Sci Data, 6, 123, 10.1038/s41597-019-0129-z Shen, 2019, Exploring the limits of network topology estimation using diffusion-based tractography and tracer studies in the macaque cortex, NeuroImage, 191, 81, 10.1016/j.neuroimage.2019.02.018 Haber, 2020, Circuits, networks, and neuropsychiatric disease: Transitioning from anatomy to imaging, Biol Psychiatry, 87, 318, 10.1016/j.biopsych.2019.10.024 Mišić, 2016, Network-level structure-function relationships in human neocortex, Cereb Cortex, 26, 3285, 10.1093/cercor/bhw089 Rubinov, 2010, Complex network measures of brain connectivity: Uses and interpretations, NeuroImage, 52, 1059, 10.1016/j.neuroimage.2009.10.003 Gilmore, 2018, Imaging structural and functional brain development in early childhood, Nat Rev Neurosci, 19, 123, 10.1038/nrn.2018.1 Zamora, 2021, Subdural hemorrhage in asymptomatic neonates: Neurodevelopmental outcomes and MRI findings at 2 years, Radiology, 298, 173, 10.1148/radiol.2020201857 Kübler, 2013 Janzen, 2004, Test review: Roid GH (2003), Stanford-Binet Intelligence Scales, Fifth Edition (SB:V). Itasca, IL: Riverside Publishing. Can J Sch Psychol, 19, 235 Girault, 2020, Cortical structure and cognition in infants and toddlers, Cereb Cortex, 30, 786, 10.1093/cercor/bhz126 Gilmore, 2020, Individual variation of human cortical structure is established in the first year of life, Biol Psychiatry Cogn Neurosci Neuroimaging, 5, 971 Wang, 2014, Multi-atlas segmentation of subcortical brain structures via the AutoSeg software pipeline, Front Neuroinform, 8, 7, 10.3389/fninf.2014.00007 Shaw, 2012, Development of cortical surface area and gyrification in attention-deficit/hyperactivity disorder, Biol Psychiatry, 72, 191, 10.1016/j.biopsych.2012.01.031 Shaw, 2008, Neurodevelopmental trajectories of the human cerebral cortex, J Neurosci, 28, 3586, 10.1523/JNEUROSCI.5309-07.2008 Prastawa, 2005, Automatic segmentation of MR images of the developing newborn brain, Med Image Anal, 9, 457, 10.1016/j.media.2005.05.007 Jha, 2018, Genetic influences on neonatal cortical thickness and surface area, Hum Brain Mapp, 39, 4998, 10.1002/hbm.24340 Tzourio-Mazoyer, 2002, Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain, Neuroimage, 15, 273, 10.1006/nimg.2001.0978 Oguz, 2014, DTIPrep: Quality control of diffusion-weighted images, Front Neuroinform, 8, 4, 10.3389/fninf.2014.00004 Avants, 2011, A reproducible evaluation of ANTs similarity metric performance in brain image registration, Neuroimage, 54, 2033, 10.1016/j.neuroimage.2010.09.025 Puechmaille, 2017, CIVILITY: Cloud based interactive visualization of tractography brain connectome, Proc SPIE Int Soc Opt Eng, 10137 Whitfield-Gabrieli, 2012, Conn: A functional connectivity toolbox for correlated and anticorrelated brain networks, Brain Connect, 2, 125, 10.1089/brain.2012.0073 Fortin, 2018, Harmonization of cortical thickness measurements across scanners and sites, NeuroImage, 167, 104, 10.1016/j.neuroimage.2017.11.024 Stephens, 2020, White matter development from birth to 6 years of age: A longitudinal study, Cereb Cortex, 30, 6152, 10.1093/cercor/bhaa170 Baum, 2020, Development of structure-function coupling in human brain networks during youth, Proc Natl Acad Sci U S A, 117, 771, 10.1073/pnas.1912034117 Gao, 2015, Development of human brain cortical network architecture during infancy, Brain Struct Funct, 220, 1173, 10.1007/s00429-014-0710-3 Cao, 2017, Developmental connectomics from infancy through early childhood, Trends Neurosci, 40, 494, 10.1016/j.tins.2017.06.003 Chen, 2021, Developmental heatmaps of brain functional connectivity from newborns to 6-year-olds, Dev Cogn Neurosci, 50, 10.1016/j.dcn.2021.100976 van den Heuvel, 2011, Rich-club organization of the human connectome, J Neurosci, 31, 15775, 10.1523/JNEUROSCI.3539-11.2011 Chen, 2013, Graph theoretical analysis of developmental patterns of the white matter network, Front Hum Neurosci, 7, 716, 10.3389/fnhum.2013.00716 Assaf, 2020, Conservation of brain connectivity and wiring across the mammalian class, Nat Neurosci, 23, 805, 10.1038/s41593-020-0641-7 Kaiser, 2017, Mechanisms of connectome development, Trends Cogn Sci, 21, 703, 10.1016/j.tics.2017.05.010 Goulas, 2019, Spatiotemporal ontogeny of brain wiring, Sci Adv, 5, 10.1126/sciadv.aav9694 Arnatkeviciute, 2021, Genetic influences on hub connectivity of the human connectome, Nat Commun, 12, 4237, 10.1038/s41467-021-24306-2 Ingalhalikar, 2014, Sex differences in the structural connectome of the human brain, Proc Natl Acad Sci U S A, 111, 823, 10.1073/pnas.1316909110 Wang, 2019, Hemisphere and gender differences in the rich-club organization of structural networks, Cereb Cortex, 29, 4889, 10.1093/cercor/bhz027 Kaczkurkin, 2019, Sex differences in the developing brain: Insights from multimodal neuroimaging, Neuropsychopharmacology, 44, 71, 10.1038/s41386-018-0111-z Tamnes, 2018, Diffusion MRI of white matter microstructure development in childhood and adolescence: Methods, challenges and progress, Dev Cogn Neurosci, 33, 161, 10.1016/j.dcn.2017.12.002 Kawahara, 2017, BrainNetCNN: Convolutional neural networks for brain networks; towards predicting neurodevelopment, Neuroimage, 146, 1038, 10.1016/j.neuroimage.2016.09.046 Girault, 2019, White matter connectomes at birth accurately predict cognitive abilities at age 2, NeuroImage, 192, 145, 10.1016/j.neuroimage.2019.02.060 Munsell, 2020, Personalized connectome fingerprints: Their importance in cognition from childhood to adult years, Neuroimage, 221, 10.1016/j.neuroimage.2020.117122 Chen, 2020, Early prediction of cognitive deficit in very preterm infants using brain structural connectome with transfer learning enhanced deep convolutional neural networks, Front Neurosci, 14, 858, 10.3389/fnins.2020.00858 Gilmore, 2021, The white matter connectome as an early imaging biomarker, Biol Psychiatry, 89 Kim, 2016, Children’s intellectual ability is associated with structural network integrity, NeuroImage, 124, 550, 10.1016/j.neuroimage.2015.09.012 Xia, 2013, BrainNet Viewer: A network visualization tool for human brain connectomics, PLoS One, 8