Unique developmental trajectories of cortical thickness and surface area

Blanton, 2001, Mapping cortical asymmetry and complexity patterns in normal children, Psychiatry Res., 107, 29, 10.1016/S0925-4927(01)00091-9 Clarkson, 2011, A comparison of voxel and surface based cortical thickness estimation methods, NeuroImage, 57, 856, 10.1016/j.neuroimage.2011.05.053 Costello, 1985, Validity of the NIMH diagnostic interview schedule for children: a comparison between psychiatric and pediatric referrals, J. Abnorm. Child Psychol., 13, 579, 10.1007/BF00923143 Dale, 1999, Cortical surface-based analysis: i. segmentation and surface reconstruction, NeuroImage, 9, 179, 10.1006/nimg.1998.0395 Desikan, 2006, An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest, NeuroImage, 31, 968, 10.1016/j.neuroimage.2006.01.021 Dewey, 2010, Reliability and validity of MRI-based automated volumetry software relative to auto-assisted manual measurement of subcortical structures in HIV-infected patients from a multisite study, NeuroImage, 51, 1334, 10.1016/j.neuroimage.2010.03.033 Durston, 2009, Magnetic resonance simulation is effective in reducing anxiety related to magnetic resonance scanning in children, J. Am. Acad. Child Adolesc. Psychiatry, 48, 206, 10.1097/CHI.0b013e3181930673 Fischl, 2000, Measuring the thickness of the human cerebral cortex from magnetic resonance images, Proc. Natl. Acad. Sci. U. S. A., 97, 11050, 10.1073/pnas.200033797 Fischl, 1999, Cortical surface-based analysis: II: inflation, flattening, and a surface-based coordinate system, NeuroImage, 9, 195, 10.1006/nimg.1998.0396 Fischl, 2001, Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex, IEEE Med. Imaging, 20, 70, 10.1109/42.906426 Fischl, 2004, Sequence-independent segmentation of magnetic resonance images, NeuroImage, 23, S69, 10.1016/j.neuroimage.2004.07.016 Fischl, 2004, Automatically parcellating the human cerebral cortex, Cereb. Cortex, 14, 11, 10.1093/cercor/bhg087 Fox, 2002, Linear mixed models-appendix to an R and S-PLUS companion to applied regression, Relation, 10, 5261 Giedd, 2010, Structural MRI of pediatric brain development: what have we learned and where are we going?, Neuron, 67, 728, 10.1016/j.neuron.2010.08.040 Giedd, 1999, Brain development during childhood and adolescence: a longitudinal MRI study, Nat. Neurosci., 2, 861, 10.1038/13158 Gogtay, 2004, Dynamic mapping of human cortical development during childhood through early adulthood, Proc. Natl. Acad. Sci. U. S. A., 101, 8174, 10.1073/pnas.0402680101 Ghosh, 2010, Evaluating the validity of volume-based and surface-based brain image registration for developmental cognitive neuroscience studies in children 4 to 11 years of age, NeuroImage, 53, 85, 10.1016/j.neuroimage.2010.05.075 Han, 2006, Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer, NeuroImage, 32, 180, 10.1016/j.neuroimage.2006.02.051 Hill, 2010, Similar patterns of cortical expansion during human development and evolution, Proc. Natl. Acad. Sci., 107, 13135, 10.1073/pnas.1001229107 Hutton, 2009, A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging, NeuroImage, 48, 371, 10.1016/j.neuroimage.2009.06.043 Jansen, 2005, Genetics of the polymicrogyria syndromes, J. Med. Genet., 42, 369, 10.1136/jmg.2004.023952 Lenroot, 2007, Sexual dimorphism of brain developmental trajectories during childhood and adolescence, NeuroImage, 36, 1065, 10.1016/j.neuroimage.2007.03.053 Lenroot, 2009, Differences in genetic and environmental influences on the human cerebral cortex associated with development during childhood and adolescence, Hum. Brain Mapp., 30, 163, 10.1002/hbm.20494 Luders, 2006, Gender effects on cortical thickness and the influence of scaling, Hum. Brain Mapp., 27, 314, 10.1002/hbm.20187 Nopoulos, 2000, Sexual dimorphism in the human brain: evaluation of tissue volume, tissue composition and surface anatomy using magnetic resonance imaging, Psychiatry Res. Neuroimaging, 98, 1, 10.1016/S0925-4927(99)00044-X Panizzon, 2009, Distinct genetic influences on cortical surface area and cortical thickness, Cereb. Cortex, 19, 2728, 10.1093/cercor/bhp026 Piao, 2004, G protein-coupled receptor-dependent development of human frontal cortex, Sci. Signal., 303, 2033 Rakic, 1995, A small step for the cell, a giant leap for mankind: a hypothesis of neocortical expansion during evolution, Trends Neurosci., 18, 383, 10.1016/0166-2236(95)93934-P Raznahan, 2011, How does your cortex grow?, J. Neurosci., 31, 7174, 10.1523/JNEUROSCI.0054-11.2011 Reiss, 1996, Brain development, gender and IQ in children. A volumetric imaging study, Brain, 119, 1763, 10.1093/brain/119.5.1763 Reuter, 2011, Avoiding asymmetry-induced bias in longitudinal image processing, NeuroImage, 57, 19, 10.1016/j.neuroimage.2011.02.076 Reuter, 2010, Highly accurate inverse consistent registration: a robust approach, NeuroImage, 53, 1181, 10.1016/j.neuroimage.2010.07.020 Reuter, 2012, Within-subject template estimation for unbiased longitudinal image analysis, NeuroImage, 61, 1402, 10.1016/j.neuroimage.2012.02.084 Salat, 2004, Thinning of the cerebral cortex in aging, Cereb. Cortex, 14, 721, 10.1093/cercor/bhh032 Salinas, 2012, Sex differences in parietal lobe structure and development, Gend. Med., 9, 44, 10.1016/j.genm.2012.01.003 Segonne, 2004, A hybrid approach to the skull stripping problem in MRI, NeuroImage, 22, 1060, 10.1016/j.neuroimage.2004.03.032 Segonne, 2007, Geometrically accurate topology-correction of cortical surfaces using nonseparating loops, IEEE Trans. Med. Imaging, 26, 518, 10.1109/TMI.2006.887364 Shaw, 2006, Intellectual ability and cortical development in children and adolescents, Nature, 440, 676, 10.1038/nature04513 Shaw, 2008, Neurodevelopmental trajectories of the human cerebral cortex, J. Neurosci., 28, 3586, 10.1523/JNEUROSCI.5309-07.2008 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 Sheehan, 1998, The mini-international neuropsychiatric interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10, J. Clin. Psychiatry, 59, 22 Sled, 1998, A nonparametric method for automatic correction of intensity nonuniformity in MRI data, IEEE Trans. Med. Imaging, 17, 87, 10.1109/42.668698 Sowell, 1999, In vivo evidence for post-adolescent brain maturation in frontal and striatal regions, Nat. Neurosci., 2, 859, 10.1038/13154 Sowell, 2001, Mapping continued brain growth and gray matter density reduction in dorsal frontal cortex: inverse relationships during postadolescent brain maturation, J. Neurosci., 21, 8819, 10.1523/JNEUROSCI.21-22-08819.2001 Sowell, 2002, Development of cortical and subcortical brain structures in childhood and adolescence: a structural MRI study, Dev. Med. Child Neurol., 44, 4, 10.1017/S0012162201001591 Sowell, 2004, Longitudinal mapping of cortical thickness and brain growth in normal children, J. Neurosci., 24, 8223, 10.1523/JNEUROSCI.1798-04.2004 Sowell, 2006, Sex differences in cortical thickness mapped in 176 healthy individuals between 7 and 87 years of age, Cereb. Cortex, 17, 1550, 10.1093/cercor/bhl066 Strien, 2003 Tamnes, 2011, The brain dynamics of intellectual development: waxing and waning white and gray matter, Neuropsychologia, 49, 3605, 10.1016/j.neuropsychologia.2011.09.012 Van Haasen, 1986 Wechsler, 2000, wechsler adult intelligence scale-third edition (WAIS- III): Nederlandstalige Bewerking Wilke, 2007, Global and local development of gray and white matter volume in normal children and adolescents, Exp. Brain Res., 178, 296, 10.1007/s00221-006-0732-z