Linear and curvilinear correlations of brain white matter volume, fractional anisotropy, and mean diffusivity with age using voxel‐based and region‐of‐interest analyses in 246 healthy children

In this study, we examined linear and curvilinear correlations of fractional anisotropy (FA), mean diffusivity (MD), and white matter volume with age by using brain structural and diffusion‐tensor magnetic resonance imaging (MRI) in a large number of healthy children and voxel‐based morphometry (VBM) and region‐of‐interest (ROI) analyses. We collected data by brain structural MRI in 246 healthy children, aged 5–18 years. FA and MD images were normalized using the normalization parameter of the corresponding structural MRI. Next, we analyzed the correlations between FA and age and between MD and age by estimating linear and logarithmic functions. We also analyzed the correlation between white matter volume and age by linear, quadratic, and cubic functions. Correlations between FA and age and between MD and age showed exponential trajectories in most ROIs in boys and girls, except for several fibers, such as the corpus callosum connecting the bilateral rectal gyri in boys. The correlation between white matter volume and age showed significant positive linear trajectories in most ROIs in boys and girls, except for a few fibers, such as the bilateral uncinate fasciculus. Additionally, maturational rates differed among major fibers, and in girls, the left superior longitudinal fasciculus, which connects the frontal and temporal lobes, showed a slower rate of maturation than other fibers. Our results may help to clarify the mechanisms of normal brain maturation from the viewpoint of brain white matter. Hum Brain Mapp, 2013. © 2012 Wiley Periodicals, Inc.

[1]  Hiroshi Fukuda,et al.  Correlation between gray matter density‐adjusted brain perfusion and age using brain MR images of 202 healthy children , 2011, Human brain mapping.

[2]  Olaf B. Paulson,et al.  White Matter Microstructure in Superior Longitudinal Fasciculus Associated with Spatial Working Memory Performance in Children , 2011, Journal of Cognitive Neuroscience.

[3]  Hiroshi Fukuda,et al.  A longitudinal study of gray matter volume decline with age and modifying factors , 2011, Neurobiology of Aging.

[4]  Yasuyuki Taki,et al.  Breakfast Staple Types Affect Brain Gray Matter Volume and Cognitive Function in Healthy Children , 2010, PloS one.

[5]  Andrej-Nikolai Spiess,et al.  An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approach , 2010, BMC pharmacology.

[6]  J. Yeatman,et al.  Diffusion Tensor Imaging: A Review for Pediatric Researchers and Clinicians , 2010, Journal of developmental and behavioral pediatrics : JDBP.

[7]  Yasuyuki Taki,et al.  Training of Working Memory Impacts Structural Connectivity , 2010, The Journal of Neuroscience.

[8]  L. Westlye,et al.  Brain maturation in adolescence and young adulthood: regional age-related changes in cortical thickness and white matter volume and microstructure. , 2010, Cerebral cortex.

[9]  V. Schmithorst,et al.  White matter development during adolescence as shown by diffusion MRI , 2010, Brain and Cognition.

[10]  Joanne Rovet,et al.  The relations between white matter and declarative memory in older children and adolescents , 2009, Brain Research.

[11]  Anders M. Fjell,et al.  Heterogeneity in Subcortical Brain Development: A Structural Magnetic Resonance Imaging Study of Brain Maturation from 8 to 30 Years , 2009, The Journal of Neuroscience.

[12]  Angela D. Friederici,et al.  Pathways to language: fiber tracts in the human brain , 2009, Trends in Cognitive Sciences.

[13]  M. Catani,et al.  The arcuate fasciculus and the disconnection theme in language and aphasia: History and current state , 2008, Cortex.

[14]  Alexander Leemans,et al.  Microstructural maturation of the human brain from childhood to adulthood , 2008, NeuroImage.

[15]  Bryon A. Mueller,et al.  The development of corpus callosum microstructure and associations with bimanual task performance in healthy adolescents , 2008, NeuroImage.

[16]  Talma Hendler,et al.  Accelerated maturation of white matter in young children with autism: A high b value DWI study , 2007, NeuroImage.

[17]  Paul M. Thompson,et al.  Sexual dimorphism of brain developmental trajectories during childhood and adolescence , 2007, NeuroImage.

[18]  David Bonekamp,et al.  Diffusion tensor imaging in children and adolescents: Reproducibility, hemispheric, and age-related differences , 2007, NeuroImage.

[19]  K. Lim,et al.  Advances in white matter imaging: A review of in vivo magnetic resonance methodologies and their applicability to the study of development and aging , 2006, Neuroscience & Biobehavioral Reviews.

[20]  Hao Huang,et al.  White and gray matter development in human fetal, newborn and pediatric brains , 2006, NeuroImage.

[21]  S. Mori,et al.  Principles of Diffusion Tensor Imaging and Its Applications to Basic Neuroscience Research , 2006, Neuron.

[22]  Alan C. Evans,et al.  The NIH MRI study of normal brain development , 2006, NeuroImage.

[23]  V. Menon,et al.  White matter development during childhood and adolescence: a cross-sectional diffusion tensor imaging study. , 2005, Cerebral cortex.

[24]  Talma Hendler,et al.  Normal white matter development from infancy to adulthood: Comparing diffusion tensor and high b value diffusion weighted MR images , 2005, Journal of magnetic resonance imaging : JMRI.

[25]  T. Paus Mapping brain maturation and cognitive development during adolescence , 2005, Trends in Cognitive Sciences.

[26]  Thomas F. Nugent,et al.  Dynamic mapping of human cortical development during childhood through early adulthood. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[27]  K. A. Il’yasov,et al.  Fast quantitative diffusion-tensor imaging of cerebral white matter from the neonatal period to adolescence , 2004, Neuroradiology.

[28]  Denis Le Bihan,et al.  Looking into the functional architecture of the brain with diffusion MRI , 2003, Nature Reviews Neuroscience.

[29]  Suzanne E. Welcome,et al.  Mapping cortical change across the human life span , 2003, Nature Neuroscience.

[30]  C. Beaulieu,et al.  The basis of anisotropic water diffusion in the nervous system – a technical review , 2002, NMR in biomedicine.

[31]  A. Snyder,et al.  Diffusion-tensor MR imaging of gray and white matter development during normal human brain maturation. , 2002, AJNR. American journal of neuroradiology.

[32]  T. Jernigan,et al.  Development of cortical and subcortical brain structures in childhood and adolescence: a structural MRI study , 2002, Developmental medicine and child neurology.

[33]  J. Shimony,et al.  Normal brain maturation during childhood: developmental trends characterized with diffusion-tensor MR imaging. , 2001, Radiology.

[34]  E. Courchesne,et al.  Unusual brain growth patterns in early life in patients with autistic disorder: An MRI study , 2001, Neurology.

[35]  Mark H. Johnson Functional brain development in humans , 2001, Nature Reviews Neuroscience.

[36]  G. Bartzokis,et al.  Age-related changes in frontal and temporal lobe volumes in men: a magnetic resonance imaging study. , 2001, Archives of general psychiatry.

[37]  Alan C. Evans,et al.  Maturation of white matter in the human brain: a review of magnetic resonance studies , 2001, Brain Research Bulletin.

[38]  Karl J. Friston,et al.  Voxel-Based Morphometry—The Methods , 2000, NeuroImage.

[39]  Alan C. Evans,et al.  Brain development during childhood and adolescence: a longitudinal MRI study , 1999, Nature Neuroscience.

[40]  J. Gabrieli,et al.  Myelination and organization of the frontal white matter in children: a diffusion tensor MRI study. , 1999, Neuroreport.

[41]  E Gould,et al.  Hippocampal neurogenesis in adult Old World primates. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[42]  Alan C. Evans,et al.  Structural maturation of neural pathways in children and adolescents: in vivo study. , 1999, Science.

[43]  F. Gage,et al.  Neurogenesis in the adult human hippocampus , 1998, Nature Medicine.

[44]  P. Huttenlocher,et al.  Regional differences in synaptogenesis in human cerebral cortex , 1997, The Journal of comparative neurology.

[45]  P. Basser,et al.  Toward a quantitative assessment of diffusion anisotropy , 1996, Magnetic resonance in medicine.

[46]  Robert W. Thatcher,et al.  Cyclic cortical reorganization during early childhood , 1992, Brain and Cognition.

[47]  L. Squire,et al.  The medial temporal lobe memory system , 1991, Science.

[48]  J. Talairach,et al.  Co-Planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional System: An Approach to Cerebral Imaging , 1988 .

[49]  H. Loos,et al.  Synaptogenesis in human visual cortex — evidence for synapse elimination during normal development , 1982, Neuroscience Letters.

[50]  P. Huttenlocher Synaptic density in human frontal cortex - developmental changes and effects of aging. , 1979, Brain research.

[51]  H. Akaike A new look at the statistical model identification , 1974 .

[52]  R. C. Oldfield The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.

[53]  K. Thomas,et al.  MR quantitation of volume and diffusion changes in the developing brain. , 2005, AJNR. American journal of neuroradiology.

[54]  Marko Wilke,et al.  Correlation of white matter diffusivity and anisotropy with age during childhood and adolescence: a cross-sectional diffusion-tensor MR imaging study. , 2002, Radiology.

[55]  J. J. Ryan,et al.  Wechsler Adult Intelligence Scale-III , 2001 .

[56]  Karl J. Friston,et al.  Statistical parametric maps in functional imaging: A general linear approach , 1994 .

[57]  L. Yao,et al.  Previously Published Works Uc Irvine Title: Brain Development in Chinese Children and Adolescents: a Structural Mri Study Brain Development in Chinese Children and Adolescents: a Structural Mri Study , 2022 .