Pediatric diffusion tensor imaging: Normal database and observation of the white matter maturation in early childhood

By L. Hermoye, C. Saint-Martin, G. Cosnard, Seung-Koo Lee, Jinna Kim, M. Nassogne, R. Menten, P. Clapuyt, P. Donohue, Kegang Hua and 4 more. NeuroImage, 2006

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Recent advances in diffusion tensor imaging (DTI) have made it possible to reveal white matter anatomy and to detect neurological abnormalities in children. However, the clinical use of this technique is hampered by the lack of a normal standard of reference. The goal of this study was to initiate the establishment of a database of DTI images in children, which can be used as a normal standard of reference for diagnosis of pediatric neurological abnormalities. Seven pediatric volunteers and 23 pediatric patients (age range: 0-54 months) referred for clinical MR examinations, but whose brains were shown to be normal, underwent anatomical and DTI acquisitions on a 1.5 T MR scanner. The white matter maturation, as observed on DTI color maps, was described and illustrated. Changes in diffusion fractional anisotropy (FA), average apparent diffusion constant (ADC(ave)), and T2-weighted (T2W) signal intensity were quantified in 12 locations to characterize the anatomical variability of the maturation process. Almost all prominent white matter tracts could be identified from birth, although their anisotropy was often low. The evolution of FA, shape, and size of the white matter tracts comprised generally three phases: rapid changes during the first 12 months; slow modifications during the second year; and relative stability after 24 months. The time courses of FA, ADC(ave), and T2W signal intensity confirmed our visual observations that maturation of the white matter and the normality of its architecture can be assessed with DTI in young children. The database is available online and is expected to foster the use of this promising technique in the diagnosis of pediatric pathologies.

Subfields: Pediatrics, Perinatology and Child Health, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/b3c90485a6ad2c277b9ea1b5edafccdaae9a7d4b

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Citations in the corpus

Normal Development of Brain Circuits (2010, result): “…brain that is generally consistent with the findings from other experimental modalities (Berman et al, 2005; Gao et al, 2009; Gilmore et al, 2007a; Hermoye et al, 2006; McGraw et al, 2002; Mukherjee et al, Normal development of brain circuits GZ Tau and BS…”
Accelerated maturation of white matter in young children with autism: A high b value DWI study (2007, methodology): “060 matter in healthy children up to 6–8 years of age or less (Hermoye et al., 2006; McGraw et al., 2002; Mukherjee et al., 2002), and high b value method demonstrated changes throughout adulthood (Ben Bashat et al.”
Artifacts and pitfalls in diffusion MRI (2006, methodology): “DT MRI (DTI) has also appeared as a promising tool for monitoring brain maturation and development (10,11), and especially the myelination process, as well Anatomical and Functional Neuroimaging Laboratory, Service Hospitalier Frédéric Joliot, Commissariat à l’Energie Atomique, Orsay, France.”
The early development of brain white matter: a review of imaging studies in fetuses, newborns and infants. (2014, background): “After term birth, almost all prominent WM tracts are identified despite low anisotropy values (Hermoye et al., 2006).”
Assessment of the early organization and maturation of infants' cerebral white matter fiber bundles: A feasibility study using quantitative diffusion tensor imaging and tractography (2006, background): “... matter maturation and myelination processes in preterm or at term newborns (Neil et al., 1998; Huppi et al., 1998a, 2001; Miller et al., 2002; Zhai et al., 2003; Partridge et al., 2004; Gilmore et al., 2004), and in children over a large range of ages, from birth through childhood or adolescence”
Developmental Stages and Sex Differences of White Matter and Behavioral Development through Adolescence: A Longitudinal Diffusion Tensor Imaging (DTI) Study (2013, positive): “Cross-sectional studies have suggested that several white matter pathways have nonlinear growth patterns (Hermoye et al., 2006; Lebel et al., 2008, 2012; Mukherjee et al., 2001), which may be mirrored by nonlinear growth in various motor and cognitive abilities (Kail, 1993; Luna et al.”
Microstructural maturation of the human brain from childhood to adulthood (2008, positive): “During infancy and early childhood, the brain undergoes rapid microstructural changes; between birth and 5 years of age, FAvalues increase by up to 200% and MD values decrease by approximately 40%, with the bulk of these changes occurring during the first 24 months of life (Mukherjee et al., 2001; P”
Diffusion tensor imaging of the corpus callosum in Autism (2007, positive): “Recently, Hermoye et al. (2006) used the b = 0 signal in white matter (normalized by the signal in CSF) from the DTI study as an indirect measure of T2 to study myelination changes with typical brain development.”
The Development of Brain White Matter Microstructure (2018, background): “, 2010), considerably smaller than 30–130% changes that occur from 0 to 3 years (Hermoye et al., 2006; Paydar et al., 2014).”
Longitudinal Development of Human Brain Wiring Continues from Childhood into Adulthood (2011, background): “Since the biggest surge of brain development occurs before the age of 5 years (Hermoye et al., 2006; Dubois et al., 2008; Faria et al., 2010), these fairly small changes are not surprising.”
Diffusion tensor imaging of white matter tract evolution over the lifespan (2012, background): “These changes are small compared to FA increases and MD decreases of 40–100% that occur during infancy and early childhood, prior to age 5 years (Dubois et al., 2008; Faria et al., 2011; Hermoye et al., 2006), but are nonetheless substantial.”
Differences in White Matter Fiber Tract Development Present from 6 to 24 Months in Infants with Autism (2012, background): “Although changes in FA correspond to organizational properties indicative of development (19, 35) as well as histological findings (59), it is an imperfect index of white matter microstructure, and may reflect the effects of axonal packing, crossing fibers, or partial volumes related to noise in DTI”
White and gray matter development in human fetal, newborn and pediatric brains (2006, methodology): “Being sensitive to structural alignment, DTI is an excellent imaging method for delineating of the anatomy of premature brains (Huppi et al., 1998; Neil et al., 1998; Mori et al., 2001, 2005; McKinstry et al., 2002; Mukherjee et al., 2002; Maas et al., 2004; Partridge et al., 2004; Schneider et al.,”
Noise during Rest Enables the Exploration of the Brain's Dynamic Repertoire (2008, background): “studies, which revealed a significantly lower anisotropy index in the inferior longitudinal fasciculus, inferior fronto-occipital fasciculus, and superior longitudinal fasciculus compared with the detected degree of anisotropy in the interhemispheric callosal fibers [34].”
Diffusion MRI at 25: Exploring brain tissue structure and function (2012, background): “Although the bulk of developmental changes happen in the first few years of life (Hermoye et al., 2006; Huang et al., 2006), white matter continues to show slowmaturation, particularly in prefrontal pathways, through adolescence (Barnea-Goraly et al.”