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      Anatomical and diffusion MRI of deep gray matter in pediatric spina bifida

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          Abstract

          Individuals with spina bifida myelomeningocele (SBM) exhibit brain abnormalities in cortical thickness, white matter integrity, and cerebellar structure. Little is known about deep gray matter macro- and microstructure in this population. The current study utilized volumetric and diffusion-weighted MRI techniques to examine gray matter volume and microstructure in several subcortical structures: basal ganglia nuclei, thalamus, hippocampus, and amygdala. Sixty-six children and adolescents (ages 8–18; M = 12.0, SD = 2.73) with SBM and typically developing (TD) controls underwent T 1- and diffusion-weighted neuroimaging. Microstructural results indicated that hippocampal volume was disproportionately reduced, whereas the putamen volume was enlarged in the group with SBM. Microstructural analyses indicated increased mean diffusivity (MD) and fractional anisotropy (FA) in the gray matter of most examined structures (i.e., thalamus, caudate, hippocampus), with the putamen exhibiting a unique pattern of decreased MD and increased FA. These results provide further support that SBM differentially disrupts brain regions whereby some structures are volumetrically normal whereas others are reduced or enlarged. In the hippocampus, volumetric reduction coupled with increased MD may imply reduced cellular density and aberrant organization. Alternatively, the enlarged volume and significantly reduced MD in the putamen suggest increased density.

          Highlights

          • Spina bifida resulted in reduced hippocampal and enlarged putamen volumes.

          • Spina bifida resulted in reduced MD and increased FA in the putamen.

          • Periventricular regions were differentiated by increased MD and FA in spina bifida.

          • Spina bifida resulted in greater FA for all regions, except the hippocampus.

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          Most cited references61

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          Automatically Parcellating the Human Cerebral Cortex

          B Fischl (2004)
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            Microstructural maturation of the human brain from childhood to adulthood.

            Brain maturation is a complex process that continues well beyond infancy, and adolescence is thought to be a key period of brain rewiring. To assess structural brain maturation from childhood to adulthood, we charted brain development in subjects aged 5 to 30 years using diffusion tensor magnetic resonance imaging, a novel brain imaging technique that is sensitive to axonal packing and myelination and is particularly adept at virtually extracting white matter connections. Age-related changes were seen in major white matter tracts, deep gray matter, and subcortical white matter, in our large (n=202), age-distributed sample. These diffusion changes followed an exponential pattern of maturation with considerable regional variation. Differences observed in developmental timing suggest a pattern of maturation in which areas with fronto-temporal connections develop more slowly than other regions. These in vivo results expand upon previous postmortem and imaging studies and provide quantitative measures indicative of the progression and magnitude of regional human brain maturation.
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              Sexual dimorphism of brain developmental trajectories during childhood and adolescence.

              Human total brain size is consistently reported to be approximately 8-10% larger in males, although consensus on regionally specific differences is weak. Here, in the largest longitudinal pediatric neuroimaging study reported to date (829 scans from 387 subjects, ages 3 to 27 years), we demonstrate the importance of examining size-by-age trajectories of brain development rather than group averages across broad age ranges when assessing sexual dimorphism. Using magnetic resonance imaging (MRI) we found robust male/female differences in the shapes of trajectories with total cerebral volume peaking at age 10.5 in females and 14.5 in males. White matter increases throughout this 24-year period with males having a steeper rate of increase during adolescence. Both cortical and subcortical gray matter trajectories follow an inverted U shaped path with peak sizes 1 to 2 years earlier in females. These sexually dimorphic trajectories confirm the importance of longitudinal data in studies of brain development and underline the need to consider sex matching in studies of brain development.
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                Author and article information

                Contributors
                Journal
                Neuroimage Clin
                Neuroimage Clin
                NeuroImage : Clinical
                Elsevier
                2213-1582
                2 June 2014
                2 June 2014
                2014
                : 5
                : 120-127
                Affiliations
                [a ]Department of Psychology, Texas Institute for Measurements, Evaluation and Statistics, University of Houston, 8201 Cullen St., Houston, TX 77204-6602, USA
                [a ]Department of Pediatrics, Children's Learning Institute BRAIN Lab, University of Texas Health Science Center at Houston, 6655 Travis Street Suite 1000, Houston, TX 77030, USA
                [a ]Program in Neurosciences and Mental Health, The Hospital for Sick Children, 555 University Avenue, Toronto, Ontario, Canada
                Author notes
                [* ]Corresponding author. aware2004@ 123456gmail.com
                Article
                S2213-1582(14)00068-0
                10.1016/j.nicl.2014.05.012
                4097001
                25057465
                cef834de-83bd-4d4c-9274-7998dd6e6c82
                © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

                History
                : 19 February 2014
                : 15 May 2014
                : 20 May 2014
                Categories
                Article

                myelomeningocele,hydrocephalus,subcortical gray matter,dti

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