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      Regional Values of Diffusional Kurtosis Estimates in the Healthy Brain

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          Abstract

          Purpose

          To provide estimates of the diffusional kurtosis in the healthy brain in anatomically defined areas and list these along previously reported values in pathologies.

          Materials and Methods

          Thirty-six volunteers (mean age = 33.1 years; range, 19–64 years) underwent diffusional kurtosis imaging. Mean kurtosis (MK), radial kurtosis (RK), mean diffusivity (MD), radial diffusivity (RD), and fractional anisotropy (FA) were determined in 26 anatomical structures. Parameter estimates were assessed regarding age dependence.

          Results

          MK varied from 1.38 in the splenium of the corpus callosum to 0.66 in the caudate head, MD varied from 0.68 to 0.62 μm 2/ms and FA from 0.87 to 0.29. MK, and FA showed a strong positive correlation, RK and RD a strong negative correlation. Parameter estimates showed age correlation in some regions; also the average MK and RK for all WM and all GM areas, respectively, were negatively correlated with age.

          Conclusion

          DKI parameter estimates MK and RK varied depending on the anatomical region and varied with age in pooled WM and GM data. MK estimates in the internal capsule, corpus callosum, and thalamus were consistent with previous studies. The range of values of MK and RK in healthy brain overlapped with that in pathologies. J. Magn. Reson. Imaging 2013;37:610–618. © 2012 Wiley Periodicals, Inc.

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          Most cited references19

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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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            Estimation of tensors and tensor-derived measures in diffusional kurtosis imaging.

            This article presents two related advancements to the diffusional kurtosis imaging estimation framework to increase its robustness to noise, motion, and imaging artifacts. The first advancement substantially improves the estimation of diffusion and kurtosis tensors parameterizing the diffusional kurtosis imaging model. Rather than utilizing conventional unconstrained least squares methods, the tensor estimation problem is formulated as linearly constrained linear least squares, where the constraints ensure physically and/or biologically plausible tensor estimates. The exact solution to the constrained problem is found via convex quadratic programming methods or, alternatively, an approximate solution is determined through a fast heuristic algorithm. The computationally more demanding quadratic programming-based method is more flexible, allowing for an arbitrary number of diffusion weightings and different gradient sets for each diffusion weighting. The heuristic algorithm is suitable for real-time settings such as on clinical scanners, where run time is crucial. The advantage offered by the proposed constrained algorithms is demonstrated using in vivo human brain images. The proposed constrained methods allow for shorter scan times and/or higher spatial resolution for a given fidelity of the diffusional kurtosis imaging parametric maps. The second advancement increases the efficiency and accuracy of the estimation of mean and radial kurtoses by applying exact closed-form formulae. Copyright © 2010 Wiley-Liss, Inc.
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              Mapping changes in the human cortex throughout the span of life.

              In this review, the authors summarize the literature on brain morphological changes that occur throughout the human life span from childhood into old age. They examine changes observed postmortem and in vivo where various brain MRI analytic methods have been applied. They evaluate brain changes observed with volumetric image analytic methods and voxel-based morphometric methods that may be used to better localize where changes occur. The primary focus of the review is on recent studies using state-of-the-art cortical pattern-matching techniques to assess age-related changes in cortical asymmetries, gray matter distribution, and brain growth across various age spans. The authors attempt to integrate findings from the in vivo studies with results from postmortem studies and analyze the complicated question of when brain maturation stops and brain aging begins. Analyzing the regional patterns of change initiated at various ages may help elucidate relationships between changing brain morphology and changing cognitive functions that occur throughout life. Long-range longitudinal studies, correlations between imaging and postmortem data, and more advanced image acquisition and analysis technologies will be needed to fully interpret brain morphological changes observed in vivo in relation to development and aging.
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                Author and article information

                Journal
                J Magn Reson Imaging
                J Magn Reson Imaging
                jmri
                Journal of Magnetic Resonance Imaging
                Wiley Subscription Services, Inc., A Wiley Company (Hoboken )
                1053-1807
                1522-2586
                March 2013
                10 October 2012
                : 37
                : 3
                : 610-618
                Affiliations
                [1 ]Center for Medical Imaging and Physiology, Skåne University Hospital Lund, Sweden
                [2 ]Lund University Bioimaging Center, Lund University Sweden
                [3 ]Department of Medical Radiation Physics, Lund University Lund, Sweden
                [4 ]Department of Diagnostic Radiology, Lund University Lund, Sweden
                [5 ]Department of Psychology, Lund University Lund, Sweden
                Author notes
                *Address reprint requests to: D.v.W., Department of Radiology, Lund University Hospital, SE – 221 85 Lund, Sweden. E-mail: danielle.van_westen@ 123456med.lu.se

                Contract grant sponsor: the Swedish Research Council; Contract grant numbers: 60229601, 13514, 2010-36861-78981-35; Contract grant sponsor: the Donation Funds of the Skåne University Hospital, Lund, Sweden.

                Article
                10.1002/jmri.23857
                3596978
                23055442
                b1d5fd0b-534c-4ace-9331-fe7894905893
                Copyright © 2012 Wiley Periodicals, Inc.

                Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.

                History
                : 22 February 2012
                : 04 September 2012
                Categories
                Original Research—Neuroimaging

                Radiology & Imaging
                brain,diffusion,kurtosis
                Radiology & Imaging
                brain, diffusion, kurtosis

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