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Can I read Peak Width of Skeletonized Water Diffusion MRI in the Neonatal Brain on EtoBox?

Peak Width of Skeletonized Water Diffusion MRI in the Neonatal Brain by Blesa, Manuel; Galdi, Paola; Sullivan, Gemma; Wheater, Emily N.; Stoye, David Q.; Lamb, Gillian J.; Quigley, Alan J.; Thrippleton, Michael J.; Bastin, Mark E.; Boardman, James P. is a Medicine article available to read on EtoBox.

What is Peak Width of Skeletonized Water Diffusion MRI in the Neonatal Brain about?

Preterm birth is closely associated with cognitive impairment and generalized dysconnectivity of neural networks inferred from water diffusion MRI (dMRI) metrics. Peak width of skeletonized mean diffusivity (PSMD) is a metric derived from histogram analysis of mean diffusivity across the white matter skeleton, and it is a useful biomarker of generalized dysconnectivity and cognition in adulthood. We calculated PSMD and five other histogram based metrics derived from diffusion tensor imaging (DTI) and neurite orientation and dispersion imaging (NODDI) in the newborn, and evaluated their accuracy as biomarkers of microstructural brain white matter alterations associated with preterm birth. One hundred and thirty five neonates (76 preterm, 59 term) underwent 3T MRI at term equivalent age. There were group differences in peak width of skeletonized mean, axial, and radial diffusivities (PSMD, PSAD, PSRD), orientation dispersion index (PSODI) and neurite dispersion index (PSNDI), all __p__ < 10^−4^. PSFA did not differ between groups. PSNDI was the best classifier of gestational age at birth with an accuracy of 81±10%, followed by PSMD, which had 77±9% accuracy. Models built on both NODD

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It is typically read by researchers, students, and practitioners in Medicine.

Author
Blesa, Manuel; Galdi, Paola; Sullivan, Gemma; Wheater, Emily N.; Stoye, David Q.; Lamb, Gillian J.; Quigley, Alan J.; Thrippleton, Michael J.; Bastin, Mark E.; Boardman, James P.
Publisher
Frontiers; Frontiers Media SA; Frontiers Media S.A.; Lausanne: Frontiers Media S.A., 2010- (ISSN 1664-2295)
Published
2020
Language
EN
Field
Medicine (Health Sciences)

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