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Publication Detail
Neurite morphology reveals rich regional microstructural variations in the human brain white matter
Abstract
We present the normative values of microstructure indices, obtained from Bingham-NODDI [1], in the white matter (WM) of the adult human brain. We use high quality diffusion MRI data, obtained from normal adult population. Bingham-NODDI is a multi-compartment diffusion MRI model, based on the NODDI framework [2], which provides indices of morphology of neurites in the brain. Bingham-NODDI provides a richer characterisation of the orientation dispersion of neurites compared to the original model, enabling estimation of anisotropic orientation dispersion of neurites, a feature of complex neurite configurations. Earlier studies have established the in-vivo and ex-vivo feasibility of Bingham-NODDI [1,3]. Here we apply the model to a larger cohort of data to establish the range of values of its indices in normal adult brain, which has clinical utility, e.g. it is useful to report anatomical location of areas with microstructure properties significantly different to those in normal population or changes during development in specific areas.
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Dept of Computer Science
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Dept of Computer Science
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