2015
DOI: 10.1523/jneurosci.3979-14.2015
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Functional Consequences of Neurite Orientation Dispersion and Density in Humans across the Adult Lifespan

Abstract: As humans age, a characteristic pattern of widespread neocortical dendritic disruption coupled with compensatory effects in hippocampus and other subcortical structures is shown in postmortem investigations. It is now possible to address age-related effects on gray matter (GM) neuritic organization and density in humans using multishell diffusion-weighted MRI and the neurite-orientation dispersion and density imaging (NODDI) model. In 45 healthy individuals across the adult lifespan (21-84 years), we used a mu… Show more

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Cited by 134 publications
(158 citation statements)
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“…Our study tests the hypothesis that the variability of neurite orientations is a biomarker of multiple sclerosis pathology, and is motivated by recent findings demonstrating that neurite morphology is a substrate of neural function23, 24 and is affected by multiple sclerosis 25…”
Section: Discussionmentioning
confidence: 94%
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“…Our study tests the hypothesis that the variability of neurite orientations is a biomarker of multiple sclerosis pathology, and is motivated by recent findings demonstrating that neurite morphology is a substrate of neural function23, 24 and is affected by multiple sclerosis 25…”
Section: Discussionmentioning
confidence: 94%
“…Neurites allow the exchange of information among neurons, and there is evidence to believe that changes of their architecture can impact directly on neural function 23. Alteration of dendrite morphology could account per se for impairment beyond mere neuronal death 24.…”
Section: Introductionmentioning
confidence: 99%
“…NODDI-gray matter-based spatial statistics (NODDI-GBSS) to perform voxel-wise statistical analysis on GM microstructure has been described elsewhere in more details (19,26). Briefly, GM fraction maps were estimated in the native diffusion space by subtracting CSF fraction (f CSF maps from NODDI) and WM fraction (estimated by twotissue class segmentation of FA images using Atropos (35)) from 1 in each voxel (19).…”
Section: Gray Matter-based Spatial Statisticsmentioning
confidence: 99%
“…This technique characterizes: the spatial configuration of the neurites with the orientation dispersion index (ODI); and tissue microstructural composition with the neuritic density index (NDI), the volume fraction of neurites in brain tissue (15). We have recently shown in healthy individuals that these measures are: sensitive to GM changes secondary to aging; associated with cognitive performance; and a better predictor of chronological age than cortical thickness or WM microstructure (19).…”
Section: Introductionmentioning
confidence: 99%
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