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• W2897639280 abstract "Our ability to quantify grey matter microstructural change in Alzheimer's disease during life is limited. Neurite orientation dispersion and density imaging (NODDI) is a multi-shell diffusion MRI technique that estimates neuritic microstructure in the form of orientation dispersion and neurite density indices (ODI/NDI). We investigated cortical microstructural change in a cohort of patients with young onset Alzheimer's disease (YOAD - symptom onset <65 years) using NODDI. Sixty participants with 3T structural and multi-shell diffusion weighted MRI were included in the analysis: 38 YOAD patients [27 had typical amnestic presentations (tAD); 11 had posterior cortical atrophy (PCA) presentations] and 22 age-matched controls. Surface-based reconstruction of T1-weighted images was performed using Freesurfer version 6. ODI and NDI maps were estimated using the NODDI toolbox and registered to the T1-weighted images using NiftyReg. NODDI metric values were sampled from the midpoint of the cortical ribbon to create NODDI metric surface maps. Individual cortical thickness, NDI and ODI surface maps were then registered to a common template and spatially smoothed (10 mm FWHM). Group comparisons across the cortical mantle were performed for each metric using a cluster-based general linear model analysis (co-variates=age and gender). A family-wise-error significance level of p<0.05 following correction for multiple comparisons was considered statistically significant. To account for potential partial volume effects, NODDI-based analyses were also performed following correction for cortical thickness on a per-vertex basis. In YOAD patients there was evidence of widespread decreases in NDI across the cortical mantle, even after accounting for expected cortical thinning (see figure 1). YOAD-related changes in ODI were less marked compared to changes in NDI. However, there was evidence of decreased ODI in PCA compared to tAD patients in occipital regions, independent of cortical thinning (see figure 2). General linear model vertex-wise analysis of cortical thickness, neurite density index (NDI) and orientation density index (ODI) demonstrating clusters of statistically significant decreases in each metric whilst comparing young-onset Alzheimer's disease (YOAD) and age-matched healthy controls (HC). This included correction for multiple comparisons using a cluster-forming threshold of p<0.01 and Monte Carlo null-z simulation of 10,000 iterations (family-wise error correction p<0.05). To account for potential partial volume effects, NODDI-based analyses were also performed following correction for cortical thickness on a per-vertex basis. General linear model vertex-wise analysis of cortical thickness, neurite density index (NDI) and orientation density index (ODI) demonstrating clusters of statistically significant decreases in each metric whilst comparing typical amnestic-led Alzheimer's disease(tAD) and posterior cortical atrophy (PCA). This included correction for multiple comparisons using a cluster-forming threshold of p<0.01 and Monte Carlo null-z simulation of 10,000 iterations (family-wise error correction p<0.05). To account for potential partial volume effects, NODDI-based analyses were also performed following correction for cortical thickness on a per-vertex basis. These data provide evidence that NODDI can detect relevant, otherwise undetected, pathological changes that are over and above atrophy in YOAD. The widespread changes in cortical NODDI metrics (especially NDI) highlight its potential as a sensitive biomarker of neurodegeneration. Furthermore, changes in neuritic complexity (as evidenced by atrophy-independent decreases in occipital ODI in PCA compared to tAD) may help explain phenotypic heterogeneity in YOAD." @default.
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• W2897639280 date "2018-07-01" @default.
• W2897639280 modified "2023-10-16" @default.
• W2897639280 title "P1‐474: SURFACE‐BASED ANALYSIS OF CORTICAL GREY MATTER MICROSTRUCTURE IN YOUNG‐ONSET ALZHEIMER'S DISEASE USING NEURITE ORIENTATION DISPERSION AND DENSITY IMAGING (NODDI)" @default.
• W2897639280 doi "https://doi.org/10.1016/j.jalz.2018.06.484" @default.
• W2897639280 hasPublicationYear "2018" @default.
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