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| NODDI× | Statistica Spaziale Basata su Tratti (Tract-Based Spatial Statistics)× | |
|---|---|---|
| Campo | Neuroimmagini | Neuroimmagini |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 2012 | 2006 |
| Ideatore≠ | Hui Zhang | Stephen M. Smith |
| Tipo≠ | Microstructural white matter mapping | Diffusion MRI white matter analysis pipeline |
| Fonte seminale≠ | Zhang, H., Schneider, T., Wheeler-Kingshott, C. A., & Alexander, D. C. (2012). NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. NeuroImage, 61(4), 1000–1016. DOI ↗ | Smith, S. M., Jenkinson, M., Johansen-Berg, H., et al. (2006). Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. NeuroImage, 31(4), 1487–1505. DOI ↗ |
| Alias | NODDI, neurite density mapping | TBSS, white matter skeleton analysis |
| Correlati | 3 | 3 |
| Sintesi≠ | Neurite Orientation Dispersion and Density Imaging (NODDI) is a biophysical diffusion MRI model that quantifies microstructural properties of white matter: neurite density (axonal density), orientation dispersion (fiber coherence), and isotropic diffusion (free water or cerebrospinal fluid). Introduced by Zhang and colleagues in 2012, NODDI provides biologically interpretable metrics directly linking diffusion MRI signals to tissue microstructure. | Tract-Based Spatial Statistics (TBSS) is a voxel-wise analysis method for detecting group differences in white matter microstructure from diffusion MRI data. Published by Stephen M. Smith and colleagues in 2006, TBSS addresses registration and multiple comparison problems inherent in voxel-wise analysis by projecting individual FA maps onto a white matter skeleton derived from a population template. |
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