Comparer des méthodes

	Statistiques Spatiales Basées sur les Tracts	NODDI
Domaine	Neuro-imagerie	Neuro-imagerie
Famille	Process / pipeline	Process / pipeline
Année d'origine	2006	2012
Auteur d'origine	Stephen M. Smith	Hui Zhang
Type	Diffusion MRI white matter analysis pipeline	Microstructural white matter mapping
Source fondatrice	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.	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.
Alias	TBSS, white matter skeleton analysis	NODDI, neurite density mapping
Apparentées	3	3
Résumé	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.	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.