Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Statistiskā analīze uz trakteem (Tract-Based Spatial Statistics)× | Vokseļu morfometriskā analīze× | |
|---|---|---|
| Nozare | Neiroattēlveidošana | Neiroattēlveidošana |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 2006 | 2000 |
| Autors≠ | Stephen M. Smith | John Ashburner |
| Tips≠ | Diffusion MRI white matter analysis pipeline | Structural MRI gray matter analysis pipeline |
| Pirmavots≠ | 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 ↗ | Ashburner, J., & Friston, K. J. (2000). Voxel-based morphometry—the methods. NeuroImage, 11(6), 805–821. DOI ↗ |
| Citi nosaukumi | TBSS, white matter skeleton analysis | VBM, grey matter morphometry |
| Saistītās≠ | 3 | 2 |
| Kopsavilkums≠ | 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. | Voxel-Based Morphometry (VBM) is a whole-brain statistical technique for detecting local differences in gray matter volume or concentration from structural MRI. Introduced by John Ashburner and Karl Friston in 2000, VBM enables researchers to identify regional brain volume changes associated with disease, aging, learning, and other factors without requiring a priori region-of-interest definitions. |
| ScholarGateDatu kopa ↗ |
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