Bandingkan kaedah

	Tulin-Asas Morfometri (VBM)	Pemodelan Persamaan Struktur	Statistik Spatial Berasaskan Trajektori
Bidang	Pengimejan Neuro	Statistik Penyelidikan	Pengimejan Neuro
Keluarga	Process / pipeline	Process / pipeline	Process / pipeline
Tahun asal	2000	1921	2006
Pengasas	John Ashburner	Sewall Wright	Stephen M. Smith
Jenis	Structural MRI gray matter analysis pipeline	Method	Diffusion MRI white matter analysis pipeline
Sumber perintis	Ashburner, J., & Friston, K. J. (2000). Voxel-based morphometry—the methods. NeuroImage, 11(6), 805–821.	Jöreskog, K. G., & Sörbom, D. (1973). LISREL: A general computer program for estimating a linear structural equation system. Research Bulletin 73-5. University of Stockholm.	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.
Alias	VBM, grey matter morphometry	SEM, path analysis, latent variable modeling, causal modeling	TBSS, white matter skeleton analysis
Berkaitan	2	3	3
Ringkasan	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.	Structural equation modeling (SEM) is a comprehensive statistical framework combining path analysis (Sewall Wright, 1921) and confirmatory factor analysis to test complex causal models linking observed and latent variables. Formalized by Jöreskog (1973) with LISREL software, SEM enables simultaneous estimation of measurement relationships (how variables measure latent constructs) and structural relationships (how constructs influence outcomes), making it powerful for theory testing in psychology, epidemiology, organizational research, and health sciences where complex mediation, moderation, and latent processes require integrated analysis.	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.