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Voxel-Based Morphometry×Modelování strukturálních rovnic×
OborNeurozobrazováníStatistika ve výzkumu
RodinaProcess / pipelineProcess / pipeline
Rok vzniku20001921
TvůrceJohn AshburnerSewall Wright
TypStructural MRI gray matter analysis pipelineMethod
Původní zdrojAshburner, J., & Friston, K. J. (2000). Voxel-based morphometry—the methods. NeuroImage, 11(6), 805–821. DOI ↗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. link ↗
Další názvyVBM, grey matter morphometrySEM, path analysis, latent variable modeling, causal modeling
Příbuzné23
ShrnutíVoxel-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.
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ScholarGatePorovnat metody: Voxel-Based Morphometry · Structural Equation Modeling. Získáno 2026-06-15 z https://scholargate.app/cs/compare