Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Воксельная морфометрия× | Структурное моделирование (Structural Equation Modeling)× | |
|---|---|---|
| Область≠ | Нейровизуализация | Статистика исследований |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2000 | 1921 |
| Автор метода≠ | John Ashburner | Sewall Wright |
| Тип≠ | Structural MRI gray matter analysis pipeline | Method |
| Основополагающий источник≠ | Ashburner, 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 ↗ |
| Другие названия≠ | VBM, grey matter morphometry | SEM, path analysis, latent variable modeling, causal modeling |
| Связанные≠ | 2 | 3 |
| Сводка≠ | 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. |
| ScholarGateНабор данных ↗ |
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