So sánh phương pháp

	Phân tích Mạng Não Bộ Dựa trên Đồ thị	Mô hình phương trình cấu trúc
Lĩnh vực	Chẩn đoán hình ảnh thần kinh	Thống kê nghiên cứu
Họ	Process / pipeline	Process / pipeline
Năm ra đời	2009	1921
Người khởi xướng	Ed Bullmore	Sewall Wright
Loại	Brain network graph analysis pipeline	Method
Công trình gốc	Bullmore, E., & Sporns, O. (2009). Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience, 10(3), 186–198.	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.
Tên gọi khác	graph theory, brain network analysis, network neuroscience	SEM, path analysis, latent variable modeling, causal modeling
Liên quan	3	3
Tóm tắt	Graph Theoretical Brain Network Analysis applies network science to understand brain organization, treating the brain as a complex network of interconnected nodes (regions) and edges (connections). Formalized by Bullmore and Sporns in 2009, graph analysis reveals fundamental organizational principles—modularity, efficiency, resilience—that characterize healthy and diseased brains.	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.