Individual skill
brain-connectivity-analysis
Structural and functional brain connectivity — tractography, functional networks, and graph-theoretic analysis.
skills/brain-connectivity-analysis/SKILL.md
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## Overview
brain-connectivity-analysis covers how brain regions connect and communicate: structural
connectivity from diffusion MRI tractography, functional connectivity from correlated activity
(fMRI, EEG/MEG), effective connectivity (causal modeling), and the graph-theory toolkit used to
describe networks. The emphasis is on what each method can and cannot claim — connectivity
neuroscience is full of measures that sound causal but aren't.
## When to use
- Diffusion MRI: tensor/fODF modeling, tractography, along-tract statistics.
- Functional connectivity: seed-based correlation, ICA networks, parcellation-based connectomes.
- Graph theory: degree, clustering, efficiency, modularity, hubs, rich clubs.
- Effective connectivity: DCM, Granger causality, transfer entropy — when direction matters.