DECODE: DEcomposition of COupled and DEcoupled Brain States: Separating Structure-Coupled and Structure-Decoupled Functional Organization in Alzheimers Disease

DECODE decomposes resting-state dynamic functional connectivity in Alzheimer’s disease into structure-coupled and structure-decoupled transient states, with decoupled states showing stronger group differences (FDR-corrected p-value 0.05).

• Why it matters: It addresses how transient functional brain states remain constrained by structural connectivity or become decoupled over time, which is unclear in Alzheimer’s disease.
• What they did: The framework uses ICA with diffusion MRI-derived structural network connectivity priors to represent dynamic functional connectivity in a lower-dimensional latent space of transient states.
• The result: It reconstructs dynamic information with mean squared error < 0.1 and adjusted R-squared = 0.4, and in AD, decoupled states exhibit stronger differences in connectivity organization and temporal dynamics.

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