static functional network connectivity (sFNC)

Emerging

1papers using it

2026first seen

Static functional network connectivity (sFNC) refers to features derived from neuroimaging data that capture the connectivity patterns between different brain regions, used to evaluate the structural and functional properties of the brain in multimodal generative frameworks.

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Papers using static functional network connectivity (sFNC) (1)

Latent graph encoding of multimodal neuroimaging features with generative AI architectures2026