Fig 2. Schematic of proposed framework for studying temporal and spectral characteristics of dynamic functional connectivity.

(a) Dynamic functional connectivity (dFC) is first estimated from a model-based state-space approach. (b) dFC estimates are transformed to the spectral domain using Welch’s power spectral density estimate. (c) Temporal and spectral features are extracted from the temporal and spectral domains. (d) Temporal and spectral features are concatenated and (e) used as the feature vector for subject-level prediction.