Fig. 2: Brain states identified using an HMM show functional networks of spectral power and coherence in the DPC. | Communications Biology

Fig. 2: Brain states identified using an HMM show functional networks of spectral power and coherence in the DPC.

From: A Hidden Markov Model reveals magnetoencephalography spectral frequency-specific abnormalities of brain state power and phase-coupling in neuropathic pain

Fig. 2

a Brain regions with significant power and phase-coupling are represented across a wideband frequency range (1–30 Hz) for the 12 estimated states in n = 40 healthy controls. Node spectral power is relative to the temporal average, and node size is in relation to the mean power (Z score) across states (blue and red colors reflect power that is lower or higher than the average over states, respectively). Edges between nodes show functional connectivity, and only significant and high-valued connections are shown. Significant coherences were mainly found between active nodes in each state. The same 12 states were found in the patients cohort, and the nodes’ repartition was similar across a wideband frequency range. b Spectral power averaged across all brain regions in brain states as a function of frequency (green: delta/theta, blue: alpha, and red: beta). c Spectral profiles of the DMN (post. DMN: blue; ant. DMN: purple), SMN (green), and visual (yellow) states, in terms of power averaged across brain regions, in comparison to the grand average (black line); Standard deviations are represented. *P < 0.001; permutation P value, 5000 bootstrap samples. DMN Default mode network, ANP ascending nociceptive pathway, OP-insular (operculo-insular), SMN sensorimotor, DPC dynamic pain connectome.

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