Fig. 2

Mean activations of brain states. Mean activation maps of the nine brain states estimated using the hidden Markov model (HMM). Each state’s mean activation is color-coded, ranging from low (blue) to high (red). In the plot (bottom right), the y-axis represents the average correlations between each HMM model and 14 other models, calculated using the Munkres (Hungarian) algorithm. The x-axis represents the model number, as 15 models were generated iteratively. The model with the highest correlation (red circle) aligns with the labeled states across other models, leading to the selection of model #6 for this study. Abbreviations: dDMN, dorsal default mode network; PRE, precuneus; vDMN, ventral default mode network; ASN, anterior saliency network; PSN, posterior saliency network; LECN, left executive control network; RECN, right executive control network; BGN, basal ganglia network; AUD, auditory network; pVIS, primary visual network; hVIS, high visual network; SMN, sensorimotor network; VSN, visuospatial network; LAN, language network.