Fig. 4: The distributed neural representations of affective arousal exhibits neurobiological plausibility. | Nature Communications

Fig. 4: The distributed neural representations of affective arousal exhibits neurobiological plausibility.

From: A neurofunctional signature of affective arousal generalizes across valence domains and distinguishes subjective experience from autonomic reactivity

Fig. 4

a Displays overlapping areas between thresholded BAAS and the conjunction of the meta-analytic maps of ‘negative’ and ‘positive’ affect from Neurosynth. b Shows that the performance of the model was evaluated by using an increasing number of voxels/features (on the x-axis) to predict subjective affective arousal in different regions of interest, such as the whole brain (in black), cerebellar brain (in pink), subcortical regions (in dark blue) or large-scale resting-state networks. The y-axis depicts the cross-validated correlation between predicted and actual outcomes. The colored dots demonstrate the average correlation coefficients, while the solid lines indicate the average parametric fit, and the shaded regions reflect the standard deviation. The model’s performance is optimized by randomly sampling approximate 10,000 voxels across the entire brain. c Shows the relative proportions of the voxels of thresholded BAAS within each large-scale functional network given the total number of voxels within each network. Red represents voxels with positive weight in the BAAS, while blue represents voxels with negative weight. BAAS Brain affective arousal signature, VN Visual network, SMN Somatomotor network, DAN Dorsal attention network, VAN Ventral attention network, LIN Limbic network, FPN Frontoparietal network, DMN Default mode network, SCT Subcortical network, CB Cerebellar brain. Source data are provided as a Source Data file.

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