ArticleiScience2023
Dynamic segregation and integration of brain functional networks associated with emotional arousal.
Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Dynamic Hemispheric Lateralization of Naturalistic Emotional Processing After Unilateral Stroke: An EEG Study.CNS neuroscience & therapeutics · 2026Article
- Cortical synchrony is reduced in Alzheimer's disease and relates to arousal state.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- The Effect of Dopaminergic Therapy in Parkinson's Disease: A Graph Theory Analysis.Brain sciences · 2025Article
- Time-varying brain state dynamics in trait impulsivity and anxiety: An HSMM analysis of resting-state fMRI.Social cognitive and affective neuroscience · 2025Article
- High gamma EEG responses to emotional stimuli in virtual reality: insights from local activation and distributed characteristics.Frontiers in human neuroscience · 2025Article
- Dynamic brain functional states associated with inhibition control under different altitudes.Cognitive neurodynamics · 2024Article
- Dynamics of interaction betweenCognitive neurodynamics · 2024Article
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Authors and funding
5 authors.
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Abstract
The organization of brain functional networks dynamically changes with emotional stimuli, but its relationship to emotional behaviors is still unclear. In the DEAP dataset, we used the nested-spectral partition approach to identify the hierarchical segregation and integration of functional networks and investigated the dynamic transitions between connectivity states under different arousal conditions. The frontal and right posterior parietal regions were dominant for network integration whereas the bilateral temporal, left posterior parietal, and occipital regions were responsible for segregation and functional flexibility. High emotional arousal behavior was associated with stronger network integration and more stable state transitions. Crucially, the connectivity states of frontal, central, and right parietal regions were closely related to arousal ratings in individuals. Besides, we predicted the individual emotional performance based on functional connectivity activities. Our results demonstrate that brain connectivity states are closely associated with emotional behaviors and could be reliable and robust indicators for emotional arousal.
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