ArticleFrontiers in psychology2024
Valence-specific EEG microstate modulations during self-generated affective states.
Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Tutorial on using EEG microstates to study moment-to-moment large-scale functional brain network dynamics in neurodevelopment.Frontiers in neuroscience · 2026Article
- Exploring Brain Network Dynamics in Suicide Attempt Survivors Using EEG Microstate Analysis.Brain topography · 2025Article
- Signs of Problematic Internet use Affect Resting-State EEG Microstates.Brain topography · 2025Article
- Spatiotemporal dynamics of EEG microstate networks over the first two years of life: A multi-cohort longitudinal study.Imaging neuroscience (Cambridge, Mass.) · 2025Article
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Authors and funding
2 authors.
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Abstract
Introduction: This study aims to explore the temporal dynamics of brain networks involved in self-generated affective states, specifically focusing on modulating these states in both positive and negative valences. The overarching goal is to contribute to a deeper understanding of the neurodynamic patterns associated with affective regulation, potentially informing the development of biomarkers for therapeutic interventions in mood and anxiety disorders. Methods: Utilizing EEG microstate analysis during self-generated affective states, we investigated the temporal dynamics of five distinct microstates across different conditions, including baseline resting state and self-generated states of positive valence (e.g., awe, contentment) and negative valence (e.g., anger, fear). Results: The study revealed noteworthy modulations in microstate dynamics during affective states. Additionally, valence-specific mechanisms of spontaneous affective regulation were identified. Negative valence affective states were characterized by the heightened presence of attention-associated microstates and reduced occurrence of salience-related microstates during negative valence states. In contrast, positive valence affective states manifested a prevalence of microstates related to visual/autobiographical memory and a reduced presence of auditory/language-associated microstates compared to both baseline and negative valence states. Discussion: This study contributes to the field by employing EEG microstate analysis to discern the temporal dynamics of brain networks involved in self-generated affective states. Insights from this research carry significant implications for understanding neurodynamic patterns in affective regulation. The identification of valence-specific modulations and mechanisms has potential applications in developing biomarkers for mood and anxiety disorders, offering novel avenues for therapeutic interventions.
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