Variation is the Norm: Brain State Dynamics Evoked By Emotional Video Clips
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Abstract (arXiv)
For the last several decades, emotion research has attempted to identify a "biomarker" or consistent pattern of brain activity to characterize a single category of emotion (e.g., fear) that will remain consistent across all instances of that category, regardless of individual and context. In this study, we investigated variation rather than consistency during emotional experiences while people watched video clips chosen to evoke instances of specific emotion categories. Specifically, we developed a sequential probabilistic approach to model the temporal dynamics in a participant's brain activity during video viewing. We characterized brain states during these clips as distinct state occupancy periods between state transitions in blood oxygen level dependent (BOLD) signal patterns. We found substantial variation in the state occupancy probability distributions across individuals watching the same video, supporting the hypothesis that when it comes to the brain correlates of emotional experience, variation may indeed be the norm.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 0 of its 14 references that are in the map. First posted on arXiv 24 Oct 2021.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 2; 2025: 1.
4 papers.
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- 2024KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operatorscited by 4
- 2025Exploring Theory-Laden Observations in the Brain Basis of Emotional Experiencecited by 0
- 2025Exploring Theory-Laden Observations in the Brain Basis of Emotional Experience30 Jun 2025
- 2024KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators29 Sep 2024
- 2024Learning Semilinear Neural Operators : A Unified Recursive Framework For Prediction And Data Assimilation24 Feb 2024
- 2022Boundary-Aware Uncertainty for Feature Attribution Explainers5 Oct 2022