ArticleSocial cognitive and affective neuroscience2022
Unsupervised classification reveals consistency and degeneracy in neural network patterns of emotion.
Article in Social cognitive and affective neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Putting Emotional Memories in Context: The Constructionist Model of Emotional Memory.Perspectives on psychological science : a journal of the Association for Psychological Science · 2026Review
- The inadequacy of normative ratings for building stimulus sets in affective science.Emotion (Washington, D.C.) · 2026Article
- Intrinsic network static and dynamic functional connectivity associated with induced affect.Social cognitive and affective neuroscience · 2026Article
- Affective abstraction predicts variation in alexithymia, depression, and autism spectrum quotient.Emotion (Washington, D.C.) · 2025Article
- The Theory of Constructed Emotion: More Than a Feeling.Perspectives on psychological science : a journal of the Association for Psychological Science · 2025Article
- Naturalistic multimodal emotion data with deep learning can advance the theoretical understanding of emotion.Psychological research · 2024Review
- Neural Predictors of Fear Depend on the Situation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Complex Emotion Dynamics Contribute to the Prediction of Depression: A Machine Learning and Time Series Feature Extraction Approach.Affective science · 2024Article
- Fear-related psychophysiological patterns are situation and individual dependent: A Bayesian model comparison approach.Emotion (Washington, D.C.) · 2024Article
- The degenerate coding of psychometric profiles through functional connectivity archetypes.Frontiers in human neuroscience · 2024Article
- Multimodal, Idiographic Ambulatory Sensing Will Transform our Understanding of Emotion.Affective science · 2023Article
- Anxious individuals shift emotion control from lateral frontal pole to dorsolateral prefrontal cortex.Nature communications · 2023Article
- The nature and neurobiology of fear and anxiety: State of the science and opportunities for accelerating discovery.Neuroscience and biobehavioral reviews · 2023Review
- Coherence and divergence in autonomic-subjective affective space.Psychophysiology · 2023Article
- Improving the study of brain-behavior relationships by revisiting basic assumptions.Trends in cognitive sciences · 2023Review
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Authors and funding
6 authors.
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Abstract
In the present study, we used an unsupervised classification algorithm to reveal both consistency and degeneracy in neural network connectivity during anger and anxiety. Degeneracy refers to the ability of different biological pathways to produce the same outcomes. Previous research is suggestive of degeneracy in emotion, but little research has explicitly examined whether degenerate functional connectivity patterns exist for emotion categories such as anger and anxiety. Twenty-four subjects underwent functional magnetic resonance imaging (fMRI) while listening to unpleasant music and self-generating experiences of anger and anxiety. A data-driven model building algorithm with unsupervised classification (subgrouping Group Iterative Multiple Model Estimation) identified patterns of connectivity among 11 intrinsic networks that were associated with anger vs anxiety. As predicted, degenerate functional connectivity patterns existed within these overarching consistent patterns. Degenerate patterns were not attributable to differences in emotional experience or other individual-level factors. These findings are consistent with the constructionist account that emotions emerge from flexible functional neuronal assemblies and that emotion categories such as anger and anxiety each describe populations of highly variable instances.
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