ArticleFrontiers in human neuroscience2024
The degenerate coding of psychometric profiles through functional connectivity archetypes.
Article in Frontiers in human neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Racial and Gender Differences in Mindfulness, Engaged Living, and Psychological Inflexibility Within a Hawai'i-Based College Sample.Behavioral sciences (Basel, Switzerland) · 2026Article
- Quantifying spectral information and redundancy in high-dimensional personality taxonomies: an entropy-based approach.Frontiers in psychology · 2026Article
- Sex and Gender Identities Are Emergent Properties of Neural Complexity.Behavioral sciences (Basel, Switzerland) · 2025Review
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Authors and funding
3 authors.
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Abstract
Introduction: Degeneracy in the brain-behavior code refers to the brain's ability to utilize different neural configurations to support similar functions, reflecting its adaptability and robustness. This study aims to explore degeneracy by investigating the non-linear associations between psychometric profiles and resting-state functional connectivity (RSFC). Methods: The study analyzed RSFC data from 500 subjects to uncover the underlying neural configurations associated with various psychometric outcomes. Self-organized maps (SOM), a type of unsupervised machine learning algorithm, were employed to cluster the RSFC data. And identify distinct archetypal connectivity profiles characterized by unique within- and between-network connectivity patterns. Results: The clustering analysis using SOM revealed several distinct archetypal connectivity profiles within the RSFC data. Each archetype exhibited unique connectivity patterns that correlated with various cognitive, physical, and socioemotional outcomes. Notably, the interaction between different SOM dimensions was significantly associated with specific psychometric profiles. Discussion: This study underscores the complexity of brain-behavior interactions and the brain's capacity for degeneracy, where different neural configurations can lead to similar behavioral outcomes. These findings highlight the existence of multiple brain architectures capable of producing similar behavioral outcomes, illustrating the concept of neural degeneracy, and advance our understanding of neural degeneracy and its implications for cognitive and emotional health.
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