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Modelling Pain Perception Using Fuzzy Cognitive Maps
Hojjatollah Farahani1, Nataša Kovač2, Helal Fardi3
1Department of Psychology, Faculty of Humanities, Tarbiat Modares University, Tehran, Iran.
Journal of Pain Research
|October 9, 2025
Summary
This study developed a computational model using Fuzzy Cognitive Maps (FCMs) to understand pain perception. The model simulates how physiological, psychological, and social factors interact to influence individual pain experiences.
Area of Science:
- Computational neuroscience
- Pain research
- Multidisciplinary pain science
Background:
- Pain perception is a complex interplay of physiological, psychological, and social factors.
- Effective pain management requires understanding these intricate interactions.
- Developing predictive models is crucial for advancing pain research and treatment.
Purpose of the Study:
- To develop a computational model simulating individual pain experiences.
- To utilize Fuzzy Cognitive Maps (FCMs) for modeling pain perception.
- To provide a framework for individualized pain management and drug development.
Main Methods:
- An FCM model was constructed using expert-sourced data from 20 specialists across five disciplines.
- Data collection involved questionnaires, fuzzy matrices for influence strength, and interviews for validation.
- Expert-defined causal relationships were analyzed using fuzzy logic to build the model's weight matrix.
Main Results:
- The FCM model integrates key concepts: neural basis, psychological, social factors, individual differences, tissue damage, and pain perception.
- Strong reinforcing influences exist between psychological and neural factors; social factors showed inhibitory effects.
- Centrality analysis identified individual differences as a key mediating factor, with the model demonstrating internal stability.
Conclusions:
- The FCM model effectively represents the complex interactions influencing pain perception.
- Expert consensus and simulations validated the model's utility.
- Future research will focus on empirical validation using psychological instruments for real-world comparison.
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