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Updated: Mar 15, 2026

Dynamic Quantitative Sensory Testing to Characterize Central Pain Processing
Published on: February 16, 2017
Digital Phenotyping of Pain Modulation and Associations Among Personality, Attachment, and Behavioral Signatures:
Chie Kishimoto1,2, Hani M Bu-Omer1, Aya Nakae1
1Presence Media Research Group, Hiroshi Ishiguro Laboratories, Deep Interaction Laboratory Group, Advanced Telecommunications Research Institute International, Seika-cho, Soraku-gun, Kyoto, Japan.
This study shows that digital phenotyping of pain perception can identify individual psychological traits linked to chronic pain susceptibility. Dynamic behavioral signatures offer objective markers for personalized pain management, moving beyond traditional questionnaires.
Area of Science:
- Neuroscience
- Psychology
- Digital Health
Background:
- Chronic pain transition involves dissociation between tissue damage and subjective reports, influenced by a personal 'susceptibility architecture'.
- Current pain assessment relies on text-based questionnaires, prone to linguistic bias and cognitive literacy issues.
- Hypothesis: Real-time behavioral signatures during physical challenge can characterize an individual's psychological substrate.
Purpose of the Study:
- Demonstrate identification of the 'pain-prone' phenotype via high-frequency digital pain rating assessment.
- Correlate psychometric traits with dynamic behavioral signatures for digital phenotyping.
- Establish a foundation for digital phenotyping beyond linguistic self-reports.
Main Methods:
- 534 healthy volunteers underwent controlled thermal stimulation (36°C to 48°C).
- Continuous pain intensity recorded using a high-frequency (1000 Hz) digital visual analog scale (VAS).
- Psychological profiling via NEO PI-R and Relationship Questionnaire; derived behavioral indexes: temporal augmentation index (TAI) and cognitive contrast effect.
Main Results:
- Significant main effect of time for all noxious conditions (P<.001).
- Vulnerability (NEO PI-R N6) associated with contrast magnitude (q=.03) and TAI trend (q=.09).
- Self-discipline (NEO PI-R C5) negatively associated with TAI (q=.048); mediation analysis revealed distinct stabilization and instability pathways.
Conclusions:
- Subjective pain evaluation is governed by a stable internal psychological substrate.
- Dynamic behavioral signatures provide a framework for 'digital phenotyping' of pain.
- Objective behavioral markers enable early identification of susceptibility, supporting personalized pain management.
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