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Related Concept Videos

Factors Affecting Perception01:25

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Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
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The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
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Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
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Related Experiment Video

Updated: Jan 9, 2026

Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram
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Pain Qualities Associated With Body Perception Disturbances: Insights From Machine Learning and SHapley Additive

Hayato Shigetoh1, Masayuki Koga2, Yoichi Tanaka3

  • 1Department of Physical Therapy, Faculty of Health Science, Kyoto Tachibana University, Kyoto, Japan; Neurorehabilitation Research Center, Kio University, Nara, Japan.

Archives of Physical Medicine and Rehabilitation
|December 5, 2025
PubMed
Summary

Machine learning analysis revealed that "cramping pain" and "gnawing pain" are strongly linked to body perception disturbances in musculoskeletal pain patients. These findings highlight the importance of kinesthesia-related pain qualities.

Keywords:
Body perception disturbancesPain qualityRehabilitationSHapley Additive exPlanations

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Area of Science:

  • Pain research
  • Machine learning in healthcare
  • Musculoskeletal disorders

Background:

  • Body perception disturbances are common in patients with musculoskeletal pain.
  • Understanding the specific pain qualities associated with these disturbances is crucial for effective treatment.

Purpose of the Study:

  • To identify specific pain qualities linked to body perception disturbances in musculoskeletal pain patients.
  • To utilize machine learning interpretability methods for this identification.

Main Methods:

  • A cross-sectional study involving 179 musculoskeletal pain patients.
  • Utilized self-reported questionnaires: Short-Form McGill Pain Questionnaire-2 (SFMPQ-2) and Fremantle Body Awareness Questionnaire (FreBAQ).
  • Employed SHapley Additive exPlanation (SHAP) analysis within a random forest model.

Main Results:

  • SHAP analysis identified "cramping pain" as a top contributor to body perception disturbances.
  • Bivariate correlations showed "gnawing pain" had the strongest association with body awareness.
  • Both methods converged on kinesthesia-related pain descriptors.

Conclusions:

  • Multiple pain qualities are associated with disturbed body perception in musculoskeletal pain.
  • Kinesthesia-related pain descriptors show a prominent link to body perception disturbances.
  • Findings may inform sensorimotor-focused assessment and interventions.