Combined Psychophysical and Neurophysiological Tools for Mechanism-Based Observation of Impaired Nociceptive Processing

Research output: ThesisPhD Thesis - Research UT, graduation UT

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Abstract

Pain has an enormous impact on the lives of patients with chronic pain. Under healthy conditions, pain is caused by the activation of nociceptive Aδ- and C-fibers following actual or potential tissue damage. Patients with chronic neuropathic pain experience pain as a result of spontaneous activity and associated sensitization of neurons in the nociceptive system. Patients with chronic nociplastic pain experience pain as a result of sensitization and decreased inhibition of neurons in the nociceptive system. Diagnosis of nociplastic pain is complicated and usually takes several years. Treatment of neuropathic and nociplastic pain is challenging and relief is often not sufficient.

A mechanism-based approach could enable early diagnosis and effective treatment of neuropathic, nociplastic and mixed pain patients. Therefore, the goal of this thesis was ‘to develop combined psychophysical and neurophysiological tools for mechanism-based observation of impaired nociceptive processing’. The strategy was to combine psychophysical methods with neurophysiological techniques to provide mechanism-based information on nociceptive function.

The studies presented in this thesis describe the technical development and exploration of a method to observe nociceptive processing using intra-epidermal electric detection thresholds and evoked potentials, including the exploration of feasibility and utility of this method in a clinical setting. In addition, other novel technologies are explored, which could improve identification of impaired nociceptive processing in future projects.

It is shown that it is possible to simultaneously measure intra-epidermal evoked potentials, detection thresholds and the effect of stimulus properties on both outcomes in a clinical setting, and that we might use these outcomes for the observation of impaired nociceptive processing. The novel technologies that are presented in this work are still in a low technology readiness level but can aid observation of impaired nociceptive processing in future scientific and clinical applications.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • University of Twente
Supervisors/Advisors
  • Buitenweg, Jan R., Supervisor
  • Veltink, Peter H., Supervisor
Award date3 Jun 2022
Place of PublicationEnschede
Publisher
Print ISBNs978-90-365-5354-4
DOIs
Publication statusPublished - 14 Apr 2022

Keywords

  • Pain
  • Nociception
  • Electroencephalography
  • EEG
  • Evoked Potential
  • Event Related Potential
  • Machine Learning
  • Deep Learning
  • Detection Threshold
  • Perceptual Threshold
  • Psychophysics
  • Salience
  • Psychometric Curve
  • Psychometric Slope
  • Linear Mixed Regression
  • Generalized Linear Mixed Regression

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