A novel electroencephalography-based tool for objective assessment of network dynamics activated by nociceptive stimuli

A. Reches, R. R. Nir, M. J. Shram, D. Dickman, I. Laufer, R. Shani-Hershkovich, Y. Stern, M. Weiss, D. Yarnitsky, A. B. Geva

نتاج البحث: نشر في مجلةمقالةمراجعة النظراء

ملخص

Background Pain perception is typically assessed using subjective measures; an objective measure of the response to pain would be valuable. In this study, Brain Network Activation (BNA), a novel multivariate pattern analysis and scoring algorithm, was applied to event-related potentials (ERPs) elicited by cortical responses to brief heat stimuli. Objectives of this study were to evaluate the utility of BNA as a quantitative and qualitative measure of cortical response to pain. Methods Contact Heat Evoked Potentials (CHEPs) data were collected from 17 healthy, right-handed volunteers (10 M, 7F) using 5 different temperatures (35, 41, 46, 49 and 52 °C). A set of spatio-temporal activity patterns common to all the subjects in the group (Reference Brain Network Model; RBNM) was generated using the BNA algorithm, based on evoked responses at 52 °C. Results Frame by frame 'unfolding' of the brain network across time showed qualitative differences between responses to painful and non-painful stimuli. Brain network activation scores were shown to be a better indicator of the individual's sensitivity to pain when compared to subjective pain ratings. Additionally, BNA scores correlated significantly with temperature, demonstrated good test-retest reliability, as well as a high degree of sensitivity, specificity and accuracy in correctly categorizing subjects who reported stimuli as painful. Conclusions These results may provide evidence that the multivariate analysis performed with BNA may be useful as a quantitative, temporally sensitive tool for assessment of pain perception.

اللغة الأصليةإنجليزيّة أمريكيّة
الصفحات (من إلى)250-262
عدد الصفحات13
دوريةEuropean Journal of Pain
مستوى الصوت20
رقم الإصدار2
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 1 فبراير 2016

All Science Journal Classification (ASJC) codes

  • !!Anesthesiology and Pain Medicine

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