Monitoring the Analgesic Effect of Buprenorphine With Single-Sweep Pharmaco-EEG
Translated title
Monitorering af den Analgetiske Effekt af Buprenorfin med Single-Sweep Pharmaco-EEG
Author
Gram, Mikkel
Term
4. term
Publication year
2012
Submitted on
2012-06-01
Abstract
Dette studie undersøgte, om ændringer i EEG fra enkelt-sweep fremkaldte potentialer kan monitorere den smertelindrende effekt af buprenorphin. I et randomiseret, dobbeltblindet cross-over-design gennemførte 15 raske deltagere både transdermal buprenorphin- og placebobehandling. Under behandlingsforløbet blev plasmakoncentrationer, bivirkninger og smertetests (varme og knogletryk) registreret, samtidig med at evokerede potentialer blev optaget ved elektrisk stimulering af medianusnerven. Kontinuerlig wavelet-transform blev anvendt til at udtrække amplitude- og latenstegn i delta-, theta-, alfa- og beta-bånd fra enkelt-sweeps; tegn blev log-transformeret, baseline-korrigeret, analyseret med tovejs gentagne målinger ANOVA, og signifikante forskelle versus placebo blev korreleret til kliniske mål. Amplitudefunktioner i alle frekvensbånd adskilte buprenorphin fra placebo, mens latenser ikke gjorde; særligt korrelerede et beta-båndsfeature med knoglesmerte-scorer (P=0,008) og plasmakoncentrationer (P=0,02). Fundene indikerer, at specifikke EEG-tegn afspejler buprenorphins analgetiske effekt, og at enkelt-sweep farmako-EEG kan anvendes som et objektivt monitoreringsværktøj i kliniske lægemiddelforsøg.
This study examined whether changes in EEG from single-sweep evoked potentials can monitor the analgesic effect of buprenorphine. In a randomized, double-blind, cross-over design, 15 healthy participants received both transdermal buprenorphine and placebo. Throughout treatment, plasma drug concentrations, adverse effects, and pain assessments (heat and bone pressure) were collected, while evoked potentials were recorded during electrical stimulation of the median nerve. Continuous wavelet transform was used to extract amplitude and latency features in delta, theta, alpha, and beta bands from single sweeps; features were log-transformed, baseline-corrected, analyzed with two-way repeated-measures ANOVA, and significant differences versus placebo were correlated with clinical measures. Amplitude features across all frequency bands differentiated buprenorphine from placebo, whereas latencies did not; notably, a beta-band feature correlated with bone pain scores (P=0.008) and plasma concentrations (P=0.02). These findings indicate that specific EEG features reflect the analgesic effect of buprenorphine and suggest that single-sweep pharmaco-EEG may serve as an objective tool to monitor analgesia in clinical drug trials.
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