Literature DB >> 20460116

Pain assessment by continuous EEG: association between subjective perception of tonic pain and peak frequency of alpha oscillations during stimulation and at rest.

Rony-Reuven Nir1, Alon Sinai, Einat Raz, Elliot Sprecher, David Yarnitsky.   

Abstract

Recordings of neurophysiological brain responses to noxious stimuli have been traditionally based on short stimuli, in the order of milliseconds, which induce distinct event-related potentials (ERPs). However, using such stimuli in the experimental setting is disadvantageous as they are too brief to faithfully simulate clinical pain. We aimed at utilizing continuous EEG to investigate the properties of peak alpha frequency (PAF) as an objective cortical measure associated with subjective perception of tonic pain. Five minute long continuous EEG was recorded in 18 healthy volunteers under: (i) resting-state; (ii) innocuous temperature; and (iii) psychophysically-anchored noxious temperature. Numerical pain scores (NPSs) collected during the application of tonic noxious stimuli were tested for correlation with peak frequencies of alpha power-curves derived from central, temporal and frontal electrodes. NPSs and PAFs remained stable throughout the recording conditions (RM-ANOVAs; Ps>0.51). In the noxious condition, PAFs obtained at the bilateral temporal scalp were correlated with NPSs (Ps<0.001). Moreover, resting-state PAFs recorded at the bilateral temporal scalp were correlated with NPSs reported during the noxious condition (Ps<0.01). These psychophysical-neurophysiological relations attest to the properties of PAF as a novel cortical objective measure of subjective perception of tonic pain. Moreover, resting-state PAFs might hold inherent pain modulation attributes, possibly enabling the prediction of individual responsiveness to prolonged pain. The relevance of PAF to the neural processing of tonic pain may indicate its potential to advance pain research as well as clinical pain characterization. Copyright (c) 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20460116     DOI: 10.1016/j.brainres.2010.05.004

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  29 in total

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2.  Quantifying and Characterizing Tonic Thermal Pain Across Subjects From EEG Data Using Random Forest Models.

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4.  Cerebral peak alpha frequency reflects average pain severity in a human model of sustained, musculoskeletal pain.

Authors:  Andrew J Furman; Tribikram Thapa; Simon J Summers; Rocco Cavaleri; Jack S Fogarty; Genevieve Z Steiner; Siobhan M Schabrun; David A Seminowicz
Journal:  J Neurophysiol       Date:  2019-08-07       Impact factor: 2.714

5.  Sensorimotor Peak Alpha Frequency Is a Reliable Biomarker of Prolonged Pain Sensitivity.

Authors:  Andrew J Furman; Mariya Prokhorenko; Michael L Keaser; Jing Zhang; Shuo Chen; Ali Mazaheri; David A Seminowicz
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6.  Towards a physiology-based measure of pain: patterns of human brain activity distinguish painful from non-painful thermal stimulation.

Authors:  Justin E Brown; Neil Chatterjee; Jarred Younger; Sean Mackey
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Review 7.  Analytic consistency and neural correlates of peak alpha frequency in the study of pain.

Authors:  Natalie J McLain; Moheb S Yani; Jason J Kutch
Journal:  J Neurosci Methods       Date:  2021-12-24       Impact factor: 2.987

8.  Placebo Analgesia Changes Alpha Oscillations Induced by Tonic Muscle Pain: EEG Frequency Analysis Including Data during Pain Evaluation.

Authors:  Linling Li; Hui Wang; Xijie Ke; Xiaowu Liu; Yuan Yuan; Deren Zhang; Donglin Xiong; Yunhai Qiu
Journal:  Front Comput Neurosci       Date:  2016-05-10       Impact factor: 2.380

9.  Low Back Pain Assessment Based on Alpha Oscillation Changes in Spontaneous Electroencephalogram (EEG).

Authors:  Li Feng; Hanlei Li; Hongyan Cui; Xiaobo Xie; Shengpu Xu; Yong Hu
Journal:  Neural Plast       Date:  2021-07-01       Impact factor: 3.599

10.  Altered resting state EEG in chronic pancreatitis patients: toward a marker for chronic pain.

Authors:  Marjan de Vries; Oliver Hg Wilder-Smith; Marijtje LA Jongsma; Emanuel N van den Broeke; Martijn Arns; Harry van Goor; Clementina M van Rijn
Journal:  J Pain Res       Date:  2013-11-25       Impact factor: 3.133

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