• Login
    View Item 
    •   UMB Digital Archive
    • UMB Open Access Articles
    • UMB Open Access Articles
    • View Item
    •   UMB Digital Archive
    • UMB Open Access Articles
    • UMB Open Access Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UMB Digital ArchiveCommunitiesPublication DateAuthorsTitlesSubjectsThis CollectionPublication DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    Display statistics

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

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Author
    Furman, Andrew J
    Prokhorenko, Mariya
    Keaser, Michael L
    Zhang, Jing
    Chen, Shuo
    Mazaheri, Ali
    Seminowicz, David A
    Journal
    Cerebral Cortex (New York, N.Y. : 1991)
    Publisher
    Oxford University Press
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://doi.org/10.1093/cercor/bhaa124
    Abstract
    Previous research has observed that the speed of alpha band oscillations (8-12 Hz range) recorded during resting electroencephalography is slowed in chronic pain patients. While this slowing may ref lect pathological changes that occur during the chronification of pain, an alternative explanation is that healthy individuals with slower alpha oscillations are more sensitive to prolonged pain, and by extension, more susceptible to developing chronic pain. To test this hypothesis, we examined the relationship between the pain-free, resting alpha oscillation speed of healthy individuals and their sensitivity to two models of prolonged pain, Phasic Heat Pain and Capsaicin Heat Pain, at two visits separated by 8 weeks on average (n=61 Visit 1, n=46 Visit 2).We observed that the speed of an individual's pain-free alpha oscillations was negatively correlated with sensitivity to both models and that this relationship was reliable across short (minutes) and long (weeks) timescales. Furthermore, the speed of pain-free alpha oscillations can successfully identify the most pain sensitive individuals, which we validated on data from a separate, independent study. These results suggest that alpha oscillation speed is a reliable biomarker of prolonged pain sensitivity with potential for prospectively identifying pain sensitivity in the clinic.
    Rights/Terms
    © The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.
    Keyword
    EEG
    alpha
    individual alpha frequency
    pain sensitivity
    prolonged pain
    Identifier to cite or link to this item
    http://hdl.handle.net/10713/14238
    ae974a485f413a2113503eed53cd6c53
    10.1093/cercor/bhaa124
    Scopus Count
    Collections
    UMB Open Access Articles

    entitlement

    Related articles

    • Cerebral peak alpha frequency predicts individual differences in pain sensitivity.
    • Authors: Furman AJ, Meeker TJ, Rietschel JC, Yoo S, Muthulingam J, Prokhorenko M, Keaser ML, Goodman RN, Mazaheri A, Seminowicz DA
    • Issue date: 2018 Feb 15
    • Cerebral peak alpha frequency reflects average pain severity in a human model of sustained, musculoskeletal pain.
    • Authors: Furman AJ, Thapa T, Summers SJ, Cavaleri R, Fogarty JS, Steiner GZ, Schabrun SM, Seminowicz DA
    • Issue date: 2019 Oct 1
    • Slowing in Peak-Alpha Frequency Recorded After Experimentally-Induced Muscle Pain is not Significantly Different Between High and Low Pain-Sensitive Subjects.
    • Authors: De Martino E, Gregoret L, Zandalasini M, Graven-Nielsen T
    • Issue date: 2021 Dec
    • Anticipatory electroencephalography alpha rhythm predicts subjective perception of pain intensity.
    • Authors: Babiloni C, Brancucci A, Del Percio C, Capotosto P, Arendt-Nielsen L, Chen AC, Rossini PM
    • Issue date: 2006 Oct
    • Brain oscillations differentially encode noxious stimulus intensity and pain intensity.
    • Authors: Nickel MM, May ES, Tiemann L, Schmidt P, Postorino M, Ta Dinh S, Gross J, Ploner M
    • Issue date: 2017 Mar 1
    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Quick Guide | Policies | Contact Us | UMB Health Sciences & Human Services Library
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.