Evidence map›Paper›PMID 32591813›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2020

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

Andrew J Furman, Mariya Prokhorenko, Michael L Keaser, Jing Zhang, Shuo Chen, Ali Mazaheri, David A Seminowicz

2 registry-linked trialsOpen access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
7.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06731010 completednot on this mapstarted 2022, after this paper: background citation

Non-invasive Neurophysiological Methods in Predicting and Evaluating Postoperative Pain in Patients Undergoing Major Thoracic Surgery

TypeobservationalSponsorNational and Kapodistrian University of AthensRan2022 to 2024Enrolled20ConditionsPostoperative Pain, Acute, Postoperative Pain, Chronic, Postoperative Pain After Thoracic Surgery
NCT07445633 completednot on this mapstarted 2022, after this paper: background citation

The Ability of Brain Waves Activity to Detect Patient Susceptibility to Post-Operative Pain

TypeobservationalSponsorAin Shams UniversityRan2022 to 2025Enrolled100ConditionsPulp Disease, DentalArmsDetection of th alpha brain waves activity
3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 111 citations in OpenAlex.

  1. Modulation of evoked alpha oscillatory activity in the frontocentral region during analgesia by non-invasive brain stimulation.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Andrew J FurmanProgram in Neuroscience, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Mariya ProkhorenkoDepartment of Neural and Pain Sciences, University of Maryland School of Dentistry, Baltimore, MD 21201, USA.
Michael L KeaserDepartment of Neural and Pain Sciences, University of Maryland School of Dentistry, Baltimore, MD 21201, USA.
Jing ZhangDepartment of Neural and Pain Sciences, University of Maryland School of Dentistry, Baltimore, MD 21201, USA.
Shuo ChenDepartment of Epidemiology and Public Health, University of Maryland Baltimore, Baltimore, MD 21201, USA.
Ali MazaheriSchool of Psychology, University of Birmingham, Birmingham, B15 2TT, UK.
David A SeminowiczDepartment of Neural and Pain Sciences, University of Maryland School of Dentistry, Baltimore, MD 21201, USA.
University of Maryland, Baltimore · USUniversity of Birmingham · GB

Funding

A Multivariate Mediation and Deep Learning Framework for Genome-Connectome -Substance Use ResearchDP1DA048968 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI CHEN, SHUO · 2019 to 2023
$2.3M
NIDA NIH HHS DP1 DA048968
6 · The paper itself

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 reflect 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.

Indexed as

Alpha RhythmAdultBiomarkersElectroencephalographyFemaleHumansMalePainPain ThresholdSensorimotor CortexYoung AdultBiomarkersalphaEEGindividual alpha frequencypain sensitivityprolonged pain

Identifiers

PMID32591813
PMCPMC7732034
OpenAlexW3037831368

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.