Evidence map›Paper›PMID 41121717›Full record

ArticlePain management2025

Electroencephalographic correlates of pain catastrophizing in chronic musculoskeletal pain: a scoping review.

Cory Alcon, Cassidy Krieger, Melike Kahya

Abstract readScoping Review
In one paragraph

Article in Pain management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Cory AlconDepartment of Physical Therapy, High Point University, High Point, NC, USA.ORCID 0000-0001-7654-4301
Cassidy KriegerDepartment of Neuroscience, High Point University, High Point, NC, USA.
Melike KahyaDepartment of Physical Therapy, High Point University, High Point, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introIndividuals with chronic musculoskeletal pain (CMP) and high pain catastrophizing demonstrate functional and structural brain changes via functional magnetic resonance imaging that may serve as useful neural correlates. Yet, few studies take advantage of electroencephalography (EEG), a more cost effective and accessible tool. Utilizing EEG to further establish clinical characteristics of pain catastrophizing may assist in developing novel interventions that modulate brain activity and expand the depth at which CMP is treated.

methodsSearch strings were entered into PubMed, ProQuest Central, and Scopus and included keywords such as pain catastrophizing and electroencephalography. Articles retrieved underwent blinded review by two independent reviewers.

resultsSeven studies identified significant relationships between EEG measures and pain catastrophizing while five studies found no relationship. Increased pain catastrophizing was found to be correlated with decreased P2 amplitudes, lower signal attenuation following sensory stimuli, increased lagged coherence connectivity, and lower frontal apply asymmetries.

conclusionLow-quality evidence demonstrates that neurophysiological relationships may exist between pain catastrophizing and brain regions commonly associated with pain processing. These relationships highlight potential targets for novel interventions aiming to modulate those brain regions to promote recovery of CMP. Further research is needed to better understand the relationship between pain catastrophizing and EEG measures.

Indexed as

BrainCatastrophizationChronic PainElectroencephalographyMusculoskeletal PainHumansbrain imagingChronic painelectroencephalographypain catastrophizingpain management

Identifiers

PMID41121717
PMCPMC12674245

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.