Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Superior Mesenteric Vein Thrombosis: A Case Report Highlighting the Importance of Diagnostic Challenges and Successful Medical Management.

Cureus·2026
Same author

Glial fibrillary acidic protein in fibromyalgia: its serum levels and antibodies.

Advances in rheumatology (London, England)·2026
Same author

Reply to the comment on: Differential effects of human fibromyalgia sera on murine satellite glial cells.

Clinical and experimental rheumatology·2026
Same author

Biomarkers and Psychological Factors Associated with Distress in Children, Adolescents, and Young Adults Undergoing MRI Neuroimaging: A Systematic Review of Observational Studies with Clinical Recommendations.

Healthcare (Basel, Switzerland)·2026
Same author

Reserpine-induced fibromyalgia model in female rats is a long-lasting painful condition masked by antinociceptive endogenous opioids.

Frontiers in pharmacology·2026
Same author

Neural basis of attitude change motivated by cognitive dissonance: a scoping review.

Cognitive, affective & behavioral neuroscience·2026
Same journal

Improved Motor Neuron Preservation and Axonal Recovery Following Experimental Sciatic Nerve Repair With Heterologous Fibrin Biopolymer.

The European journal of neuroscience·2026
Same journal

Topography of Regional Cerebral GABA<sub>A</sub> Receptor Availability in Parkinson's Disease Patients With Freezing of Gait.

The European journal of neuroscience·2026
Same journal

Enhanced Time-Locked Decoding for Spoken Words but Not Environmental Sounds in Natural-Like Auditory Conditions.

The European journal of neuroscience·2026
Same journal

Learning Dynamics in Biophysical Spiking Network Models Are Shaped by KCC2/NKCC1 Cotransporter Stoichiometry.

The European journal of neuroscience·2026
Same journal

Dopamine Receptor Agonism in the Nucleus Accumbens Shell During Aversive Learning or Memory Retrieval: Differential Effects Depending on the Degree of Sugar Familiarity.

The European journal of neuroscience·2026
Same journal

Training in the Categorization of Aerial and Terrestrial Scenes Differentially Impacts Scene-Selective and Nonscene-Selective Regions in Occipitotemporal Cortex.

The European journal of neuroscience·2026
See all related articles

Related Experiment Video

Updated: Apr 29, 2026

Author Spotlight: Methodologies and Advancements of Chronic Pain Management Research
08:33

Author Spotlight: Methodologies and Advancements of Chronic Pain Management Research

Published on: January 5, 2024

2.0K

Multivariate Pattern Analysis Identifies Potential Intertrial Resting-State EEG Biomarkers in Fibromyalgia.

Dino Soldic1,2, María Carmen Martín-Buro1,2, David López-García3

  • 1Department of Psychology, Faculty of Health Sciences, Rey Juan Carlos University, Madrid, Spain.

The European Journal of Neuroscience
|April 27, 2026
PubMed
Summary
This summary is machine-generated.

This study used electroencephalography (EEG) and machine learning to identify brain activity patterns distinguishing fibromyalgia patients from healthy individuals. Findings suggest EEG biomarkers could aid fibromyalgia diagnosis and treatment, especially considering anxiety and symptom duration.

Keywords:
chronic paindecodingdiscriminant analysismultivariate analysisneural markerssupport vector machine

More Related Videos

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.2K
Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS
07:56

Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS

Published on: June 24, 2025

985

Related Experiment Videos

Last Updated: Apr 29, 2026

Author Spotlight: Methodologies and Advancements of Chronic Pain Management Research
08:33

Author Spotlight: Methodologies and Advancements of Chronic Pain Management Research

Published on: January 5, 2024

2.0K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.2K
Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS
07:56

Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS

Published on: June 24, 2025

985

Area of Science:

  • Neuroscience
  • Medical Imaging
  • Computational Biology

Background:

  • Fibromyalgia is characterized by widespread pain and hypersensitivity, often linked to altered brain activity.
  • Resting-state electroencephalography (EEG) shows abnormalities in chronic pain, potentially worsened by anxiety and symptom duration.
  • Identifying objective biomarkers for fibromyalgia is crucial for diagnosis and treatment.

Purpose of the Study:

  • To differentiate fibromyalgia patients from healthy controls using resting-state EEG signals via multivariate pattern analysis.
  • To investigate the influence of anxiety and symptom duration on EEG patterns in fibromyalgia.
  • To identify key scalp regions and frequency bands indicative of fibromyalgia.

Main Methods:

  • Fifty-one female participants (25 fibromyalgia, 26 controls) underwent resting-state EEG.
  • Multivariate pattern analysis was applied to intertrial EEG signals across pain-processing frequency bands.
  • Machine learning classifiers were trained using normalized power spectral density, incorporating anxiety scores and symptom duration.

Main Results:

  • Models distinguished fibromyalgia patients from controls with AUC > 0.75 across all bands, reaching 0.99 (beta/gamma) with anxiety.
  • Symptom duration was a significant factor, with models differentiating short-term from long-term patients up to 0.96 AUC (beta/gamma).
  • Theta power alterations in frontal/parietal regions and frequency-specific patterns indicated disrupted pain processing.

Conclusions:

  • Resting-state EEG combined with multivariate pattern analysis shows promise for identifying fibromyalgia biomarkers.
  • Anxiety and prolonged symptom duration significantly impact EEG alterations in fibromyalgia.
  • These findings support the development of objective diagnostic and therapeutic tools for fibromyalgia.