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

Spatial and temporal connectivity of brain resting-state fMRI during music-induced analgesia in fibromyalgia patients.

Frontiers in human neuroscience·2026
Same author

Brain structural morphometry in non-musicians with superior pitch identification ability.

Scientific reports·2026
Same author

Brain network functional connectivity changes induced by music-induced analgesia in fibromyalgia patients.

Scientific reports·2026
Same author

The Relationship Between the Mathematics Anxiety and Mathematics Achievement of Middle School Students: The Moderating Effect of Working Memory.

Behavioral sciences (Basel, Switzerland)·2025
Same author

Differences in structural brain morphometry between musicians and non-musicians.

Frontiers in human neuroscience·2025
Same author

Development of x-ray imaging diagnostics on Experimental Advanced Superconducting Tokamak using Timepix3 detector.

The Review of scientific instruments·2025

Related Experiment Video

Updated: Jun 11, 2026

A Randomized, Sham-Controlled Trial of Cranial Electrical Stimulation for Fibromyalgia Pain and Physical Function, Using Brain Imaging Biomarkers
08:33

A Randomized, Sham-Controlled Trial of Cranial Electrical Stimulation for Fibromyalgia Pain and Physical Function, Using Brain Imaging Biomarkers

Published on: January 5, 2024

Alterations in cortical surface morphometry in fibromyalgia: a multi-parametric study.

Jiancheng Hou1,2, Changan Sun3

  • 1Research Center for Cross-Straits Cultural Development, Fujian Normal University, Fuzhou, China.

Frontiers in Psychology
|June 10, 2026
PubMed
Summary
This summary is machine-generated.

Fibromyalgia (FM) is linked to widespread brain surface changes, including cortical thickness and folding patterns. These structural differences in fibromyalgia patients correlate with symptoms like depression and anxiety.

Keywords:
clinical measuresfibromyalgiamulti-parametricspainsurface-based morphometry

More Related Videos

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index
09:57

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

Published on: January 2, 2012

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

Related Experiment Videos

Last Updated: Jun 11, 2026

A Randomized, Sham-Controlled Trial of Cranial Electrical Stimulation for Fibromyalgia Pain and Physical Function, Using Brain Imaging Biomarkers
08:33

A Randomized, Sham-Controlled Trial of Cranial Electrical Stimulation for Fibromyalgia Pain and Physical Function, Using Brain Imaging Biomarkers

Published on: January 5, 2024

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index
09:57

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

Published on: January 2, 2012

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

Area of Science:

  • Neuroimaging
  • Neuroscience
  • Medical Imaging

Background:

  • Fibromyalgia (FM) is a chronic pain disorder with an unclear neuroanatomical basis.
  • Previous studies used volumetric measures, which are insensitive to cortical surface morphology.

Purpose of the Study:

  • To investigate multi-parametric surface-based morphometry in FM patients.
  • To examine cortical thickness (CT), fractal dimension (FD), gyrification index (GI), and sulcal depth (SD) in FM.

Main Methods:

  • 33 female FM patients and 33 age-matched healthy controls (HC) underwent T1-weighted MRI.
  • Non-parametric permutation testing (TFCE, p < .05) was used to assess group differences.
  • Correlations with clinical measures (depression, anxiety, alexithymia, pain, disease impact) were explored.

Main Results:

  • FM patients exhibited widespread bidirectional alterations across all four metrics (CT, FD, GI, SD).
  • Significant differences were observed in sensorimotor, visual, temporal, and prefrontal cortical regions.
  • Cortical thickness in the left caudal anterior cingulate remained positively correlated with depression in FM patients.

Conclusions:

  • Fibromyalgia is associated with a multifaceted cortical phenotype affecting pain processing, emotion regulation, and self-referential cognition.
  • These structural alterations provide a framework complementing existing functional models of FM.
  • The findings highlight the complex neuroanatomical underpinnings of fibromyalgia.