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Related Concept Videos

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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Related Experiment Video

Updated: May 21, 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

Brain imaging in fibromyalgia.

Liliana Lourenço Jorge1, Edson Amaro

  • 1Hospital Israelita Albert Einstein and Instituto de Reabilitação Lucy Montoro, Avenida Albert Einstein, 627 3rd Floor Block D, 05651901, Morumbi, Sao Paulo, Brazil. lilianalj@einstein.br

Current Pain and Headache Reports
|June 22, 2012
PubMed
Summary
This summary is machine-generated.

Fibromyalgia involves brain alterations affecting pain processing, with neuroimaging revealing abnormal brain activity and structure. These findings help understand fibromyalgia pathophysiology and develop targeted treatments.

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Published on: June 2, 2014

Area of Science:

  • Neuroscience
  • Pain Medicine
  • Medical Imaging

Background:

  • Fibromyalgia presents as a primary brain disorder or results from peripheral issues causing brain changes.
  • Mechanisms overlap with other pain conditions, with neuroimaging studies linking brain alterations to clinical pain findings.

Purpose of the Study:

  • To explore the neural correlates of abnormal pain modulation in fibromyalgia.
  • To confirm clinical hyperalgesia and impaired descending inhibition using neuroimaging.
  • To investigate cognitive-affective influences on pain perception in fibromyalgia.

Main Methods:

  • Utilized various neuroimaging techniques including positron-emission tomography (PET), single-photon-emission-computed tomography (SPECT), and blood-oxygen-level-dependent (BOLD) functional MRI.
  • Employed voxel-based morphometry (VBM) and diffusion tensor imaging (DTI) for structural analysis.
  • Applied default mode network (DMN) analysis and magnetic resonance spectroscopy (MRS) to assess connectivity and metabolites.

Main Results:

  • Neuroimaging confirmed differences in brain activation during resting and pain-evoked states, supporting clinical hyperalgesia and impaired descending pain inhibition.
  • Evidence of cognitive-affective influences on pain experiences, leading to augmented pain processing.
  • Functional and structural data revealed gray matter atrophy, altered intrinsic connectivity networks, and metabolite variations.

Conclusions:

  • Neuroimaging data provide a comprehensive understanding of fibromyalgia pathophysiology.
  • Findings support the role of central nervous system alterations in fibromyalgia.
  • These insights pave the way for developing more personalized and effective fibromyalgia treatments.