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Related Concept Videos

Brain Imaging01:14

Brain Imaging

272
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...
272

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Related Experiment Video

Updated: Aug 4, 2025

3D-Neuronavigation In Vivo Through a Patient's Brain During a Spontaneous Migraine Headache
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Functional brain alterations in migraine patients: an activation likelihood estimation study.

Lihua Gu1, Hao Shu2, Yanjuan Wang3

  • 1Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China.

Neurological Research
|April 5, 2023
PubMed
Summary

Migraine patients exhibit altered brain activity in regions associated with pain and cognition. Activation Likelihood Estimation (ALE) reveals consistent functional changes in the cingulate gyrus, basal ganglia, and frontal cortex.

Keywords:
Activation likelihood estimationamplitude of low-frequency fluctuationsbrainfunctional magnetic resonance imagingmigraine

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Area of Science:

  • Neuroimaging
  • Neurology
  • Medical Science

Background:

  • Functional magnetic resonance imaging (fMRI) studies show inconsistent brain activation patterns between migraine patients and healthy controls.
  • Activation Likelihood Estimation (ALE) is a voxel-based technique used to synthesize findings from multiple neuroimaging studies.

Purpose of the Study:

  • To explore concordant functional brain changes in migraine patients using the ALE method.
  • To identify consistent patterns of brain activation and connectivity alterations in migraine.

Main Methods:

  • A systematic literature search was conducted in PubMed, Web of Science, and Google Scholar for studies published before October 2022.
  • Activation Likelihood Estimation (ALE) was employed to meta-analyze functional neuroimaging data from migraine patients and healthy controls.

Main Results:

  • Migraine patients displayed altered amplitude of low-frequency fluctuations (ALFF) in various brain regions, including the lingual gyrus, posterior cingulate, precuneus, claustrum, caudate, insula, and parahippocampal gyrus.
  • Regional homogeneity (ReHo) and whole-brain functional connectivity (FC) also showed significant differences in migraineurs, particularly in the thalamus, middle temporal gyrus, and inferior frontal gyrus.
  • ALE analysis identified consistent functional changes in the cingulate gyrus, basal ganglia, and frontal cortex, implicating these areas in migraine pathophysiology.

Conclusions:

  • ALE analysis revealed consistent functional alterations in widespread brain regions in migraine patients.
  • These identified regions are involved in pain processing, cognitive functions, and emotional regulation.
  • The findings offer crucial insights into the underlying pathophysiology of migraine.