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Abnormal Static and Dynamic Functional Connectivity in Tension-Type Headache: A Support Vector Machine Analysis.

Mengting Li1, Shuxian Zhang2, Fan Chu3

  • 1School of Psychology, Zhejiang Normal University, Jinhua, China.

Journal of Neuroscience Research
|June 16, 2025
PubMed
Summary
This summary is machine-generated.

Tension-type headache (TTH) patients exhibit altered brain connectivity patterns. This study identifies specific functional connectivity disruptions in TTH, potentially aiding in developing diagnostic neuro-markers.

Keywords:
default mode networkfunctional connectivitypercent amplitude of fluctuationstemporal variabilitytension‐type headache

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Area of Science:

  • Neuroimaging
  • Neurology
  • Brain Connectivity

Background:

  • Tension-type headache (TTH) is the most common primary headache disorder.
  • While local brain abnormalities in TTH are known, brain connectivity disruptions remain under-investigated.
  • Understanding TTH pathophysiology requires exploring functional brain network alterations.

Purpose of the Study:

  • To investigate static and dynamic functional connectivity (FC) alterations in the default mode network (DMN) in TTH patients.
  • To identify distinct brain connectivity patterns differentiating TTH patients from healthy controls (HCs).
  • To evaluate the potential of brain connectivity metrics for TTH classification.

Main Methods:

  • Resting-state functional magnetic resonance imaging (rs-fMRI) data from 33 TTH patients and 30 HCs.
  • Calculation of static and dynamic FC between the DMN and the whole brain.
  • Application of a support vector machine (SVM) model for classification.

Main Results:

  • TTH patients displayed increased FC between the left posterior cingulate cortex (PCC) and left parahippocampal/left middle frontal gyrus (MFG).
  • Decreased dynamic FC was noted between the left PCC and several regions, including the right middle occipital gyrus (MOG) and left precuneus.
  • The SVM model achieved 70.476% accuracy and an AUC of 0.658 in distinguishing TTH patients.

Conclusions:

  • TTH is associated with significant abnormalities in both static and dynamic brain connectivity.
  • These connectivity alterations involve multiple brain regions and networks.
  • Brain connectivity analysis offers a promising avenue for developing neuro-markers for TTH detection and clinical applications.