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Related Experiment Video

Updated: Jan 19, 2026

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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Altered Functional Connectivity within Default Mode Network in Patients with Transient Ischemic Attack: A

Tingting Zhu1,2,3, Lingyu Li1,2,3, Yulin Song3

  • 1Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, China.

Cerebrovascular Diseases (Basel, Switzerland)
|September 13, 2019
PubMed
Summary

Transient ischemic attack (TIA) patients show altered default mode network (DMN) functional connectivity (FC). Decreased FC within DMN hubs may predict future ischemic events, aiding TIA diagnosis and intervention.

Keywords:
Default mode networkFunctional connectivityResting-state functional magnetic resonance imagingTransient ischemic attack

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Area of Science:

  • Neuroscience
  • Radiology
  • Neurology

Background:

  • The default mode network (DMN) is crucial for cognition.
  • Stroke is linked to DMN functional connectivity (FC) deficits.
  • DMN FC changes in transient ischemic attack (TIA) are not well understood.

Purpose of the Study:

  • To investigate DMN FC alterations in TIA patients.
  • To correlate DMN FC with clinical data.
  • To assess the predictive value of DMN FC for future ischemic attacks.

Main Methods:

  • Resting-state functional magnetic resonance imaging (rs-fMRI).
  • Seed-based FC analysis targeting DMN regions.
  • Comparison between 48 TIA patients and 41 healthy controls (HCs).

Main Results:

  • TIA patients exhibited reduced FC between the left middle temporal gyrus/angular gyrus and the medial prefrontal cortex (mPFC)/posterior cingulate cortex/precuneus (PCC/Pcu).
  • Reduced FC was observed among mPFC, left PCC, and right Pcu in TIA patients compared to HCs.
  • Connectivity between mPFC and left PCC predicted subsequent ischemic attacks.

Conclusions:

  • TIA is associated with significant DMN FC abnormalities.
  • Aberrant FC within DMN hubs may serve as a biomarker for TIA.
  • Findings offer insights into TIA mechanisms and potential imaging-based diagnostics/interventions.