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Related Experiment Video

Updated: Jun 21, 2026

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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Brain-heart functional network dysfunction in temporal lobe epilepsy: A microstate-based analysis.

Zihan Wei1, Xinpei Wang2,3, Yonghong Liu4

  • 1Department of Neurosurgery, General Hospital of Southern Theater Command, Guangzhou, China.

Epilepsia
|December 17, 2025
PubMed
Summary
This summary is machine-generated.

Temporal lobe epilepsy disrupts brain-heart communication, altering brain activity patterns and increasing cardiovascular risks. Microstate analysis reveals significant differences, aiding in epilepsy diagnosis.

Keywords:
brain–heart interplayelectroencephalographymicrostate analysistemporal lobe epilepsy

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Area of Science:

  • Neuroscience
  • Cardiology
  • Systems Biology

Background:

  • Epilepsy patients have higher cardiovascular risks, especially cardiac arrhythmias.
  • Brain-heart functional coupling abnormalities in epilepsy, particularly interictal periods, are not well understood.

Purpose of the Study:

  • Investigate brain-heart interplay in temporal lobe epilepsy (TLE) using synchronized electroencephalography-electrocardiography (EEG-ECG).
  • Analyze brain-heart coupling characteristics during interictal periods using microstate analysis.

Main Methods:

  • Enrolled 52 TLE patients and 42 healthy controls.
  • Analyzed 20-minute resting-state EEG segments synchronized with ECG.
  • Extracted four directional brain-heart coupling sequences (CBrain→HF, CBrain→LF, CHF→Brain, CLF→Brain).

Main Results:

  • Identified six microstate topologies, with TLE patients showing more complex and unstable patterns.
  • TLE patients exhibited altered microstate durations, occurrence rates, and temporal coverage across all coupling sequences.
  • A logistic regression model using microstate parameters achieved 94.7% diagnostic accuracy for TLE.

Conclusions:

  • TLE is characterized by significant disruptions in interictal brain-heart functional coupling.
  • Altered microstate topographies and temporal dynamics are key indicators of brain-heart axis dysfunction in epilepsy.
  • Microstate analysis offers a promising framework for understanding and diagnosing brain-heart axis dysfunction in epilepsy.