Individual metabolic brain network abnormalities associated with drug-resistant mTLE vary in surgical outcomes

Xinyi Wang1,2, Pan Zhang2,3, Dandan Lin4

  • 1Department of Radiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.

Frontiers in Neurology
|January 2, 2025
PubMed
Abstract

Insights

Drug-resistant mesial temporal lobe epilepsy (DR-MTLE) patients show altered brain network connectivity. Reduced connectivity, especially in non-seizure-free patients, impacts information processing and surgical outcomes.

Area of Science:

  • Neuroscience
  • Epilepsy Research
  • Brain Network Analysis

Background:

  • Drug-resistant mesial temporal lobe epilepsy (DR-MTLE) poses significant challenges in patient management.
  • Understanding the neural underpinnings of surgical outcomes in DR-MTLE is crucial for improving treatment efficacy.

Purpose of the Study:

  • To investigate alterations in metabolic brain network connectivity in DR-MTLE patients.
  • To correlate these connectivity changes with surgical outcomes (seizure-free vs. non-seizure-free).

Main Methods:

  • Retrospective analysis of 87 DR-MTLE patients undergoing selective amygdalohippocampectomy.
  • Comparison with 38 healthy controls (HC).
  • Construction of individualized metabolic brain networks using effect size (ES) methodology and DPABINet toolbox.

Main Results:

  • Both seizure-free (SF) and non-seizure-free (NSF) DR-MTLE groups exhibited reduced metabolic connectivity compared to HCs.
  • The NSF group showed more pronounced global reductions and weaker connections between key networks (DMN, FPN, VN) than the SF group.
  • Significant disruptions were observed in individual metabolic brain networks, particularly in the NSF group.

Conclusions:

  • Metabolic brain network disruptions are evident in DR-MTLE, especially in patients with poor surgical outcomes.
  • Impaired connectivity between limbic structures and cognitive networks (e.g., DMN) suggests inefficient brain information processing.
  • Findings offer insights into mechanisms of poor seizure control and potential for enhanced preoperative assessment.

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