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Updated: Jul 23, 2025

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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Structural brain network analysis in occipital lobe epilepsy.

Dong Ah Lee1, Ho-Joon Lee2, Kang Min Park3

  • 1Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea.

BMC Neurology
|July 15, 2023
PubMed
Summary
This summary is machine-generated.

Structural brain network analysis in occipital lobe epilepsy (OLE) reveals significant differences in global and local networks compared to healthy individuals. These network alterations correlate with epilepsy duration.

Keywords:
Diffusion tensor imagingEpilepsyOccipital lobe

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Network Science

Background:

  • Occipital lobe epilepsy (OLE) is a neurological disorder affecting visual processing and cognitive functions.
  • Understanding the underlying structural brain network alterations in OLE is crucial for diagnosis and treatment.

Purpose of the Study:

  • To analyze the structural brain network in patients with OLE.
  • To compare structural brain network properties between OLE patients and healthy controls.

Main Methods:

  • Diffusion tensor imaging (DTI) was performed on 23 OLE patients and 42 healthy controls using a 3.0T MRI scanner.
  • Global and local structural network measures were computed using the DSI Studio program.
  • Statistical comparisons were made between the OLE and control groups.

Main Results:

  • Patients with OLE exhibited significantly altered global structural network measures, including lower assortativity, mean clustering coefficient, global efficiency, and small-worldness index.
  • The characteristic path length was significantly higher in OLE patients.
  • Significant differences in local structural networks were observed beyond the occipital lobe.
  • Assortativity coefficient showed a negative correlation with epilepsy duration (r=-0.676, p=0.001).

Conclusions:

  • Structural brain network disruptions are evident in OLE patients.
  • These network alterations extend beyond the occipital lobe and are associated with disease duration.
  • Findings suggest DTI-based network analysis can provide insights into OLE pathophysiology.