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European Radiology

, Volume 29, Issue 12, pp 6750–6761 | Cite as

Alterations of white matter network in patients with left and right non-lesional temporal lobe epilepsy

  • Yunli Yu
  • Lan ChuEmail author
  • Chunfeng Liu
  • Mingming Huang
  • Houfen Wang
Molecular Imaging

Abstract

Objectives

The goal of this study was to investigate alterations of white matter (WM) network in patients with left non-lesional temporal lobe epilepsy (nl-TLE) and right nl-TLE to assess the relationship between the white matter network properties and clinical parameters.

Methods

T1 magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) were acquired for 45 participants, including 30 nl-TLE patients (13 left, 17 right) and 15 healthy controls. Diffusion tensor tractography was computed to model the WM structural network. The topologic properties of the WM network were obtained by graph theoretical analysis, and the between-group differences in global and nodal properties of the WM network were examined by network-based statistical analysis (NBS). The relationship between WM network properties and clinical parameters was assessed by Pearson’s correlation analysis.

Results

NBS results indicated that patients with left and right nl-TLE experienced distinct changes of WM nodal and global network properties compared with HCs. Positive correlation coefficients were found in several regions. The structural disruptions of networks in the two nl-TLE groups were observed to be different in distribution and severity.

Conclusions

This study provides evidence for changes of the WM network topological properties and structural connectivity in nl-TLE patients, which provide useful insights for the understanding of disease mechanisms of TLE and improving treatment outcomes for nl-TLE.

Key Points

• This study aims to investigate alterations of white matter (WM) network in patients with non-lesional temporal lobe epilepsy (nl-TLE).

• Network-based statistical analysis results indicated that patients with left and right nl-TLE experienced distinct changes of WM nodal and global network properties compared with healthy controls.

• This study provides useful insights for the understanding of disease mechanisms of TLE and improving treatment outcomes for nl-TLE.

Keywords

Non-lesional temporal lobe epilepsy White matter network Diffusion tensor tractography Graph theory 

Abbreviations

AMYG

Amygdala

BNT

Boston Naming Test

DTI

Diffusion tensor imaging

DSST

Digit symbol substitution test

EEG

Electroencephalogram

FA

Fractional anisotropy

FACT

Fiber assignment by continuous tracking

FOV

Field of view

HAMD

Hamilton Depression Scale

HCs

Healthy controls

HS

Hippocampal sclerosis

MMSE

Mini-mental state examination

MNI

Montreal Neurological Institute

MOCA

Montreal Cognitive Assessment

MRI

Magnetic resonance imaging

mTLE

Mesial TLE

nl-TLE

Non-lesional temporal lobe epilepsy

PCG.

Posterior cingulate gyrus

SFGdor.

Superior frontal gyrus (dorsolateral)

SPG.

Superior parietal gyrus

TBSS

Tract-based spatial statistics method

TE

Echo time

TLE

Temporal lobe epilepsy

TR

Repetition time

WM

White matter

Notes

Funding

The authors state that this work has not received any funding.

Compliance with ethical standards

Guarantor

The scientific guarantor of this publication is Lan Chu.

Conflict of interest

The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

Statistics and biometry

One of the authors has significant statistical expertise.

Informed consent

Written informed consent was obtained from all subjects (patients) in this study.

Ethical approval

Institutional Review Board approval was obtained.

Methodology

• prospective

• diagnostic or prognostic study

• performed at one institution

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Copyright information

© European Society of Radiology 2019

Authors and Affiliations

  1. 1.Department of NeurologyThe Second Affiliated Hospital of Soochow UniversitySuzhouChina
  2. 2.Department of NeurologyThe Affiliated Hospital of Guizhou Medical UniversityGuiyangChina
  3. 3.Department of Neurology, Institute of NeuroscienceSoochow UniversitySuzhouChina
  4. 4.Department of ImageThe Affiliated Hospital of Guizhou Medical UniversityGuiyangChina

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