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Updated: May 1, 2026

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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
Published on: August 5, 2014
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Persistent white matter disruption underlies apparent functional normalization in intractable temporal lobe epilepsy:
Chuanyong Qu1,2, Tingjie Ma1, Lian Gu3
1Department of Neurology, People's Hospital of Ningxia Hui Autonomous Region, Ningxia Medical University, Yinchuan 750002, China.
IBRO Neuroscience Reports
|April 30, 2026
Summary
Persistent white matter abnormalities in intractable temporal lobe epilepsy (ITLE) may explain treatment resistance, even when brain function appears normal after therapy. This structural-functional dissociation highlights potential targets for future ITLE treatments.
Area of Science:
- Neuroimaging
- Epilepsy Research
- Brain Function
Background:
- Intractable temporal lobe epilepsy (ITLE) presents significant treatment challenges.
- Existing neuroimaging studies show functional and structural brain abnormalities in ITLE.
- The combined impact of these abnormalities on treatment resistance is not well understood.
Purpose of the Study:
- To investigate the relationship between functional and structural brain changes in ITLE patients.
- To determine if these changes correlate with treatment refractoriness.
- To explore potential neuroimaging markers for ITLE treatment resistance.
Main Methods:
- Longitudinal resting-state fMRI (rs-fMRI) and diffusion tensor imaging (DTI) data were collected from ITLE patients (pre-/post-treatment) and healthy controls.
- Analysis included functional (ALFF/ReHo) and structural (FA/MD/AD/RD) feature extraction.
- Exploratory analyses utilized random-forest classification and UMAP visualization to compare discriminative patterns.
Main Results:
- Post-treatment, ITLE patients showed partial normalization of functional measures towards control levels.
- White matter abnormalities, particularly reduced fractional anisotropy in the Fornix (crus)/Stria terminalis, persisted post-treatment.
- Exploratory classification revealed that structural features distinguished ITLE from controls even after treatment, while functional features often misclassified post-treatment ITLE as healthy, indicating a structural-functional dissociation.
Conclusions:
- Persistent white matter microstructural alterations may underlie treatment resistance in ITLE, despite functional normalization.
- The observed structural-functional dissociation provides quantitative support for distinct pathological mechanisms.
- Machine learning and visualization techniques may aid in identifying and validating future therapeutic targets for ITLE.

