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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
Published on: August 5, 2014
Quantitative analysis of structural neuroimaging of mesial temporal lobe epilepsy
Negar Memarian1, Paul M Thompson, Jerome Engel
1Department of Neurology, Reed, Neurological Research Center, Suite, 2155, University of California, 710 Westwood Plaza, Los Angeles, CA 90095, USA.
Abstract:
Mesial temporal lobe epilepsy (MTLE) is the most common of the surgically remediable drug-resistant epilepsies. MRI is the primary diagnostic tool to detect anatomical abnormalities and, when combined with EEG, can more accurately identify an epileptogenic lesion, which is often hippocampal sclerosis in cases of MTLE. As structural imaging technology has advanced the surgical treatment of MTLE and other lesional epilepsies, so too have the analysis techniques that are used to measure different structural attributes of the brain. These techniques, which are reviewed here and have been used chiefly in basic research of epilepsy and in studies of MTLE, have identified different types and the extent of anatomical abnormalities that can extend beyond the affected hippocampus. These results suggest that structural imaging and sophisticated imaging analysis could provide important information to identify networks capable of generating spontaneous seizures and ultimately help guide surgical therapy that improves postsurgical seizure-freedom outcomes.
Insights
Mesial temporal lobe epilepsy (MTLE) is a common epilepsy treatable with surgery. Advanced MRI analysis reveals abnormalities beyond the hippocampus, aiding in identifying seizure networks and improving surgical outcomes for drug-resistant epilepsy.
Area of Science:
- Neurology
- Radiology
- Epileptology
Background:
- Mesial temporal lobe epilepsy (MTLE) is the most prevalent surgically remediable drug-resistant epilepsy.
- Magnetic Resonance Imaging (MRI) is crucial for detecting anatomical abnormalities and identifying epileptogenic lesions, frequently hippocampal sclerosis in MTLE.
- Advancements in structural imaging and analysis techniques are enhancing the understanding and surgical treatment of MTLE.
Purpose of the Study:
- To review advanced MRI analysis techniques for measuring brain structural attributes in epilepsy.
- To highlight how these techniques identify anatomical abnormalities beyond the hippocampus in MTLE.
- To discuss the potential of structural imaging and analysis in guiding surgical therapy for improved seizure-freedom outcomes.
Main Methods:
- Review of advanced structural imaging analysis techniques used in epilepsy research, particularly for MTLE.
- Analysis of studies employing these techniques to identify brain abnormalities.
- Correlation of imaging findings with epileptogenic networks and surgical outcomes.
Main Results:
- Advanced MRI analysis techniques have identified diverse anatomical abnormalities in MTLE, often extending beyond the hippocampus.
- These abnormalities suggest a broader network involvement in seizure generation.
- Sophisticated imaging analysis provides insights into the extent of structural changes associated with MTLE.
Conclusions:
- Structural imaging and advanced analysis are vital for understanding the full extent of brain abnormalities in MTLE.
- Identifying seizure networks through imaging can significantly improve surgical planning.
- These approaches hold promise for enhancing postsurgical seizure control in patients with drug-resistant epilepsy.
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