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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
Published on: August 5, 2014
SCN1A rs3812718 polymorphism modulates structural and functional brain networks in TLE: A multimodal imaging-genomics
Yiren Chen1, Liyuan Fu1, Xiaoyang Wang1
1Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, Fujian 350025, China; Department of Radiology, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, Fujian 350025, China.
The SCN1A rs3812718 AA/AG genotype is a risk factor for temporal lobe epilepsy (TLE), associated with gray matter volume reductions and altered brain networks. These findings may aid in TLE precision medicine.
Area of Science:
- Neuroscience
- Genetics
- Medical Imaging
Background:
- Temporal lobe epilepsy (TLE) is a common neurological disorder with complex genetic and structural underpinnings.
- The SCN1A gene plays a crucial role in neuronal excitability and has been implicated in various epilepsy syndromes.
Purpose of the Study:
- To investigate the impact of the SCN1A rs3812718 polymorphism on gray matter volume (GMV) and resting-state functional network topology in TLE patients.
- To identify potential genetic-neuroimaging biomarkers for TLE.
Main Methods:
- Genotyping and MRI (3D-T1, rs-fMRI) were performed on 60 TLE patients and 28 healthy controls (HCs).
- Voxel-based morphometry assessed GMV, and graph theory analyzed functional network topology.
- 2x2 ANCOVA was used to test for main effects of genotype, disease status, and their interaction.
Main Results:
- The AA/AG genotype was more frequent in TLE patients compared to HCs.
- A significant genotype main effect revealed reduced GMV in temporal regions and hippocampus for AA/AG carriers.
- A significant genotype-by-disease interaction showed the most extensive GMV reductions in TLE patients with the AA/AG genotype, particularly in the inferior temporal gyrus, fusiform gyri, and hippocampus.
Conclusions:
- The SCN1A rs3812718 AA/AG genotype is a TLE risk factor.
- This genotype is associated with structural brain alterations (GMV) and functional network changes in TLE.
- These genetic-neuroimaging signatures hold promise as biomarkers for TLE precision medicine.
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