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Updated: Sep 8, 2025

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
Published on: August 5, 2014
Common network related to hyperkinetic seizures revealed by functional lesion network mapping
Bowen Yang1,2, Chen Yao3, Jinping Xu4
1Department of Neurosurgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Hyperkinetic seizures (HKS) may stem from disruptions in a common brain network connected to the anterior cingulate cortex (ACC). Targeting the ACC shows therapeutic potential for drug-resistant epilepsy and HKS.
Area of Science:
- Neuroscience
- Epileptology
- Functional Neuroimaging
Background:
- Hyperkinetic seizures (HKS) present with diverse anatomical lesion locations.
- Understanding the underlying functional network is crucial for effective treatment.
Purpose of the Study:
- To investigate if heterogeneous lesions causing HKS connect to a common functional brain network.
- To identify specific brain regions and networks associated with HKS.
Main Methods:
- Utilized functional magnetic resonance imaging (fMRI) whole-brain functional connectivity analysis in 1000 healthy participants.
- Mapped functional networks connected to lesion sites in patients with HKS.
- Employed a case-control design for specificity evaluation and assessed therapeutic relevance via deep brain stimulation outcomes.
Main Results:
- The anterior cingulate cortex (ACC) demonstrated high sensitivity and specificity (>90% overlap) for HKS-related lesions.
- A 94% overlap of HKS lesion locations was observed within the reversed connectivity pattern between the ACC and the whole brain.
- Functional connectivity between the ACC and deep brain stimulation targets correlated with seizure control (r=.49, p<.01) in drug-resistant epilepsy patients.
Conclusions:
- HKS may represent a network disorder originating from lesions connected to the ACC.
- The ACC is a potential therapeutic target for interventions aimed at controlling HKS.
- Findings highlight the importance of functional network analysis in understanding and treating epilepsy syndromes.
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