Abnormal brain functional network dynamics in sleep-related hypermotor epilepsy

Area of Science:

• Neuroimaging
• Epilepsy Research
• Brain Connectivity

Background:

• Sleep-related hypermotor epilepsy (SHE) is a neurological disorder characterized by seizures during sleep.
• Understanding the underlying brain network alterations in SHE is crucial for developing targeted therapies.

Purpose of the Study:

• To investigate the temporal dynamics of functional connectivity states using resting-state functional magnetic resonance imaging (rs-fMRI) in patients with SHE.
• To identify changes in connectivity strength within and between brain networks in SHE.

Main Methods:

• rs-fMRI data were acquired from SHE patients and analyzed using a sliding-window approach to create dynamic functional connectivity (dFC) networks.
• K-means clustering identified distinct dFC states, and network-based statistics (NBS) assessed connectivity strength.
• Correlations between dFC properties and disease duration were examined.

Main Results:

• SHE patients exhibited two primary dFC states, with altered temporal properties including increased time spent in a state characterized by inter-network connectivity.
• Patients with SHE showed a higher number of state transitions and increased connectivity strength between brain networks.
• No significant correlation was found between altered dFC measures and epilepsy duration.

Conclusions:

• The observed dynamic functional connectivity patterns in SHE may reflect the brain's adaptive response to manage epileptic seizures.
• These findings highlight the potential of dFC analysis as a biomarker for understanding SHE pathophysiology.