This new calculation method could fight epilepsy and here’s how!

Epilepsy is a serious neurological disorder that affects more than 50% of patients from childhood. That’s what a recent study found Affection would mainly affect the cerebral network. Discovery of an effective treatment would prevent serious long-term effects on the brain. Building epileptic networks would therefore be essential to combat the disease.

This is why researchers at the Suzhou Institute of Biomedical Engineering and Technology (SIBET) of the Chinese Academy of Sciences recently suggested a method for calculating the dynamic Resting State Functional Network (DFN) for the whole brain.

This method was based on low-density electroencephalogram (EEG) recordings in the scalp. It would make it possible to better construct the cerebral networks of epilepsy.

Electroencephalogram (EEG) limit

Children are usually affected by benign centrotemporal spike epilepsy (BECTS). Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) source imaging (ESI) studies have shown that this type of epilepsy is associated with this type of epilepsy static impairments of the functional network (SFN) at rest in source space.

The EEG is a non-invasive, portable, inexpensive, and child-friendly technique. In addition, with IMRf, they are currently the most commonly used to build epileptic networks. SFN calculations performed in the scalp using routine low-density EEG recordings, do not show the same previous changes.

LIU Yan and his colleagues from SIBET’s DAI Yakang group then proposed the DFN calculation method. This method is based on the concept of EEG microstates.

“This method makes it possible to better analyze the dynamic properties of the functional states of the entire brain and, on the other hand, to display topologies of the functional sub-networks in each microstate. »


A method with promising results

DFN showed significant differences between subjects with BECTS and healthy subjects. It outperforms traditional SFNs and balances traditional fMRI and ESI methods in the source space. She might even be used for other brain disorders.

This new method avoids complex ESI operations. DFN calculations are performed directly from routine low-density EEG recordings. It could have clinical applications, especially during outpatient diagnosis.


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