A team of researchers has developed a soft cortical device that could revolutionize the treatment of epilepsy and other neurological disorders.

The group is led by Professor Son Donghee and Professor Shin Mikyung from the Center for Neuroscience Imaging Research (CNIR) within the Institute for Basic Science (IBS), along with Dr. Kim Hyungmin from the Bionics Research Center at the Korea Institute of Science and Technology (KIST).

Epilepsy, a neurological disorder affecting over 65 million people worldwide, is characterized by pathological electrical hyperactivity in the brain resulting in seizures. Notably, approximately 20%–30% of all patients are diagnosed with intractable epilepsy, which does not respond to standard medications.

Surgical resection of lesions remains a treatment option for these patients, but it presents challenges due to the complexity and risks involved in the procedure.

As a less invasive alternative treatment, the concept of neuromodulation has been proposed, which involves directly stimulating lesioned tissue with mechanical, electromagnetic, or optical energy to suppress brain hyperexcitability.

One promising approach is transcranial focused ultrasound (tFUS) neurostimulation, a non-invasive method that stimulates the brain with high precision without causing permanent damage.

For tFUS to be effective in treating epilepsy, it must be paired with a system that can continuously monitor brain activity and adjust the treatment in real-time. However, existing cortex-interfacing devices face challenges due to their high stiffness and low shape adaptability, which makes it difficult for them to conform to the convoluted surface of the brain, resulting in poor tissue-device interfaces.

Their low adhesion to the brain surface also means they struggle to provide accurate brain signals during ultrasound stimulation, due to the interference caused by the mechanical pressure waves.

To address this challenge, the research team developed the Shape-Morphing Cortical- Adhesive (SMCA) sensor, a soft, flexible device that adheres closely to the brain’s surface, ensuring stable and accurate monitoring of brain activity even during tFUS stimulation. The findings are published in the journal Nature Electronics,

The SMCA sensor is composed of a unique combination of materials. It features a layer of catechol-conjugated alginate hydrogel that quickly bonds with brain tissue, providing strong adhesion and reducing the risk of movement or detachment.

Additionally, the device’s substrate is made of a self-healing polymer that softens and conforms to the brain’s curved surface at body temperature, ensuring a snug fit and minimizing the risk of signal artifacts.

The team tested the SMCA sensor both ex vivo (outside the body) and in vivo (inside the body), comparing its performance to that of existing devices without adhesive or shape-morphing properties. In experiments with a rat model of epilepsy, the SMCA sensor successfully recorded brain activity during tFUS without interference, enabling the real-time monitoring necessary for effective treatment.

Using this innovative sensor, the researchers implemented a closed-loop seizure control system. This system uses the SMCA sensor to detect early signs of a seizure and automatically adjusts the tFUS treatment in response. The system successfully suppressed seizures in real-time, demonstrating the potential for personalized, adaptive epilepsy treatment.

Professor Donghee stated, “Through our study on the brain-adhesive soft bioelectronics platform, we have overcome a major challenge in the field of brain interfaces by achieving high-quality electrocorticography coupled with focused ultrasound stimulation without artifact interference.

“We expect our technology to become a cornerstone of a next-generation biomedical platform that enables precise diagnosis and personalized therapy for intractable neurological disorders.

“Following this study, we will advance the SMCA sensor platform by improving the shape-morphing and cortex-adhesive functionalities, developing highly integrated microelectrodes, and implementing a high-order closed-loop operational algorithm.”

Dr. Kim said, “We achieved early detection of seizure activity via ECoG, enabling the prevention of seizures. Additionally, we implemented real-time feedback on the effects of ultrasound stimulation, which allowed for the application of personalized stimulation protocols.

“Looking ahead, we anticipate that the development of electrodes with more channels, as well as multi-channel ultrasound transducers, will facilitate precise mapping of seizure sources and targeted intervention, ultimately enhancing the efficacy and safety of this approach in clinical applications.”