Phantom Brain model Replicating Multiple ECoG Signals for Preclinical Device Testing

Area of Science:

• Neuroscience
• Biomedical Engineering
• Materials Science

Background:

• Phantom brain models are vital for developing medical devices like electrocorticography (ECoG) electrodes for brain disorders and brain-computer interfaces (BCI).
• Conventional models suffer from low spatial resolution and signal interference due to bulky electrodes, hindering accurate evaluation of high-density ECoG electrodes.
• Limitations include aliasing between electrodes and signal interference, compromising the assessment of advanced ECoG technologies.

Purpose of the Study:

• To develop an advanced phantom brain model that overcomes the limitations of conventional models.
• To create a model capable of mimicking multiple ECoG signals from the cerebral cortex simultaneously.
• To provide a reliable platform for testing the performance of ECoG electrodes.

Main Methods:

• Designed a phantom brain model featuring graphene electrodes for small-scale ECoG mimicry.
• Incorporated a perforated structure filled with Sodium chloride (NaCl) gel, chosen for electrical properties similar to the cerebral cortex.
• Utilized multiple electrode arrays to prevent signal interference and ensure accurate signal replication.

Main Results:

• The model successfully mimicked various epileptic seizure signals originating from distinct cerebral cortex regions.
• Monitoring of seizure-induced ECoG signals was confirmed using multiple ECoG electrodes.
• The phantom brain demonstrated excellent mimicry performance for ECoG signals.

Conclusions:

• The developed phantom brain model accurately mimics ECoG signals, proving effective for testing ECoG electrode performance.
• This innovative approach offers a viable alternative to animal testing for preclinical evaluation of ECoG devices.
• The model holds significant potential for assessing various ECoG electrodes through precise signal mimicry.