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Subdural Soft Electrocorticography ECoG Array Implantation and Long-Term Cortical Recording in Minipigs
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Wireless, miniaturized, semi-implantable electrocorticography microsystem validated in vivo
Keivan Keramatzadeh1, Ali Kiakojouri1, Mohammad Sadegh Nahvi1
1Research Labarotory for Integrated Circuits and Systems (ICAS), Faculty of EE, K.N. Toosi University of Technology, Tehran, Iran.
Scientific Reports
|December 5, 2020
Summary
This study developed a wireless micro-electrocorticography (µECoG) system for brain activity recording. The compact, implantable device successfully captured neural signals in animal models.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Implantable Medical Devices
Background:
- Electrocorticography (ECoG) is crucial for brain research and clinical applications.
- Existing ECoG systems often face limitations in wireless capability and miniaturization.
- There is a need for advanced, compact wireless systems for high-density neural recordings.
Purpose of the Study:
- To design, develop, and test a novel multi-channel wireless micro-electrocorticography (µECoG) system.
- To create an ultra-compact, semi-implantable recording unit for in vivo neural activity monitoring.
- To validate the system's performance in capturing spontaneous and evoked brain activities.
Main Methods:
- Developed a system with a semi-implantable recording unit and an external unit connected via a 2.4 GHz RF telemetry link.
- Utilized a 3D-printed package for the recording unit, integrating off-the-shelf components and lithium-ion batteries.
- Designed and tested both rigid and flexible microelectrode arrays (4x2 and 12x6) for neural signal acquisition.
- Validated the system's functionality through in vivo testing on anesthetized rats.
Main Results:
- Successfully designed and assembled a compact, multi-channel wireless µECoG system.
- Demonstrated a data transfer rate of 2 Mbps using the RF telemetry link.
- The system effectively recorded both spontaneous and evoked brain activities in animal models.
- Validated the performance of both rigid and flexible microelectrode array configurations.
Conclusions:
- The developed wireless µECoG system offers a promising solution for advanced neural recording.
- The system's compact design and wireless capabilities facilitate less invasive brain activity monitoring.
- This technology has potential applications in neuroscience research and the development of brain-computer interfaces.

