Brain-computer interfaces (BCIs) provide direct access to the brain, serving crucial roles in treating neurological disorders and developing neural prostheses. Recent clinical successes include diagnosing and treating epilepsy and advancing prosthesis for visual and limb impairments. Achieving high spatial and temporal resolution is essential for accurately localizing seizures, mapping brain functions, and controlling neuronal activity. However, existing solutions have substantial form factors, necessitating large-size craniotomy, permanent removal of a part of the skull, or wires running through the body, which limits real-world applicability and complicates post-surgery recovery.
We present a minimally invasive, high-bandwidth, and fully wireless brain-machine interface platform that addresses these challenges through a combination of an implantable application-specific integrated circuit (ASIC) chip and a wearable relay station. The platform supports an aggregate sampling rate of 8.68 MSPS at 10-bit resolution and a 108.48/54.24 Mbps data rate using impulse radio ultra-wideband (IR-UWB). A high-density microelectrode array (HD-MEA) with configurable electrode options is integrated into the ASIC implant, enabling simultaneous readout of 1024/256 channels at 8.48/33.9 KSPS. By reducing the ASIC implant to a thickness of 25 µm, the total volume of the implant is only 3.6 mm³, making it thinner than a strand of human hair and occupying less than a third of the volume of a grain of rice. We conducted in-vivo experiments in the cortices of pigs and monkeys and successfully achieved ultra-high resolution receptive field mapping. This work sets a new standard for volumetric efficiency in implantable brain-computer interfaces.
| Identifer | oai:union.ndltd.org:columbia.edu/oai:academiccommons.columbia.edu:10.7916/naj2-9r47 |
| Date | January 2024 |
| Creators | Zeng, Nanyu |
| Source Sets | Columbia University |
| Language | English |
| Detected Language | English |
| Type | Theses |
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