수업
[뇌과학전공 뇌과학세미나 초청강연 소식] 4월 18일 UNIST 바이오메디컬공학과 최영빈 교수
2024-04-15
- 제목 : Neural Interface Technologies for High Resolution Intraoperative Brain Functional Mapping
- 연사 : 최영빈 교수님 (UNIST 바이오메디컬공학과)
- 초청자 : 이규철 교수님 (서울대학교 물리천문학부)
- 일시 : 2024년 4월 18일 (목) 오전 11시
- 장소: 서울대학교 관악캠퍼스 자연과학대학 500동 1층 목암홀
- 링크: https://snu-ac-kr.zoom.us/j/98101462866?pwd=SEpjZTdYVXBxZURPNVdIUTJLWW4wQT09
회의 ID: 981 0146 2866 암호: 354531
- Abstract :
Electrophysiological devices are critical for mapping both healthy and pathological areas of the brain, and for facilitating therapeutic neuromodulation in medical practices. Additionally, they are extensively used in brain-machine interfaces, highlighting their critical role in both healthcare and research. However, current devices frequently fall short in terms of spatial resolution or the extent of cortical coverage they can provide. To address these limitations, we engineered the PtNRGrid, an advanced micro-ECoG grid, through the application of sophisticated nanofabrication methods and enhanced connectorization strategy. This thin-film neurophysiological recording electrode features thousands of channels and has been successfully applied to human brains in intraoperative settings. This micro-ECoG grid, enhanced by low impedance platinum-nanorods, offers excellent electrocorticography recording with unprecedented spatial resolution and cortical coverage.
Furthermore, to provide automated and real-time feedback directly from the cortical surface for efficacious and high-precision neurosurgery, we integrated a flexible micro-LED display with the micro-ECoG grid. This system not only captures intricate brain dynamics with high precision but also visualizes functional brain boundaries and epileptic discharges on the cortical surface. This integration of micro-ECoG grid with micro-LED array represents a substantial advancement in neurotechnology, empowering surgeons to conduct surgeries with high precision and efficiency, guided by high-resolution functional mapping of brain and real-time cortical feedback.
Furthermore, to provide automated and real-time feedback directly from the cortical surface for efficacious and high-precision neurosurgery, we integrated a flexible micro-LED display with the micro-ECoG grid. This system not only captures intricate brain dynamics with high precision but also visualizes functional brain boundaries and epileptic discharges on the cortical surface. This integration of micro-ECoG grid with micro-LED array represents a substantial advancement in neurotechnology, empowering surgeons to conduct surgeries with high precision and efficiency, guided by high-resolution functional mapping of brain and real-time cortical feedback.
첨부: 뇌과학세미나 포스터(2024-1)



