Shape-changing electrode array for minimally invasive large-scale intracranial brain activity mapping
文献类型:期刊论文
作者 | Wei, Shiyuan1,2; Jiang, Anqi1; Sun, Hongji1; Zhu, Jingjun1,3; Jia, Shengyi1; Liu, Xiaojun1; Xu, Zheng1; Zhang, Jing1,2; Shang, Yuanyuan4; Fu, Xuefeng1 |
刊名 | NATURE COMMUNICATIONS |
出版日期 | 2024-01-24 |
卷号 | 15期号:1页码:16 |
DOI | 10.1038/s41467-024-44805-2 |
通讯作者 | Duan, Xiaojie(xjduan@pku.edu.cn) |
英文摘要 | Large-scale brain activity mapping is important for understanding the neural basis of behaviour. Electrocorticograms (ECoGs) have high spatiotemporal resolution, bandwidth, and signal quality. However, the invasiveness and surgical risks of electrode array implantation limit its application scope. We developed an ultrathin, flexible shape-changing electrode array (SCEA) for large-scale ECoG mapping with minimal invasiveness. SCEAs were inserted into cortical surfaces in compressed states through small openings in the skull or dura and fully expanded to cover large cortical areas. MRI and histological studies on rats proved the minimal invasiveness of the implantation process and the high chronic biocompatibility of the SCEAs. High-quality micro-ECoG activities mapped with SCEAs from male rodent brains during seizures and canine brains during the emergence period revealed the spatiotemporal organization of different brain states with resolution and bandwidth that cannot be achieved using existing noninvasive techniques. The biocompatibility and ability to map large-scale physiological and pathological cortical activities with high spatiotemporal resolution, bandwidth, and signal quality in a minimally invasive manner offer SCEAs as a superior tool for applications ranging from fundamental brain research to brain-machine interfaces. The invasiveness of extensive craniotomy hinders large-scale cortex mapping. Here, the authors developed a flexible, shape-changing electrode array which enables minimally invasive implantation and achieves high spatiotemporal resolution brain mapping. |
WOS关键词 | HIGH-FREQUENCY OSCILLATIONS ; ECOG ; CONNECTIVITY ; ENHANCEMENT ; EEG |
资助项目 | National Natural Science Foundation of China (National Science Foundation of China)[T2188101] ; National Natural Science Foundation of China (National Science Foundation of China)[21972005] ; National Natural Science Foundation of China[2021YFF1200700] ; National Key R&D Program of China[2021ZD0202204] ; National Key R&D Program of China[2021ZD0202200] ; STI2030-Major Projects[JQ20008] ; Natural Science Foundation of Beijing Municipality |
WOS研究方向 | Science & Technology - Other Topics |
语种 | 英语 |
出版者 | NATURE PORTFOLIO |
WOS记录号 | WOS:001150728500012 |
资助机构 | National Natural Science Foundation of China (National Science Foundation of China) ; National Natural Science Foundation of China ; National Key R&D Program of China ; STI2030-Major Projects ; Natural Science Foundation of Beijing Municipality |
源URL | [http://ir.ia.ac.cn/handle/173211/55352] |
专题 | 中国科学院自动化研究所 |
通讯作者 | Duan, Xiaojie |
作者单位 | 1.Peking Univ, Coll Future Technol, Dept Biomed Engn, Beijing 100871, Peoples R China 2.Peking Univ, Acad Adv Interdisciplinary Studies, Beijing 100871, Peoples R China 3.Peking Univ, Natl Biomed Imaging Ctr, Beijing 100871, Peoples R China 4.Zhengzhou Univ, Sch Phys & Microelect, Key Lab Mat Phys, Minist Educ, Zhengzhou 450052, Peoples R China 5.Peking Univ, Sch Mat Sci & Engn, Beijing, Peoples R China 6.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Wei, Shiyuan,Jiang, Anqi,Sun, Hongji,et al. Shape-changing electrode array for minimally invasive large-scale intracranial brain activity mapping[J]. NATURE COMMUNICATIONS,2024,15(1):16. |
APA | Wei, Shiyuan.,Jiang, Anqi.,Sun, Hongji.,Zhu, Jingjun.,Jia, Shengyi.,...&Duan, Xiaojie.(2024).Shape-changing electrode array for minimally invasive large-scale intracranial brain activity mapping.NATURE COMMUNICATIONS,15(1),16. |
MLA | Wei, Shiyuan,et al."Shape-changing electrode array for minimally invasive large-scale intracranial brain activity mapping".NATURE COMMUNICATIONS 15.1(2024):16. |
入库方式: OAI收割
来源:自动化研究所
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