中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
DOI10.1038/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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