Shape-changing electrode array for minimally invasive large-scale intracranial brain activity mapping
Abstract 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...
| Main Authors: | , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-01-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-024-44805-2 |
| _version_ | 1797276397192871936 |
|---|---|
| author | Shiyuan Wei Anqi Jiang Hongji Sun Jingjun Zhu Shengyi Jia Xiaojun Liu Zheng Xu Jing Zhang Yuanyuan Shang Xuefeng Fu Gen Li Puxin Wang Zhiyuan Xia Tianzi Jiang Anyuan Cao Xiaojie Duan |
| author_facet | Shiyuan Wei Anqi Jiang Hongji Sun Jingjun Zhu Shengyi Jia Xiaojun Liu Zheng Xu Jing Zhang Yuanyuan Shang Xuefeng Fu Gen Li Puxin Wang Zhiyuan Xia Tianzi Jiang Anyuan Cao Xiaojie Duan |
| author_sort | Shiyuan Wei |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-07T15:27:43Z |
| format | Article |
| id | doaj.art-5c16700adc274b8bb207b92f8f089a23 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-03-07T15:27:43Z |
| publishDate | 2024-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-5c16700adc274b8bb207b92f8f089a232024-03-05T16:36:04ZengNature PortfolioNature Communications2041-17232024-01-0115111610.1038/s41467-024-44805-2Shape-changing electrode array for minimally invasive large-scale intracranial brain activity mappingShiyuan Wei0Anqi Jiang1Hongji Sun2Jingjun Zhu3Shengyi Jia4Xiaojun Liu5Zheng Xu6Jing Zhang7Yuanyuan Shang8Xuefeng Fu9Gen Li10Puxin Wang11Zhiyuan Xia12Tianzi Jiang13Anyuan Cao14Xiaojie Duan15Department of Biomedical Engineering, College of Future Technology, Peking UniversityDepartment of Biomedical Engineering, College of Future Technology, Peking UniversityDepartment of Biomedical Engineering, College of Future Technology, Peking UniversityDepartment of Biomedical Engineering, College of Future Technology, Peking UniversityDepartment of Biomedical Engineering, College of Future Technology, Peking UniversityDepartment of Biomedical Engineering, College of Future Technology, Peking UniversityDepartment of Biomedical Engineering, College of Future Technology, Peking UniversityDepartment of Biomedical Engineering, College of Future Technology, Peking UniversityKey Laboratory of Material Physics, Ministry of Education, School of Physics and Microelectronics, Zhengzhou UniversityDepartment of Biomedical Engineering, College of Future Technology, Peking UniversityDepartment of Biomedical Engineering, College of Future Technology, Peking UniversityDepartment of Biomedical Engineering, College of Future Technology, Peking UniversitySchool of Materials Science and Engineering, Peking UniversityBrainnetome Centre, Institute of Automation, Chinese Academy of Sciences (CAS)School of Materials Science and Engineering, Peking UniversityDepartment of Biomedical Engineering, College of Future Technology, Peking UniversityAbstract 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.https://doi.org/10.1038/s41467-024-44805-2 |
| spellingShingle | Shiyuan Wei Anqi Jiang Hongji Sun Jingjun Zhu Shengyi Jia Xiaojun Liu Zheng Xu Jing Zhang Yuanyuan Shang Xuefeng Fu Gen Li Puxin Wang Zhiyuan Xia Tianzi Jiang Anyuan Cao Xiaojie Duan Shape-changing electrode array for minimally invasive large-scale intracranial brain activity mapping Nature Communications |
| title | Shape-changing electrode array for minimally invasive large-scale intracranial brain activity mapping |
| title_full | Shape-changing electrode array for minimally invasive large-scale intracranial brain activity mapping |
| title_fullStr | Shape-changing electrode array for minimally invasive large-scale intracranial brain activity mapping |
| title_full_unstemmed | Shape-changing electrode array for minimally invasive large-scale intracranial brain activity mapping |
| title_short | Shape-changing electrode array for minimally invasive large-scale intracranial brain activity mapping |
| title_sort | shape changing electrode array for minimally invasive large scale intracranial brain activity mapping |
| url | https://doi.org/10.1038/s41467-024-44805-2 |
| work_keys_str_mv | AT shiyuanwei shapechangingelectrodearrayforminimallyinvasivelargescaleintracranialbrainactivitymapping AT anqijiang shapechangingelectrodearrayforminimallyinvasivelargescaleintracranialbrainactivitymapping AT hongjisun shapechangingelectrodearrayforminimallyinvasivelargescaleintracranialbrainactivitymapping AT jingjunzhu shapechangingelectrodearrayforminimallyinvasivelargescaleintracranialbrainactivitymapping AT shengyijia shapechangingelectrodearrayforminimallyinvasivelargescaleintracranialbrainactivitymapping AT xiaojunliu shapechangingelectrodearrayforminimallyinvasivelargescaleintracranialbrainactivitymapping AT zhengxu shapechangingelectrodearrayforminimallyinvasivelargescaleintracranialbrainactivitymapping AT jingzhang shapechangingelectrodearrayforminimallyinvasivelargescaleintracranialbrainactivitymapping AT yuanyuanshang shapechangingelectrodearrayforminimallyinvasivelargescaleintracranialbrainactivitymapping AT xuefengfu shapechangingelectrodearrayforminimallyinvasivelargescaleintracranialbrainactivitymapping AT genli shapechangingelectrodearrayforminimallyinvasivelargescaleintracranialbrainactivitymapping AT puxinwang shapechangingelectrodearrayforminimallyinvasivelargescaleintracranialbrainactivitymapping AT zhiyuanxia shapechangingelectrodearrayforminimallyinvasivelargescaleintracranialbrainactivitymapping AT tianzijiang shapechangingelectrodearrayforminimallyinvasivelargescaleintracranialbrainactivitymapping AT anyuancao shapechangingelectrodearrayforminimallyinvasivelargescaleintracranialbrainactivitymapping AT xiaojieduan shapechangingelectrodearrayforminimallyinvasivelargescaleintracranialbrainactivitymapping |