The brain nebula: minimally invasive brain-computer interface by endovascular neural recording and stimulation

被引:1
|
作者
He, Qiheng [1 ,2 ]
Yang, Yi [1 ,2 ,3 ,4 ,5 ,6 ,7 ]
Ge, Peicong [1 ]
Li, Sining [8 ]
Chai, Xiaoke [2 ]
Luo, Zhongqiu [9 ]
Zhao, Jizong [1 ,3 ,4 ]
机构
[1] Beijing Tiantan Hosp, Capital Med Univ, Dept Neurosurgery, Beijing, Peoples R China
[2] Beijing Tiantan Hosp, Capital Med Univ, Brain Comp Interface Transit Res Ctr, Beijing, Peoples R China
[3] China Natl Ctr Neurol Disorders, Beijing, Peoples R China
[4] China Natl Clin Res Ctr Neurol Dis, Beijing, Peoples R China
[5] Natl Res Ctr Rehabil Tech Aids, Beijing, Peoples R China
[6] Chinese Inst Brain Res, Beijing, Peoples R China
[7] Beijing Inst Brain Disorders, Beijing, Peoples R China
[8] Nankai Univ, Tianjin Key Lab Brain Sci & Intelligent Rehabil, Coll Artificial Intelligence, Tianjin, Peoples R China
[9] Shenzhen Qianhai Shekou Free Trade Zone Hosp, Dept Neurosurgery, Shenzhen, Peoples R China
基金
北京市自然科学基金;
关键词
Brain; Device; EEG; Technique; Technology; CAVERNOUS SINUS EEG; ELECTRODE ARRAY; ELECTROENCEPHALOGRAPHY;
D O I
10.1136/jnis-2023-021296
中图分类号
R445 [影像诊断学];
学科分类号
100207 ;
摘要
A brain-computer interface (BCI) serves as a direct communication channel between brain activity and external devices, typically a computer or robotic limb. Advances in technology have led to the increasing use of intracranial electrical recording or stimulation in the treatment of conditions such as epilepsy, depression, and movement disorders. This indicates that BCIs can offer clinical neurological rehabilitation for patients with disabilities and functional impairments. They also provide a means to restore consciousness and functionality for patients with sequelae from major brain diseases. Whether invasive or non-invasive, the collected cortical or deep signals can be decoded and translated for communication. This review aims to provide an overview of the advantages of endovascular BCIs compared with conventional BCIs, along with insights into the specific anatomical regions under study. Given the rapid progress, we also provide updates on ongoing clinical trials and the prospects for current research involving endovascular electrodes.
引用
收藏
页码:1237 / 1243
页数:7
相关论文
共 50 条
  • [31] State-of-the-art non-invasive brain-computer interface for neural rehabilitation: A review
    Zhuang, Miaomiao
    Wu, Qingheng
    Wan, Feng
    Hu, Yong
    JOURNAL OF NEURORESTORATOLOGY, 2020, 8 (01): : 12 - 25
  • [32] A flexible neural implant with ultrathin substrate for low-invasive brain-computer interface applications
    Guo, Zhejun
    Wang, Fang
    Wang, Longchun
    Tu, Kejun
    Jiang, Chunpeng
    Xi, Ye
    Hong, Wen
    Xu, Qingda
    Wang, Xiaolin
    Yang, Bin
    Sun, Bomin
    Lin, Zude
    Liu, Jingquan
    MICROSYSTEMS & NANOENGINEERING, 2022, 8 (01)
  • [33] Appling of Neural Networks to Classification of Brain-Computer Interface Data
    Plechawska-Wojcik, Malgorzata
    Wolszczak, Piotr
    BEYOND DATABASES, ARCHITECTURES AND STRUCTURES, BDAS 2016, 2016, 613 : 485 - 496
  • [34] Review: Human Intracortical Recording and Neural Decoding for Brain-Computer Interfaces
    Brandman, David M.
    Cash, Sydney S.
    Hochberg, Leigh R.
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2017, 25 (10) : 1687 - 1696
  • [35] ON THE USE OF NON-INVASIVE BRAIN-COMPUTER INTERFACE TECHNOLOGY IN NEUROREHABILITATION
    Scherer, R.
    Solis-Escalante, T.
    Faller, J.
    Wagner, J.
    Seeber, M.
    Mueler-Putz, G.
    BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK, 2013, 58
  • [36] Micropatterned non-invasive dry electrodes for brain-computer interface
    Gramatica, F.
    Carabalona, R.
    Casella, A.
    Cepek, C.
    Di Fabrizio, E.
    Di Rienzo, M.
    Gavioli, L.
    Matteucci, M.
    Rizzo, F.
    Sancrotti, M.
    2006 3RD IEEE/EMBS INTERNATIONAL SUMMER SCHOOL ON MEDICAL DEVICES AND BIOSENSORS, 2006, : 69 - +
  • [37] A review of research on non-invasive brain-computer interface technology
    Liu, Bo
    Gao, Hongwei
    Jiang, Yueqiu
    Wu, Jiaxuan
    PROCEEDINGS OF 2023 4TH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE FOR MEDICINE SCIENCE, ISAIMS 2023, 2023, : 887 - 891
  • [38] Editorial: Exploration of the non-invasive brain-computer interface and neurorehabilitation
    Chen, Shugeng
    Yao, Lin
    Cao, Lei
    Caimmi, Marco
    Jia, Jie
    FRONTIERS IN NEUROSCIENCE, 2024, 18
  • [39] ON THE USE OF NON-INVASIVE BRAIN-COMPUTER INTERFACE TECHNOLOGY IN NEUROREHABILITATION
    Scherer, R.
    Solis-Escalante, T.
    Faller, J.
    Wagner, J.
    Seeber, M.
    Mueller-Putz, G.
    BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK, 2013, 58
  • [40] Optimal artifact suppression in simultaneous electrocorticography stimulation and recording for bi-directional brain-computer interface applications
    Pu, Haoran
    Lim, Jeffrey
    Kellis, Spencer
    Liu, Charles Y.
    Andersen, Richard A.
    Do, An H.
    Heydari, Payam
    Nenadic, Zoran
    JOURNAL OF NEURAL ENGINEERING, 2020, 17 (02)