• Chronically Stable, High-Resol...

Treffer: Chronically Stable, High-Resolution Micro-Electrocorticographic Brain-Computer Interfaces for Real-Time Motor Decoding.

Title:
Chronically Stable, High-Resolution Micro-Electrocorticographic Brain-Computer Interfaces for Real-Time Motor Decoding.
Authors:
Zhou E; 2020 X-Lab, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.; School of Graduate Study, University of Chinese Academy of Sciences, Beijing, 100049, China., Wang X; 2020 X-Lab, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.; School of Graduate Study, University of Chinese Academy of Sciences, Beijing, 100049, China., Liang J; 2020 X-Lab, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.; School of Graduate Study, University of Chinese Academy of Sciences, Beijing, 100049, China., Liu Y; Neuroxess Co., Ltd., Shanghai, 200023, China., Yang Q; Neuroxess Co., Ltd., Shanghai, 200023, China., Ran X; Neuroxess Co., Ltd., Shanghai, 200023, China., Xia L; Neuroxess Co., Ltd., Shanghai, 200023, China., Zou X; Department of Neurosurgery, Huashan Hospital of Fudan University, Shanghai, 200040, China., Liu C; 2020 X-Lab, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China., Sun L; 2020 X-Lab, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.; School of Integrated Circuits, University of Chinese Academy of Sciences, Beijing, 100049, China., Peng L; Neuroxess Co., Ltd., Shanghai, 200023, China., Chen L; Department of Neurosurgery, Huashan Hospital of Fudan University, Shanghai, 200040, China., Mao Y; Department of Neurosurgery, Huashan Hospital of Fudan University, Shanghai, 200040, China., Wu Z; Department of Neurosurgery, Huashan Hospital of Fudan University, Shanghai, 200040, China., Tao TH; Neuroxess Co., Ltd., Shanghai, 200023, China.; Guangdong Institute of Intelligence Science and Technology, Zhuhai, Guangdong, 519031, China.; Tianqiao and Chrissy Chen Institute for Translational Research, Shanghai, China., Zhou Z; School of Graduate Study, University of Chinese Academy of Sciences, Beijing, 100049, China.; School of Integrated Circuits, University of Chinese Academy of Sciences, Beijing, 100049, China.; State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
Source:
Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2025 Dec; Vol. 12 (45), pp. e06663. Date of Electronic Publication: 2025 Sep 06.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: WILEY-VCH Country of Publication: Germany NLM ID: 101664569 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2198-3844 (Electronic) Linking ISSN: 21983844 NLM ISO Abbreviation: Adv Sci (Weinh) Subsets: MEDLINE
Imprint Name(s):
Original Publication: Weinheim : WILEY-VCH, [2014]-
MeSH Terms:
Brain-Computer Interfaces* , Electrocorticography*/methods , Electrocorticography*/instrumentation , Brain*/physiology, Humans ; Male ; Electrodes, Implanted ; Electroencephalography/methods ; Adult
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Grant Information:
Y2023070 Youth Innovation Promotion Association for Excellent Members; 22QA1410900 Shanghai Rising-Star Program; ZDBS-LY-JSC024 Key Research Program of Frontier Sciences, CAS; JCYJ-SHFY-2022-01 Shanghai Pilot Program for Basic Research-Chinese Academy of Science; 82272116 National Natural Science Foundation of China; 2021SHZDZX Science and Technology Commission of Shanghai Municipality; 2018AAA0103100 National Major Science and Technology Projects of China
Contributed Indexing:
Keywords: brain‐computer interfaces; flexible conformal micro‐electro‐mechanical systems; high‐resolution micro‐electrocorticography, real‐time motor decoding
Entry Date(s):
Date Created: 20250906 Date Completed: 20251204 Latest Revision: 20251206
Update Code:
20251206
PubMed Central ID:
PMC12677598
DOI:
10.1002/advs.202506663
PMID:
40913530
Database:
MEDLINE

Weitere Informationen

Brain-computer interfaces (BCIs) enable communication between individuals and computers or other assistive devices by decoding brain activity, thereby reconstructing speech and motor functions for patients with neurological disorders. This study presents a high-resolution micro-electrocorticography (µECoG) BCI based on a flexible, high-density µECoG electrode array, capable of chronically stable and real-time motor decoding. Leveraging micro-nano manufacturing technology, the µECoG BCI achieves a 64-fold increase in electrode density compared to conventional clinical electrode arrays, enhancing spatial resolution while featuring scalability. Over a 203-day in vivo experiment, high-resolution µECoG carrying fine spatial specificity information demonstrated the potential to improve decoding performance while reduce implanted devices size. These advancements provide a pathway to overcome the limitations of conventional ECoG BCIs. During awake surgery, the µECoG BCI enabled game control after 7 min of model training. Furthermore, during practice of 19.87 h, the participant achieved cursor control with a bit rate of 1.13 bits per second (BPS) under full volitional control, and the bit rate reached up to 4.15 BPS with enhanced user interface. These results show that the µECoG BCI achieves comparable performance to intracortical electroencephalographic (iEEG) BCIs without intracortical invasiveness, marking a breakthrough in the clinical feasibility of flexible BCIs.
(© 2025 The Author(s). Advanced Science published by Wiley‐VCH GmbH.)