Results 281 to 290 of about 2,171,414 (328)

Don't put words in my mouth: speech perception can falsely activate a brain-computer interface. [PDF]

J Neuroeng Rehabil
Schippers A, Vansteensel MJ, Freudenburg ZV, Luo S, Crone NE, Ramsey NF.   +5 more
europepmc   +1 more source

Serotonergic System‐Targeted Nucleic Acid Hydrogel Coordinates Excitability Restoration and Circuit Reconstruction for Spinal Cord Injury Therapy

Advanced Materials, EarlyView.
The study reports a DNA/RNA heteroduplex hydrogel (SeroPTEN‐CG) that undergoes DNase‐mediated hydrogel‐to‐nanogel transition for spinal cord injury therapy by targeting the serotonergic system, combining 5‐hydroxytryptamine (5‐HT)‐mediated excitability restoration to reactivate dormant interneurons with phosphatase and tensin homolog (PTEN)‐targeted ...
Chunlin Li, Xiaoqing Zhao, Kai Jiang, Haixia Kang, Shuo Liu, Linlin Jiang, Baoshuai Bai, Haonan Cui, Ziyang Zhang, Menglei Dong, Ruizhi Zhang, Chenbo Zou, Shenghui Shang, Chi Zhang, Xiangchuang Fan, Lijuan Zhu, Huiquan Duan, Chuan Zhang, Shiqing Feng, Hengxing Zhou   +19 more
wiley   +1 more source

A Novel Transfer Learning-Based Hybrid EEG-fNIRS Brain-Computer Interface for Intracerebral Hemorrhage Rehabilitation. [PDF]

Adv Sci (Weinh)
Chen D, Shi J, Tao B, Zhao X, Zhao Z, Li S, Xu Y, Ding T, Zhang P, Ye Q, Chen K, Wu Z, Tang Y, Jiang W, Shu K, Huang L, You Z, Zhang P, Tang Z.   +18 more
europepmc   +1 more source

Piezoelectric Stimulation of Neural Cells: Exploring the Synergistic Potential of Hybrid Scaffolds for Enhanced Regeneration

Advanced Materials Interfaces, EarlyView.
Hybrid piezoelectric scaffolds offer a promising route for Central Nervous System regeneration by combining structural and electrical cues to support neural stem cell growth. This review highlights their potential to overcome current challenges in neural tissue engineering by exploring porous hybrid materials, their biological interactions, and ...
Heather F. Titterton, Chris R. Bowen, Hamideh Khanbareh   +2 more
wiley   +1 more source

ML model for fatigue prediction in brain-computer interface applications through SSVEP analysis [PDF]

Yushun Tao
openalex   +1 more source

Reduced Switching Threshold and Photo‐Modulated Dynamics in Self‐Organized Hybrid Ag/pV3D3 Nanoparticle Networks: Toward Photoresponsivity in Neural‐Like Networks

Advanced Materials Interfaces, EarlyView.
Self‐organized silver nanoparticle networks coated with poly(1,3,5‐trivinyl‐1,3,5‐trimethyl‐cyclosiloxane) via initiated chemical vapor deposition exhibit a markedly reduced switching threshold (0.5 V vs 3 V). Time‐series analysis reveals that visible‐light illumination modulates the resistive switching activity, with blue light showing pronounced ...
Blessing Adejube, Lynn Schwäke, Ole Gronenberg, Saskia Rehder, Maik‐Ivo Terasa, Sören Kaps, Thomas Strunskus, Franz Faupel, Lorenz Kienle, Rainer Adelung, Tayebeh Ameri, Stefan Schröder, Alexander Vahl   +12 more
wiley   +1 more source

Advancing Brain-Computer Interface Closed-Loop Systems for Neurorehabilitation: Systematic Review of AI and Machine Learning Innovations in Biomedical Engineering. [PDF]

JMIR Biomed Eng
Williams C, Anik FI, Hasan MM, Rodriguez-Cardenas J, Chowdhury A, Tian S, He S, Sakib N.   +7 more
europepmc   +1 more source

Multiplexed Luminal Tissue Constructs with Reconfigurable Barriers for Dynamic Modeling of Multi‐Tissue Interactions

Advanced Materials Technologies, EarlyView.
This study describes the fabrication of arrays of luminal tissue constructs for 3D luminal tissue modeling. An oil or media‐filled reservoir between constructs serves as a liquid barrier or bridge to regulate communication between lumens within the array for modeling multi‐tissue interactions in vitro. Abstract Cell‐lined luminal structures are crucial
Mouhita Humayun, José A. Jiménez‐Torres, Chao Li, Jose M. Ayuso, Karina Lugo‐Cintron, Joseph Ulbrich, Benjamin Myers, Sheena C. Kerr, Adeel Ahmed, David J. Beebe   +9 more
wiley   +1 more source

Influence of age, cognitive function, attention, and mental state on the effectiveness of EEG-based brain-computer interface device use: a systematic review. [PDF]

J Neuroeng Rehabil
Niu X, Yuan M, Wang D.
europepmc   +1 more source