21 papers · ranked by Valyu relevance
Chen, Yankai, Zhang, Xinni + 14 more
Brain-Computer Interfaces (BCIs) offer a direct communication pathway between the human brain and external devices, holding significant promise for individuals with severe neurological impairments. However, their widespread adoption is hindered by critical limitations, such as low information transfer rates and…
Sheng Wang, Xiaobin Song, Xiaopan Song, Yang Gu + 3 more
Title: Highlights 1. The latest advancements in neural signal decoding and the integration of flexible bioelectronics for non-invasive brain-computer interfaces are reviewed. 2. Multimodal data fusion, hardware-software co-optimization, and closed-loop control strategies are critical for enhancing the robustness…
Christoph Bublitz, Jennifer A. Chandler, Fruzsina Molnár-Gábor, Marta Sosa Navarro + 2 more
The development of non-medical consumer neurotechnology is gaining momentum. As companies chart the course for future implanted and invasive brain-computer interfaces (BCIs) in non-medical populations, the time has come for concrete steps toward their regulation. We propose three measures: First, a mandatory Mental…
Hee Kyu Lee, Hyun Bin Kim, Sang Uk Park, Janghoon Joo + 6 more
Brain-computer interfaces (BCIs) have made consistent advances in supporting motor and communication functions; nevertheless, their adoption in everyday environments remains constrained by enduring challenges, including chronic instability at the electrode-tissue interface, motion-induced artifacts, inter-user…
Xuan-The Tran
Millions of individuals worldwide suffer from sensory and communication deficits caused by neurodegenerative diseases, stroke, or trauma. Brain-computer interfaces (BCIs) offer a promising avenue for sensory and motor restoration. However, the scientific literature remains highly fragmented between invasive…
Yuqi Feng, Wangzheqi Zhang, Jun Chen, Huang Wu + 8 more
Brain-computer interface (BCI) technology has emerged as a crucial interdisciplinary advancement in the field of neuropsychiatric disease treatment. With the global rise in the prevalence of neurological and psychiatric disorders, which impose a substantial burden on society, BCI offers a novel approach. Since the…
Isabel Whiteley Tscherniak, Niels Christopher Thiemann, Ana McWhinnie-Fernández, Iustin Curcean + 11 more
Background: Brain-computer interfaces (BCIs) have shown significant promise over the past decades, but often fail to meet the requirements for portability and usability in real-world scenarios. Motivated by the Cybathlon 2024 competition, we developed a modular, online EEG-based BCI system to address these challenges…
Mutiyat Usman, Simachew Ashebir, Chioma Okey-Mbata, Yeoheung Yun + 1 more
Neurodegenerative diseases, including Alzheimer’s disease (AD) and Parkinson’s disease (PD), present a growing public health challenge globally. Recent advancements in neurotechnology and neuroengineering have significantly enhanced brain-computer interfaces, artificial intelligence, and organoid technologies, making…
Maxim A. Karrenbach, Hanwen Wang, Zachary Johnson, Yidan Ding + 1 more
Brain-Computer interfaces (BCIs) offer a link between neural signals and external computation, enabling control of devices for the purposes of restoring function to motor-affected individuals and enhancing capabilities of a wider set of populations. Electroencephalography (EEG) offers a high temporal resolution for…
Hubert Cecotti, Rashmi Mrugank Shah, Raksha Jagadish, Toshihisa Tanaka
Non-invasive Brain-Computer Interface (BCI) systems based on electroencephalography (EEG) signals suffer from multiple obstacles to reach a wide adoption in clinical settings for communication or rehabilitation. Among these challenges, the non-stationarity of the EEG signal is a key problem as it leads to various…
Wei Yao, Yueyue Li, Yuanyuan Meng, Xiaoling Pan + 3 more
The sustained reliability of invasive brain-computer interface (BCI) electrodes is fundamentally constrained by progressive interface destabilization, a process driven by the dynamic foreign body response (FBR). Given the intricate, time-dependent evolution of the FBR, the establishment of long-term stable neural…
Simon Higham, Young Jun Jung, Sorel E. De Leon, Wei Tong + 10 more
Implantable brain-machine interfaces, capable of capturing high-resolution neural signals, hold great promise for treating neurological conditions and advancing neuroscience research. As the field moves toward chronic, fully implantable systems, ensuring the long-term safety and stability of the microelectrode arrays…
Nicholas S. Card, Tyler Singer-Clark, Hamza Peracha, Carrina Iacobacci + 7 more
Brain-computer interfaces (BCIs) can provide naturalistic communication and digital access to people with severe paralysis by decoding neural activity associated with attempted speech and movement. Recent work has demonstrated highly accurate intracortical BCIs for speech and cursor control, but two critical…
Alina Schüller, Constantin Jehn, Marietta Stegmaier, Jasmin Riegel + 1 more
Mental imagery provides a unique window into the brain’s ability to internally simulate sensory experiences, offering valuable insights for both cognitive neuroscience and brain–computer interface (BCI) research. This study examined the neural representations of imagined auditory and visual stimuli using…
Jules Gomel, Marie-Constance Corsi, Frédéric Dehais
Steady-state visual evoked potentials (SSVEPs) are widely used in cognitive neuroscience and brain–computer interfaces (BCIs), but the visual discomfort induced by repetitive luminance flicker limits their usability, particularly in multi-target settings due to strong peripheral distraction. Textured flicker composed…
Houda Hafi, Bouziane Brik, Nuraini Jamil, Abdelkader Nasreddine Belkacem
Brain computer interface (BCI) enables the brain to directly control an external device by converting neural signals into actionable outputs. However, effective real-time translation of brain activity strongly depends on the quality of neural communication between the brain and the external device. 6G is the next…
Long Chen, Wanyi Qing, Lifen Mo, Xiaoke Chai + 5 more
Neurological injury affects hundreds of millions of people worldwide, yet the loss of motor or communication functions resulting from stroke, spinal cord injury, and neurodegenerative disease remains largely irreversible with existing therapies. Brain-computer interfaces (BCIs) offer a promising pathway for restoring…
Alexandros Pino, Dimitrios Vrailas, Georgios Kouroupetroglou, Yuki Hashimoto
This study quantitatively evaluates the performance of a non-invasive hybrid brain-computer interface (BCI) compared to a conventional mouse in pointing (point-and-click) tasks. A commercial wearable BCI (Brainfingers), based on electromyography (EMG) and electrooculography (EOG) signals with low-level…
Yanzhao Pan, Lea Rabe, Thorsten O Zander, Marius Klug
Virtual reality (VR) interaction remains largely dependent on explicit motor input, limiting seamless and adaptive interaction. This study investigated whether electroencephalography (EEG)-based passive brain–computer interfaces (BCIs), combined with eye gaze, can decode interaction intent directly from its underlying…
Mori Fukuda, Masaaki Hayashi, Seitaro Iwama, Junichi Ushiba
A simplified headset to measure electroencephalography (EEG) from sensorimotor areas is necessary to monitor motor-related neural responses accurately in real-world environments. The aim of the present study was to design and validate a novel, easy-to-use, and reliable EEG electrode holder that enables positioning of…
Radu Darie, Samuel R. Parker, Jonathan S. Calvert, Ekta Tiwari + 7 more
Modern neuroelectronic interfaces have shown great potential to diagnose conditions, address neurological dysfunction, and advance neuroscientific knowledge. However, neural interface systems today require tethered connections that restrict mobility, prevent testing across ecological contexts, and inhibit clinical…