15 papers · ranked by Valyu relevance
Elton Ho, Mark Hettick, Demetrios Papageorgiou, Adam J. Poole + 7 more
Progress toward the development of brain–computer interfaces has signaled the potential to restore, replace, or augment lost or impaired neurological function in a variety of disease states. Existing brain–computer interfaces rely on invasive surgical procedures or brain-penetrating electrodes, which limit addressable…
Dylan Forenzo, Hao Zhu, Jenn Shanahan, Jaehyun Lim + 1 more
Brain-computer interfaces (BCI) using electroencephalography (EEG) provide a non-invasive method for users to interact with external devices without the need for muscle activation. While noninvasive BCIs have the potential to improve the lives of both healthy and motor impaired individuals, they currently have limited…
Joshua Sabio, Nikolas S Williams, Genevieve M McArthur, Nicholas A Badcock
Commercial electroencephalography (EEG) devices have become increasingly available over the last decade. These devices have been used in a wide variety of fields ranging from engineering to cognitive neuroscience. The aim of this study was to chart peer-review articles that used currently available consumer-grade EEG…
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…
Sotirios Papadopoulos, Maciej J Szul, Marco Congedo, James J Bonaiuto + 1 more
Current efforts to build reliable brain-computer interfaces (BCI) span multiple axes from hardware, to software, to more sophisticated experimental protocols, and personalized approaches. However, despite these abundant efforts, there is still room for significant improvement. We argue that a rather overlooked…
Tyler Singer-Clark, Xianda Hou, Nicholas S. Card, Maitreyee Wairagkar + 5 more
Decoding neural activity from ventral (speech) motor cortex is known to enable high-performance speech brain-computer interface (BCI) control. It was previously unknown whether this brain area could also enable computer control via neural cursor and click, as is typically associated with dorsal (arm and hand) motor…
Michael A Jensen, Gerwin Schalk, Nuri Ince, Dora Hermes + 2 more
Stereoelectroencephalography (sEEG) is a mesoscale intracranial monitoring method which records from the brain volumetrically with depth electrodes. Implementation of sEEG in BCI has not been well-described across a diverse patient cohort. Across eighteen subjects, channels with high frequency broadband (HFB, 65-115Hz)…
Kotaro Yamashiro, Nobuyoshi Matsumoto, Yuji Ikegaya
Brain-computer interface (BCI) technology has gained recognition in various fields, including clinical applications, assistive technology, and human-computer interaction research. BCI enables communication, control, and monitoring of the affective/cognitive states of users. Recently, BCI has also found applications in…
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…
Dylan Forenzo, Yixuan Liu, Jeehyun Kim, Yidan Ding + 2 more
Objective: EEG-based brain-computer interfaces (BCI) are non-invasive approaches for replacing or restoring motor functions in impaired patients, and direct brain-to-device communication in the general population. Motor imagery (MI) is one of the most used BCI paradigms, but its performance varies across individuals…
Artur Petrosyan, Alexey Voskoboinikov, Dmitrii Sukhinin, Anna Makarova + 4 more
Speech decoding, one of the most intriguing BCI applications, opens up plentiful opportunities from rehabilitation of patients to direct and seamless communication between human species. Typical solutions rely on invasive recordings with a large number of distributed electrodes implanted through craniotomy. Here we…
Uğur Can Akkaya, Çağatay Demirel, Reuben de Lautour, Gökhan İnce
This paper describes the development and testing of a brain-computer musical interface (BCMI) that allows a user to select and transform one element of a musical texture by paying attention to that particular element. In order to realize the BCMI system mentioned, a comprehensive testing scheme was established which…
Alaa-Allah Essam, Ammar Ibrahim, Ashar Zanqour, Mariam El-Saqa + 5 more
Brain-computer interfaces (BCIs) exploit brain activity to bypass neuromuscular control with the aim of providing alternative means of communication with the surrounding environment. Such systems can significantly improve the quality of life for patients suffering from severe motor or speech impairment. Multimodal BCIs…
J. Lee, A. H. Lee, V. Leung, L. Larson + 1 more
Transmitting meaningful information into brain circuits by electronic means is a challenge facing brain-computer interfaces. A key goal is to find an approach to inject spatially structured local current stimuli across swaths of sensory areas of the cortex. Here, we introduce a fully wireless approach to multipoint…
Samuel R. Nason-Tomaszewski, Matthew J. Mender, Eric Kennedy, Joris M. Lambrecht + 7 more
Brain-machine interfaces have shown promise in extracting upper extremity movement intention from the thoughts of nonhuman primates and people with tetraplegia. Attempts to restore a user’s own hand and arm function have employed functional electrical stimulation (FES), but most work has restored discrete grasps.…