Results 51 to 60 of about 4,586,794 (296)

Brain Computer Interface on Track to Home [PDF]

The Scientific World Journal, 2015
The novel BackHome system offers individuals with disabilities a range of useful services available via brain‐computer interfaces (BCIs), to help restore their independence. This is the time such technology is ready to be deployed in the real world, that is, at the target end users’ home.
Felip Miralles, Eloisa Vargiu, Stefan Dauwalder, Marc Solà, Gernot Müller-Putz, Selina C. Wriessnegger, Andreas Pinegger, Andrea Kübler, Sebastian Halder, Ivo Käthner, Suzanne Martin, Jean Daly, Elaine Armstrong, Christoph Guger, Christoph Hintermüller, Hannah Lowish   +15 more
openaire   +4 more sources

Avidin is evolutionarily conserved in fish but dispensable for development and resistance against Streptococcus agalactiae in zebrafish

FEBS Open Bio, EarlyView.
The presence of biotin‐binding avidin proteins in fish and their biological significance are poorly characterized. We cataloged fish avidins and demonstrate that they are widely present and evolutionarily conserved. We created avd knockout zebrafish and show that zebavidin is dispensable for development and that resistance of avd knockout embryos in ...
Anni K. Saralahti, Markus J. T. Ojanen, Mataleena Parikka, Otto Kauko, Mika Rämet, Vesa P. Hytönen   +5 more
wiley   +1 more source

GRASP: a response-locked paradigm that reveals low-beta desynchronisation is a participant-invariant signature of semantic decoding in EEG

Frontiers in Human Neuroscience
Conventional Brain-Computer Interfaces (BCIs) typically rely on sequential selection mechanisms, limiting communication speed and increasing dependence on preserved sensory or motor pathways.
Moein Radman, Joshua James Podmore, Riccardo Poli, Silke Paulmann, Ian Daly   +4 more
doaj   +1 more source

Biased feedback in brain-computer interfaces

Journal of NeuroEngineering and Rehabilitation, 2010
Even though feedback is considered to play an important role in learning how to operate a brain-computer interface (BCI), to date no significant influence of feedback design on BCI-performance has been reported in literature.
Barbero Álvaro, Grosse-Wentrup Moritz
doaj   +1 more source

Encoder-decoder optimization for brain-computer interfaces. [PDF]

PLoS Computational Biology, 2015
Neuroprosthetic brain-computer interfaces are systems that decode neural activity into useful control signals for effectors, such as a cursor on a computer screen.
Josh Merel, Donald M Pianto, John P Cunningham, Liam Paninski   +3 more
doaj   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Paramagnetic Rim Lesions and Choroid Plexus Volume at Diagnosis Are Associated With Cognitive Progression Independent of Relapse and MRI Activity in Early Relapsing–Remitting Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Paramagnetic rim lesions (PRLs) and choroid plexus (CP) enlargement reflect smoldering inflammation in multiple sclerosis. Their role in cognitive progression remains unexplored. Eighty‐seven early relapsing–remitting MS patients were enrolled at diagnosis and followed longitudinally.
Stefano Ziccardi, Damiano Marastoni, Agnese Tamanti, Pietro Biasi, Valentina Visani, Annalisa Colombi, Tom A. Fuchs, Monica Sicchieri, Chiara Eccher, Francesco Guarnaccia, Milena Calderone, Valentina Camera, Francesca Benedetta Pizzini, Roberta Magliozzi, Marco Castellaro, Massimiliano Calabrese   +15 more
wiley   +1 more source

Edge AI-Brain–Computer Interfaces System: A Survey

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Edge artificial intelligence (Edge AI) has emerged as a transformative paradigm for enhancing the performance, portability, and autonomy of brain–computer interface (BCI) systems.
Manh-Dat Nguyen, Thomas Do, Xuan-The Tran, Quoc-Toan Nguyen, Chin-Teng Lin   +4 more
doaj   +1 more source

Electroencephalography-Based Brain–Machine Interfaces in Older Adults: A Literature Review

Bioengineering, 2023
The aging process is a multifaceted phenomenon that affects cognitive-affective and physical functioning as well as interactions with the environment.
Luca Mesin, Giuseppina Elena Cipriani, Martina Amanzio   +2 more
doaj   +1 more source

Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane, Valentina Giunchiglia, Michael C. B. David, Magdalena A. Kolanko, William R. Trender, Peter J. Hellyer, Harmeena Kaur, David J. Sharp, Christopher Carswell, Paresh A. Malhotra, Adam Hampshire   +10 more
wiley   +1 more source