Results 81 to 90 of about 2,082,534 (353)

Non-Invasive Brain-to-Brain Interface (BBI): Establishing Functional Links between Two Brains [PDF]

, 2013
Transcranial focused ultrasound (FUS) is capable of modulating the neural activity of specific brain regions, with a potential role as a non-invasive computer-to-brain interface (CBI).
A Presacco, B Allison, B Sorger, B Sorger, B-K Min, B-K Min, BK Min, BZ Allison, C Guger, CS Herrmann, DG Pelli, DH Brainard, E Martin, Emmanuel Filandrianos, ET Fonoff, F Galan, FJ Fry, GJ Stephens, Hyungmin Kim, JE O’Doherty, JE O’Doherty, JH Lee, JR Wolpaw, Julie A. Chowen, KB Ng, KE Hoy, LD Liao, LR Hochberg, LW Ostrow, M Velliste, M Zacksenhouse, MA Lebedev, O Naor, PC Wong, PM Rossini, PS Yang, RD Linden, Seung-Schik Yoo, Seyed Javid Taghados, Shinsuk Park, SK Talwar, SS Haghighi, SS Yoo, SS Yoo, T Fawcett, U Hasson, WJ Tyler, Y Tufail   +47 more
core   +4 more sources

Conducting Polymer Microelectrode Arrays for Simultaneous Electrophysiology and Advanced Brain Imaging

Advanced Functional Materials, EarlyView.
A flexible micro‐electrocorticography array with PEDOT:SS electrodes is shown to be compatible with ultra‐high magnetic field MRI up to 9.4 T. Multimodal brain monitoring is demonstrated by performing simultaneous blood oxygen level‐dependent functional MRI in parallel with electrophysiology.
Sagnik Middya, Alejandro Carnicer‐Lombarte, Stephen Sawiak, Sam Hilton, Vincenzo F Curto, Damiano G Barone, Gabriele S Kaminski Schierle, George G Malliaras   +7 more
wiley   +1 more source

Weighted Multi-Modal Contrastive Learning Based Hybrid Network for Alzheimer’s Disease Diagnosis

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Multiple imaging modalities and specific proteins in the cerebrospinal fluid, providing a comprehensive understanding of neurodegenerative disorders, have been widely used for computer-aided diagnosis of Alzheimer’s disease (AD).
Renping Yu, Chao Peng, Jixiang Zhu, Mingming Chen, Rui Zhang   +4 more
doaj   +1 more source

Analysis of the application of brain-computer interfaces of a selected paradigm in everyday life

Journal of Computer Sciences Institute, 2022
The main objective of this paper is to carry out a research on the analysis of the use of brain-computer interface in everyday life. In this paper, various methods of recording brain activity are presented.
Katarzyna Mróz, Małgorzata Plechawska-Wójcik   +1 more
doaj   +1 more source

Personalized Brain-Computer Interface Models for Motor Rehabilitation

, 2017
We propose to fuse two currently separate research lines on novel therapies for stroke rehabilitation: brain-computer interface (BCI) training and transcranial electrical stimulation (TES).
Grosse-Wentrup, Moritz, Mastakouri, Anastasia-Atalanti, Meyer, Timm, Schölkopf, Bernhard, Weichwald, Sebastian, Özdenizci, Ozan   +5 more
core   +1 more source

Engineering the Hierarchical Porosity of Granular Hydrogel Scaffolds Using Porous Microgels to Improve Cell Recruitment and Tissue Integration

Advanced Functional Materials, Volume 35, Issue 12, March 18, 2025.
By fabricating and covalently assembling gelatin methacryloyl (GelMA) porous microgels, a new class of granular hydrogel scaffolds with hierarchical porosity is developed. These scaffolds have a significantly higher void fraction than their counterparts made up of nonporous microgels, enhancing cell recruitment and tissue integration. This research may
Alexander Kedzierski, Sina Kheirabadi, Arian Jaberi, Zaman Ataie, Catherine L. Mojazza, Marisa L. Williamson, Anton M. Hjaltason, Aneesh Risbud, Yuanhui Xiang, Amir Sheikhi   +9 more
wiley   +1 more source

An Interventional Brain-Computer Interface for Long-Term EEG Collection and Motion Classification of a Quadruped Mammal

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Brain-computer interfaces (BCI) acquire electroencephalogram (EEG) signals to effectively address postoperative motor dysfunction in stroke patients by discerning their motor intentions during significant movements.
Sining Li, Gan Liu, Fan Feng, Ziqing Chang, Wenyu Li, Feng Duan   +5 more
doaj   +1 more source

Analysis of the EEG Rhythms Based on the Empirical Mode Decomposition During Motor Imagery When Using a Lower-Limb Exoskeleton. A Case Study

Frontiers in Neurorobotics, 2020
The use of brain-machine interfaces in combination with robotic exoskeletons is usually based on the analysis of the changes in power that some brain rhythms experience during a motion event.
Mario Ortiz, Mario Ortiz, Eduardo Iáñez, José L. Contreras-Vidal, José M. Azorín   +4 more
doaj   +1 more source

EEG-based Brain-Computer Interfaces for people with Disorders of Consciousness: Features and applications. A systematic review

Frontiers in Human Neuroscience, 2022
BackgroundDisorders of Consciousness (DoC) are clinical conditions following a severe acquired brain injury (ABI) characterized by absent or reduced awareness, known as coma, Vegetative State (VS)/Unresponsive Wakefulness Syndrome (VS/UWS), and Minimally
Valentina Galiotta, Valentina Galiotta, Ilaria Quattrociocchi, Ilaria Quattrociocchi, Mariagrazia D'Ippolito, Francesca Schettini, Francesca Schettini, Pietro Aricò, Pietro Aricò, Pietro Aricò, Stefano Sdoia, Rita Formisano, Febo Cincotti, Donatella Mattia, Donatella Mattia, Angela Riccio, Angela Riccio   +16 more
doaj   +1 more source

Brain-Computer Interface-Based Humanoid Control: A Review

Italian National Conference on Sensors, 2020
A Brain-Computer Interface (BCI) acts as a communication mechanism using brain signals to control external devices. The generation of such signals is sometimes independent of the nervous system, such as in Passive BCI.
Vinay Chamola, Ankur Vineet, A. Nayyar, Eklas Hossain   +3 more
semanticscholar   +1 more source