Results 91 to 100 of about 378,811 (361)

A review of user training methods in brain computer interfaces based on mental tasks

Journal of Neural Engineering, 2020
Mental-tasks based brain–computer interfaces (MT-BCIs) allow their users to interact with an external device solely by using brain signals produced through mental tasks.
A. Roc, Léa Pillette, J. Mladenović, Camille Benaroch, B. N'Kaoua, C. Jeunet, F. Lotte   +6 more
semanticscholar   +1 more source

Navigating new norms: a systematic review of factors for the development of effective digital tools in higher education

FEBS Open Bio, EarlyView.
What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman, Jessica Haines, Connie Pritchard, Stephen Rutherford, Nigel Francis   +4 more
wiley   +1 more source

As we may think and be: Brain-computer interfaces to expand the substrate of mind [PDF]

, 2015
Over a half-century ago, the scientist Vannevar Bush explored the conundrum of how to tap the exponentially rising sea of human knowledge for the betterment of humanity.
Serruya, Mijail
core   +2 more sources

An EEG dataset to study neural correlates of audiovisual long-term memory retrieval

Scientific Data
Memory retrieval is a fundamental cognitive process that plays a critical role in our lives. Studying the neural correlates of this process has significant implications for numerous fields, such as education and health care.
Ana Matran-Fernandez, Sebastian Halder
doaj   +1 more source

Pathogenic Neurofibromatosis type 1 gene variants in tumors of non‐NF1 patients and role of R1276

FEBS Open Bio, EarlyView.
Somatic variants of the neurofibromatosis type 1 (NF1) gene occur across neoplasms without clinical manifestation of the disease NF1. We identified emerging somatic pathogenic NF1 variants and hotspots, for example, at the arginine finger 1276. Those missense variants provide fundamental information about neurofibromin's role in cancer.
Mareike Selig, Swanhild Lohse, Sara Elahi, Nils Hartmann, Stefanie Deckert, Shutian Si, Alexander Desuki, Anja Harder   +7 more
wiley   +1 more source

Brain‐computer interfaces for post‐stroke motor rehabilitation: a meta‐analysis

Annals of Clinical and Translational Neurology, 2018
Brain‐computer interfaces (BCIs) can provide sensory feedback of ongoing brain oscillations, enabling stroke survivors to modulate their sensorimotor rhythms purposefully.
María A Cervera, S. Soekadar, J. Ushiba, J. Millán, Meigen Liu, N. Birbaumer, Gangadhar Garipelli   +6 more
semanticscholar   +1 more source

Lesion Location and Functional Connections Reveal Cognitive Impairment Networks in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive impairment, fatigue, and depression are common in multiple sclerosis (MS), potentially due to disruption of regional functional connectivity caused by white matter (WM) lesions. We explored whether WM lesions functionally connected to specific brain regions contribute to these MS‐related manifestations.
Alessandro Franceschini, Paolo Preziosa, Paola Valsasina, Damiano Mistri, Monica Margoni, Federica Esposito, Massimo Filippi, Maria A. Rocca   +7 more
wiley   +1 more source

Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong, Min‐Hee Lee, Hiroshi Uda, Yoon Ho Hwang, Michael Behen, Aimee Luat, Csaba Juhász, Eishi Asano   +7 more
wiley   +1 more source

Extracting optimal tempo-spatial features using local discriminant bases and common spatial patterns for brain computer interfacing [PDF]

, 2013
Brain computer interfaces (BCI) provide a new approach to human computer communication, where the control is realised via performing mental tasks such as motor imagery (MI).
Allison, Ang, Asensio-Cubero, Bezdek, Blankertz, Blankertz, Bridge, Brunner, Cohen, Comon, Dornhege, Dornhege, Fukunaga, Hsu, Ince, Ince, Javier Asensio-Cubero, John Q. Gan, Mousavi, Nazarpour, Neuper, Nijholt, Palaniappan, Parra, Pfurtscheller, Ramaswamy Palaniappan, Ramoser, rat Ince, Wang, Wickerhauser, Wilcoxon, Wold, Wongsawat, Wu, Yang   +34 more
core   +1 more source

Trends in the Brain-Computer Interface [PDF]

, 2021
Matej Kostrec, Bohumír Štědroň
openalex   +1 more source