Results 71 to 80 of about 2,171,414 (328)

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

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

An uncued brain-computer interface using reservoir computing [PDF]

, 2010
Brain-Computer Interfaces are an important and promising avenue for possible next-generation assistive devices. In this article, we show how Reservoir Comput- ing – a computationally efficient way of training recurrent neural networks – com- bined with a
Buteneers, Pieter, Kindermans, Pieter-Jan, Schrauwen, Benjamin, Verstraeten, David   +3 more
core  

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

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

Sensory Integration in Human Movement: A New Brain-Machine Interface Based on Gamma Band and Attention Level for Controlling a Lower-Limb Exoskeleton

Frontiers in Bioengineering and Biotechnology, 2020
Brain-machine interfaces (BMIs) can improve the control of assistance mobility devices making its use more intuitive and natural. In the case of an exoskeleton, they can also help rehabilitation therapies due to the reinforcement of neuro-plasticity ...
Mario Ortiz, Mario Ortiz, Laura Ferrero, Eduardo Iáñez, José M. Azorín, José L. Contreras-Vidal   +5 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

Brain-computer interface games for hedonic experiences [PDF]

, 2013
People enjoy the challenge of controlling computer games using brain signals measured by electrodes in contact with their ...
Gürkök, H., Nijholt, A.
core   +3 more sources

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