Real-time fMRI neurofeedback: progress and challenges
In February of 2012, the first international conference on real time functional magnetic
resonance imaging (rtfMRI) neurofeedback was held at the Swiss Federal Institute of …
resonance imaging (rtfMRI) neurofeedback was held at the Swiss Federal Institute of …
A systematic review of the psychological factors that influence neurofeedback learning outcomes
KC Kadosh, G Staunton - Neuroimage, 2019 - Elsevier
Real-time functional magnetic resonance imaging (fMRI)-based neurofeedback represents
the latest applied behavioural neuroscience methodology developed to train participants in …
the latest applied behavioural neuroscience methodology developed to train participants in …
[HTML][HTML] A voxel-wise encoding model for early visual areas decodes mental images of remembered scenes
Recent multi-voxel pattern classification (MVPC) studies have shown that in early visual
cortex patterns of brain activity generated during mental imagery are similar to patterns of …
cortex patterns of brain activity generated during mental imagery are similar to patterns of …
Detecting awareness after severe brain injury
D Fernández-Espejo, AM Owen - Nature Reviews Neuroscience, 2013 - nature.com
Recent developments in functional neuroimaging have provided a number of new tools for
assessing patients who clinically appear to be in a vegetative state. These techniques have …
assessing patients who clinically appear to be in a vegetative state. These techniques have …
Non-invasive control interfaces for intention detection in active movement-assistive devices
J Lobo-Prat, PN Kooren, AHA Stienen… - … of neuroengineering and …, 2014 - Springer
Active movement-assistive devices aim to increase the quality of life for patients with
neuromusculoskeletal disorders. This technology requires interaction between the user and …
neuromusculoskeletal disorders. This technology requires interaction between the user and …
Current progress in real-time functional magnetic resonance-based neurofeedback: Methodological challenges and achievements
Neurofeedback (NF) is a research and clinical technique, characterized by live
demonstration of brain activation to the subject. The technique has become increasingly …
demonstration of brain activation to the subject. The technique has become increasingly …
Recent advances in disorders of consciousness: focus on the diagnosis
Background: Over the last two decades, there has been a considerable increase in
knowledge of brain function in patients with disorders of consciousness following a coma …
knowledge of brain function in patients with disorders of consciousness following a coma …
Non-invasive brain-to-brain interface (BBI): establishing functional links between two brains
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 …
specific brain regions, with a potential role as a non-invasive computer-to-brain interface …
Survey on brain-computer interface: An emerging computational intelligence paradigm
A brain-computer interface (BCI) provides a way to develop interaction between a brain and
a computer. The communication is developed as a result of neural responses generated in …
a computer. The communication is developed as a result of neural responses generated in …
Deep learning in EEG-based BCIs: a comprehensive review of transformer models, advantages, challenges, and applications
Brain-computer interfaces (BCIs) have undergone significant advancements in recent years.
The integration of deep learning techniques, specifically transformers, has shown promising …
The integration of deep learning techniques, specifically transformers, has shown promising …