Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states

AE Hramov, VA Maksimenko, AN Pisarchik - Physics Reports, 2021 - Elsevier
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …

The neuroscience of mindfulness meditation

YY Tang, BK Hölzel, MI Posner - Nature reviews neuroscience, 2015 - nature.com
Research over the past two decades broadly supports the claim that mindfulness meditation—
practiced widely for the reduction of stress and promotion of health—exerts beneficial effects …

fNIRS-based brain-computer interfaces: a review

N Naseer, KS Hong - Frontiers in human neuroscience, 2015 - frontiersin.org
A brain-computer interface (BCI) is a communication system that allows the use of brain
activity to control computers or other external devices. It can, by bypassing the peripheral …

[HTML][HTML] Hybrid brain–computer interface techniques for improved classification accuracy and increased number of commands: a review

KS Hong, MJ Khan - Frontiers in neurorobotics, 2017 - frontiersin.org
In this paper, hybrid brain-computer interface (hBCI) technologies for improving
classification accuracy and increasing the number of commands are reviewed. Hybridization …

Real-time fMRI neurofeedback: progress and challenges

J Sulzer, S Haller, F Scharnowski, N Weiskopf… - Neuroimage, 2013 - Elsevier
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 …

Medical image processing on the GPU–Past, present and future

A Eklund, P Dufort, D Forsberg, SM LaConte - Medical image analysis, 2013 - Elsevier
Graphics processing units (GPUs) are used today in a wide range of applications, mainly
because they can dramatically accelerate parallel computing, are affordable and energy …

Closed-loop training of attention with real-time brain imaging

MT Debettencourt, JD Cohen, RF Lee, KA Norman… - Nature …, 2015 - nature.com
Lapses of attention can have negative consequences, including accidents and lost
productivity. Here we used closed-loop neurofeedback to improve sustained attention …

Computational approaches to fMRI analysis

JD Cohen, N Daw, B Engelhardt, U Hasson, K Li… - Nature …, 2017 - nature.com
Abstract Analysis methods in cognitive neuroscience have not always matched the richness
of fMRI data. Early methods focused on estimating neural activity within individual voxels or …

Real-time fMRI and its application to neurofeedback

N Weiskopf - Neuroimage, 2012 - Elsevier
Real-time fMRI (rtfMRI) allows immediate access to experimental results by analyzing data
as fast as they are acquired. It was devised soon after the inception of fMRI and has …

Learning to modulate one's own brain activity: the effect of spontaneous mental strategies

SE Kober, M Witte, M Ninaus, C Neuper… - Frontiers in human …, 2013 - frontiersin.org
Using neurofeedback (NF), individuals can learn to modulate their own brain activity, in most
cases electroencephalographic (EEG) rhythms. Although a large body of literature reports …