Closed-loop brain training: the science of neurofeedback

R Sitaram, T Ros, L Stoeckel, S Haller… - Nature Reviews …, 2017 - nature.com
Neurofeedback is a psychophysiological procedure in which online feedback of neural
activation is provided to the participant for the purpose of self-regulation. Learning control …

Brain–computer interfaces for communication and rehabilitation

U Chaudhary, N Birbaumer… - Nature Reviews …, 2016 - nature.com
Brain–computer interfaces (BCIs) use brain activity to control external devices, thereby
enabling severely disabled patients to interact with the environment. A variety of invasive …

[HTML][HTML] Neuroimaging and neuromodulation approaches to study eating behavior and prevent and treat eating disorders and obesity

D Val-Laillet, E Aarts, B Weber, M Ferrari… - NeuroImage: Clinical, 2015 - Elsevier
Functional, molecular and genetic neuroimaging has highlighted the existence of brain
anomalies and neural vulnerability factors related to obesity and eating disorders such as …

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 …

Neurofeedback with fMRI: A critical systematic review

RT Thibault, A MacPherson, M Lifshitz, RR Roth, A Raz - Neuroimage, 2018 - Elsevier
Neurofeedback relying on functional magnetic resonance imaging (fMRI-nf) heralds new
prospects for self-regulating brain and behavior. Here we provide the first comprehensive …

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 …

The self-regulating brain and neurofeedback: experimental science and clinical promise

RT Thibault, M Lifshitz, A Raz - cortex, 2016 - Elsevier
Neurofeedback, one of the primary examples of self-regulation, designates a collection of
techniques that train the brain and help to improve its function. Since coming on the scene in …

Meta-analysis of real-time fMRI neurofeedback studies using individual participant data: How is brain regulation mediated?

K Emmert, R Kopel, J Sulzer, AB Brühl, BD Berman… - Neuroimage, 2016 - Elsevier
An increasing number of studies using real-time fMRI neurofeedback have demonstrated
that successful regulation of neural activity is possible in various brain regions. Since these …

Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studies

B Sorger, F Scharnowski, DEJ Linden, M Hampson… - Neuroimage, 2019 - Elsevier
Abstract fMRI Neurofeedback research employs many different control conditions. Currently,
there is no consensus as to which control condition is best, and the answer depends on …

Neural substrates of cue reactivity: association with treatment outcomes and relapse

KE Courtney, JP Schacht, K Hutchison… - Addiction …, 2016 - Wiley Online Library
Given the strong evidence for neurological alterations at the basis of drug dependence,
functional magnetic resonance imaging (fMRI) represents an important tool in the clinical …