Advances in fMRI real-time neurofeedback

T Watanabe, Y Sasaki, K Shibata, M Kawato - Trends in cognitive sciences, 2017 - cell.com
Functional magnetic resonance imaging (fMRI) neurofeedback is a type of biofeedback in
which real-time online fMRI signals are used to self-regulate brain function. Since its advent …

Neurofeedback through the lens of reinforcement learning

N Lubianiker, C Paret, P Dayan, T Hendler - Trends in Neurosciences, 2022 - cell.com
Despite decades of experimental and clinical practice, the neuropsychological mechanisms
underlying neurofeedback (NF) training remain obscure. NF is a unique form of …

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 …

Real-time functional MRI in the treatment of mental health disorders

V Taschereau-Dumouchel… - Annual review of …, 2022 - annualreviews.org
Multiple mental disorders have been associated with dysregulation of precise brain
processes. However, few therapeutic approaches can correct such specific patterns of brain …

Toward a comprehensive understanding of the neural mechanisms of decoded neurofeedback

K Shibata, G Lisi, A Cortese, T Watanabe, Y Sasaki… - NeuroImage, 2019 - Elsevier
Real-time functional magnetic resonance imaging (fMRI) neurofeedback is an experimental
framework in which fMRI signals are presented to participants in a real-time manner to …

[HTML][HTML] Can neurofeedback provide evidence of direct brain-behavior causality?

TL Kvamme, T Ros, M Overgaard - Neuroimage, 2022 - Elsevier
Neurofeedback is a procedure that measures brain activity in real-time and presents it as
feedback to an individual, thus allowing them to self-regulate brain activity with effects on …

Transfer learning based on optimal transport for motor imagery brain-computer interfaces

V Peterson, N Nieto, D Wyser… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Objective: This paper tackles the cross-sessions variability of electroencephalography-
based brain-computer interfaces (BCIs) in order to avoid the lengthy recalibration step of the …

The efficacy of real-time functional magnetic resonance imaging neurofeedback for psychiatric illness: A meta-analysis of brain and behavioral outcomes

E Dudek, D Dodell-Feder - Neuroscience & Biobehavioral Reviews, 2021 - Elsevier
Real-time functional magnetic resonance imaging neurofeedback (rtfMRI-NF) has gained
popularity as an experimental treatment for a variety of psychiatric illnesses. However, there …

Short-delay neurofeedback facilitates training of the parietal alpha rhythm

A Belinskaia, N Smetanin, M Lebedev… - Journal of neural …, 2020 - iopscience.iop.org
Objective. Feedback latency was shown to be a critical parameter in a range of applications
that imply learning. The therapeutic effects of neurofeedback (NFB) remain controversial. We …

Neurofeedback

M Hampson, S Ruiz, J Ushiba - Neuroimage, 2020 - pubmed.ncbi.nlm.nih.gov
Neurofeedback Neurofeedback Neuroimage. 2020 Sep;218:116473. doi: 10.1016/j.neuroimage.2019.116473.
Epub 2019 Dec 18. Authors Michelle Hampson 1 , Sergio Ruiz 2 , Junichi Ushiba 3 Affiliations …