A collection of articles providing insight into the field of real-time fMRI neurofeedback, highlighting advancements in both methodology and application.
Editor Stephan Heunis
Neurofeedback with fMRI: A critical systematic review (2018)
Robert T. Thibault, Amanda MacPherson, Michael Lifshitz, Raquel R. Roth, Amir Raz
http://www.ncbi.nlm.nih.gov/pubmed/29288868
Jun 26, 2018 - A critical look at a set of 99 recent rtfMRI-NF studies and their approach to methods reporting, real-time denoising practices, study pre-registration, and more. The main questions investigated by this review are: does real-time fMRI neurofeedback training lead to individual abilit...
Kirsten Emmert, Rotem Kopel, James Sulzer, Annette B. Brühl, Brian D. Berman, David E.J. Linden, Silvina G. Horovitz, Markus Breimhorst, Andrea Caria, Sabine Frank, Stephen Johnston, Zhiying Long, Christian Paret, Fabien Robineau, Ralf Veit, Andreas Bartsch, Christian F. Beckmann, Dimitri Van De Ville, Sven Haller
http://www.ncbi.nlm.nih.gov/pubmed/26419389
Jun 26, 2018 - One of the only meta-analyses conducted in rtfMRI-NF, looking at how brain regulation is mediated.
Advances in fMRI Real-Time Neurofeedback (2017)
Takeo Watanabe, Yuka Sasaki, Kazuhisa Shibata, Mitsuo Kawato
http://www.ncbi.nlm.nih.gov/pubmed/29031663
Jun 26, 2018 - A look at the more recent developments in computational approaches to calculate the neurofeedback signal. fMRI neurofeedback based on functional connectivity (FCNef) and multivariate pattern analysis or decoded neurofeedback (DecNef) is investigated, along with unanswered questions...
Yury Koush, John Ashburner, Evgeny Prilepin, Ronald Sladky, Peter Zeidman, Sergei Bibikov, Frank Scharnowski, Artem Nikonorov, Dimitri Van De Ville
http://www.ncbi.nlm.nih.gov/pubmed/28645842
Jun 26, 2018 - As the title describes, an open-source Matlab/Python based real-time fMRI toolbox. It allows all standard steps involved in a rtfMRI experiment/study, as well as the three standard ways to calculate the feedback signal: percentage signal change of activity, functional connectivity...
Real-time fMRI using brain-state classification (2007)
Stephen M. LaConte, Scott J. Peltier, Xiaoping P. Hu
http://www.ncbi.nlm.nih.gov/pubmed/17133383
Jun 26, 2018 - One of the first examples of support vector machine (SVM) use in brain state classification using real-time fMRI.
Estimation of general linear model coefficients for real-time application (2003)
E Bagarinao, K Matsuo, T Nakai, S Sato
http://dx.doi.org/10.1016/s1053-8119(03)00081-8
Jun 26, 2018 - An algorithm that forms the basis of the incremental GLM (or iGLM) approach used in real-time fMRI applications, where general linear model coefficients are incrementally estimated based on the latest available image volume information. This saves time by not recalculating coeffici...
Real‐Time Functional Magnetic Resonance Imaging (1995)
Robert W. Cox, Andrzej Jesmanowicz, James S. Hyde
http://dx.doi.org/10.1002/mrm.1910330213
Jun 16, 2018 - The first published account of real-time fMRI, using a recursive algorithm calculating the correlation of the voxel time-series with a reference vector defined by a finger tapping task.