Real-time fMRI neurofeedback: Progress and challenges
By J. Sulzer, S. Haller, F. Scharnowski, Nikolaus Weiskopf, Niels Birbaumer, M. Blefari, A. Brühl, Leonardo G. Cohen, R. DeCharms, Roger Gassert and 7 more. NeuroImage, 2013
462 citations recorded by the source corpus.
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 Technology Zurich (ETHZ), Switzerland. This review summarizes progress in the field, introduces current debates, elucidates open questions, and offers viewpoints derived from the conference. The review offers perspectives on study design, scientific and clinical applications, rtfMRI learning mechanisms and future outlook.
Subfields: Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/9c22dd9e2c262bee25bdb84c4a7fd6cb0e595a25
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Chad Giusti
- Til Ole Bergmann
- Marom Bikson
- Robert Ghrist
- D. Bassett
- Michael A. Nitsche
- Felix Scholkmann
- M. Paulus
In Radiology, Nuclear Medicine and Imaging
- Chad Giusti
- Felix Scholkmann
- Robert Ghrist
- Til Ole Bergmann
- Stefan Kleiser
- Martin Wolf
- D. Bassett
- Marom Bikson
Citations in the corpus
- Two’s company, three (or more) is a simplex (2016, background): “Similarly, advanced neu-rotechnologies including microstimulation, transcranial magnetic stimulation, and neurofeedback enable effective control over larger swaths of cortex (Krug et al, 2015; Sulzer et al, 2013).”
- A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology (2014, methodology): “It can also be applied as method to provide neuro-feedback for basic neuroscientific studies and/or therapeutic interventions (Sulzer et al., 2013; Tinius and Pa, 2005).”
- Closing the loop between brain and electrical stimulation: towards precision neuromodulation treatments (2023, methodology): “…measured output of the brain and the stimulator [11, 12, 55, 68, 72 – 74], allowing to take advantage of closed-loop brain modulation approaches used in rtfMRI-neurofeedback studies (Sulzer et al. 2013) and thus adapt stimulation parameters to ongoing fl uctuations in brain physiology dynamically.”