Other applications


Zweerings, J., Hummel, B., Keller, M., Zvyagintsev, M., Schneider, F., Klasen, M., & Mathiak, K. (2019). Neurofeedback of core language network nodes modulates connectivity with the default-mode network: A double-blind fMRI neurofeedback study on auditory verbal hallucinations. NeuroImage, 189, 533-542. doi:http://dx.doi.org/10.1016/j.neuroimage.2019.01.058

Jeunet, C., Glize, B., McGonigal, A., Batail, J., & Micoulaud-Franchi, J. (2019). Using EEG-based brain computer interface and neurofeedback targeting sensorimotor rhythms to improve motor skills: Theoretical background, applications and prospects. Neurophysiologie Clinique = Clinical Neurophysiology, 49(2), 125-136. doi:http://dx.doi.org/10.1016/j.neucli.2018.10.068

Sherwood, M. S., Parker, J. G., Diller, E. E., Ganapathy, S., Bennett, K. B., Esquivel, C. R., & Nelson, J. T. (2019). Self-directed down-regulation of auditory cortex activity mediated by real-time fMRI neurofeedback augments attentional processes, resting cerebral perfusion, and auditory activation. NeuroImage, 195, 475-489. doi:http://dx.doi.org/10.1016/j.neuroimage.2019.03.078

Kohl, S. H., Veit, R., Spetter, M. S., Günther, A., Rina, A., Lührs, M., . . . Hallschmid, M. (2019). Real-time fMRI neurofeedback training to improve eating behavior by self-regulation of the dorsolateral prefrontal cortex: A randomized controlled trial in overweight and obese subjects. NeuroImage, 191, 596-609. doi:http://dx.doi.org/10.1016/j.neuroimage.2019.02.033

Kopel, R., Sladky, R., Laub, P., Koush, Y., Robineau, F., Hutton, C., . . . Scharnowski, F. (2019). No time for drifting: Comparing performance and applicability of signal detrending algorithms for real-time fMRI. NeuroImage, 191, 421-429. doi:http://dx.doi.org/10.1016/j.neuroimage.2019.02.058

Alves-Pinto, A., Turova, V., Blumenstein, T., Hantuschke, C., & Lampe, R. (2017). Implicit Learning of a Finger Motor Sequence by Patients with Cerebral Palsy After Neurofeedback. Applied psychophysiology and biofeedback, 42(1), 27-37.

Buyukturkoglu, K., Porcaro, C., Cottone, C., Cancelli, A., Inglese, M., & Tecchio, F. (2017). Simple index of functional connectivity at rest in multiple sclerosis fatigue. Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology, 128(5), 807-813. doi:http://dx.doi.org/10.1016/j.clinph.2017.02.010

Hartmann, T., Lorenz, I., Müller, N., Langguth, B., & Weisz, N. (2014). The effects of neurofeedback on oscillatory processes related to tinnitus. Brain topography, 27(1), 149-157.

Robineau, F., Saj, A., Neveu, R., Ville, V. D., Scharnowski, F., & Vuilleumier, P. (2017). Using real-time fMRI neurofeedback to restore right occipital cortex activity in patients with left visuo-spatial neglect: Proof-of-principle and preliminary results. Neuropsychological Rehabilitation, , 1-22. doi:http://dx.doi.org/10.1080/09602011.2017.1301262

Ros, T., Moseley, M. J., Bloom, P. A., Benjamin, L., Parkinson, L. A., & Gruzelier, J. H. (2009). Optimizing microsurgical skills with EEG neurofeedback. BMC neuroscience, 10(1), 87.