Advances in Neurofeedback Research
A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Neurotechnology and Neuroimaging".
Deadline for manuscript submissions: 25 January 2026 | Viewed by 1340
Special Issue Editor
Interests: memory; cognitive aging; dementia; neurofeedback; computational modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Neurofeedback, also known as brain biofeedback, has a long history dating back to the beginnings of cognitive psychology. As a field, it has seen considerable evolution in the applied clinical domain, where it is referred to as neurotherapy, and in the domain of technological communication systems, where brain–computer interfaces involve neurofeedback and machine learning. Whereas most of the literature on neurofeedback focuses on electroencephalography (EEG) as the source of brain signals, other modalities, such as blood-oxygenation-level-dependent (BOLD) signals, have been used successfully. There are differences in methods and research questions between EEG- and BOLD-based neurofeedback. In addition, theoretical advances are influencing research methods and the neurofeedback applications.
The aim of this Special Issue is to solicit original research articles as well as review articles that showcase the breadth of depth of cutting-edge research into neurofeedback
Prof. Dr. Eddy J. Davelaar
Guest Editor
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Keywords
- neurofeedback
- brain–computer interface
- neurophenomenology
- EEG
- rt-fMRI
- fNIRS-neurofeedback
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