Learned brain self-regulation for emotional processing and attentional modulation: from theory to clinical applications

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About this Research Topic

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Background

Mounting evidence in the last years has demonstrated that self-regulation of brain activity can successfully be achieved by neurofeedback. These methodologies have constituted themselves as new tools for cognitive neuroscience establishing causal links between voluntary brain activations and cognition and behavior, and as potential novel approaches for clinical applications in severe neuropsychiatric disorders (e.g. schizophrenia, depression, Parkinson´s disease, etc.). Current developments of brain imaging-based neurofeedback include the study of the behavioral modifications and neural reorganization produced by learned regulation of the activity of circumscribed brain regions and neuronal network activations.
In a rapidly developing field, many open questions and controversies have arisen, i.e. choosing the proper experimental design, the adequate use of control conditions and subjects, the mechanism of learning involved in brain self-regulation, and the still unexplored potential long-lasting effect on brain reorganization and clinical alleviation, among others.
This research topic will attract theoretical, technical and experimental achievements in neurofeedback based on EEG/MEG and hemodynamic-based neurofeedback (fMRI/NIRS) for the modulation of emotional processing and attention enhancement.

Subtopics include but are not limited to:
- Theoretical discussion on brain computer interfaces/neurofeedback
- New methods and technical developments
- Experimental studies on healthy populations
- Clinical studies

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