therapeutic tool

This archive contains 2 research papers tagged therapeutic tool. Open the original sources to see their methods, findings and limitations. A topic label does not establish that neurofeedback is suitable or effective for it.

Research Papers

EEG-Neurofeedback as a Tool to Modulate Cognition and Behavior: A Review Tutorial

Enriquez-Geppert, Stefanie, Huster, René J., Herrmann, Christoph S. (2017) · Frontiers in Human Neuroscience

Neurofeedback is attracting renewed interest as a method to self-regulate one’s own brain activity to directly alter the underlying neural mechanisms of cognition and behavior. It not only promises new avenues as a method for cognitive enhancement in healthy subjects, but also as a therapeutic tool. In the current article, we present a review tutorial discussing key aspects relevant to the development of electroencephalography (EEG) neurofeedback studies. In addition, the putative mechanisms underlying neurofeedback learning are considered. We highlight both aspects relevant for the practical application of neurofeedback as well as rather theoretical considerations related to the development of new generation protocols. Important characteristics regarding the set-up of a neurofeedback protocol are outlined in a step-by-step way. All these practical and theoretical considerations are illustrated based on a protocol and results of a frontal-midline theta up-regulation training for the improvement of executive functions. Not least, assessment criteria for the validation of neurofeedback studies as well as general guidelines for the evaluation of training efficacy are discussed.

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Neurofeedback: A promising tool for the self-regulation of emotion networks

Johnston, S.J., Boehm, S.G., Healy, D., Goebel, R., Linden, D.E.J. (2010) · NeuroImage

Real-time functional magnetic resonance imaging (fMRI) affords the opportunity to explore the feasibility of self-regulation of functional brain networks through neurofeedback. We localised emotion networks individually in thirteen participants using fMRI and trained them to upregulate target areas, including the insula and amygdala. Participants achieved a high degree of control of these networks after a brief training period. We observed activation increases during periods of upregulation of emotion networks in the precuneus and medial prefrontal cortex and, with increasing training success, in the ventral striatum. These findings demonstrate the feasibility of fMRI-based neurofeedback of emotion networks and suggest a possible development into a therapeutic tool.

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