Using brain-computer interfaces to induce neural plasticity and restore function
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Updated: Jun 3, 2026

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
Published on: August 24, 2017
Moritz Grosse-Wentrup1, Donatella Mattia, Karim Oweiss
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Spemannstrasse 38, 72076 Tübingen, Germany. moritzgw@ieee.org
Abstract:
Analyzing neural signals and providing feedback in realtime is one of the core characteristics of a brain-computer interface (BCI). As this feature may be employed to induce neural plasticity, utilizing BCI technology for therapeutic purposes is increasingly gaining popularity in the BCI community. In this paper, we discuss the state-of-the-art of research on this topic, address the principles of and challenges in inducing neural plasticity by means of a BCI, and delineate the problems of study design and outcome evaluation arising in this context. We conclude with a list of open questions and recommendations for future research in this field.
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