H J Engelbregt1, D Keeser2, L van Eijk3, E M Suiker4, D Eichhorn3, S Karch2, J B Deijen5, O Pogarell2. 1. Hersencentrum, Amsterdam, The Netherlands; Dept. of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany. Electronic address: hessel@hersencentrum.nl. 2. Dept. of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany. 3. Hersencentrum, Amsterdam, The Netherlands; VU University, Department of Clinical Neuropsychology, Amsterdam, The Netherlands. 4. Hersencentrum, Amsterdam, The Netherlands. 5. VU University, Department of Clinical Neuropsychology, Amsterdam, The Netherlands.
Abstract
OBJECTIVE: In this study we evaluated long-term effects of frontal beta EEG-neurofeedback training (E-NFT) on healthy subjects. We hypothesized that E-NFT can change frontal beta activity in the long-term and that changes in frontal beta EEG activity are accompanied by altered cognitive performance. METHODS:25 healthy subjects were included and randomly assigned to active or sham E-NFT. On average the subjects underwent 15 E-NFT training sessions with a training duration of 45 min. Resting-state EEG was recorded prior to E-NFT training (t1) and in a 3-year follow-up (t3). RESULTS: Compared to sham E-NFT, which was used for the control group, real E-NFT increased beta activity in a predictable way. This increase was maintained over a period of three years post training. However, E-NFT did not result in significantly improved cognitive performance. CONCLUSION: Based on our results, we conclude that EEG-NFT can selectively modify EEG beta activity both in short and long-term. SIGNIFICANCE: This is a sham controlled EEG neurofeedback study demonstrating long-term effects in resting state EEG.
RCT Entities:
OBJECTIVE: In this study we evaluated long-term effects of frontal beta EEG-neurofeedback training (E-NFT) on healthy subjects. We hypothesized that E-NFT can change frontal beta activity in the long-term and that changes in frontal beta EEG activity are accompanied by altered cognitive performance. METHODS: 25 healthy subjects were included and randomly assigned to active or sham E-NFT. On average the subjects underwent 15 E-NFT training sessions with a training duration of 45 min. Resting-state EEG was recorded prior to E-NFT training (t1) and in a 3-year follow-up (t3). RESULTS: Compared to sham E-NFT, which was used for the control group, real E-NFT increased beta activity in a predictable way. This increase was maintained over a period of three years post training. However, E-NFT did not result in significantly improved cognitive performance. CONCLUSION: Based on our results, we conclude that EEG-NFT can selectively modify EEG beta activity both in short and long-term. SIGNIFICANCE: This is a sham controlled EEG neurofeedback study demonstrating long-term effects in resting state EEG.
Authors: Ranganatha Sitaram; Tomas Ros; Luke Stoeckel; Sven Haller; Frank Scharnowski; Jarrod Lewis-Peacock; Nikolaus Weiskopf; Maria Laura Blefari; Mohit Rana; Ethan Oblak; Niels Birbaumer; James Sulzer Journal: Nat Rev Neurosci Date: 2016-12-22 Impact factor: 34.870
Authors: Mariela Rance; Christopher Walsh; Denis G Sukhodolsky; Brian Pittman; Maolin Qiu; Stephen A Kichuk; Suzanne Wasylink; William N Koller; Michael Bloch; Patricia Gruner; Dustin Scheinost; Christopher Pittenger; Michelle Hampson Journal: Neuroimage Date: 2018-05-02 Impact factor: 6.556
Authors: Andrew A Nicholson; Tomas Ros; Paul A Frewen; Maria Densmore; Jean Théberge; Rosemarie C Kluetsch; Rakesh Jetly; Ruth A Lanius Journal: Neuroimage Clin Date: 2016-07-14 Impact factor: 4.881