Literature DB >> 23499994

Modulation of frontal-midline theta by neurofeedback.

Stefanie Enriquez-Geppert1, René J Huster2, Robert Scharfenort3, Zacharais N Mokom3, Jörg Zimmermann4, Christoph S Herrmann5.   

Abstract

Cortical oscillations demonstrate a relationship with cognition. Moreover, they also exhibit associations with task performance and psychiatric mental disorders. This being the case, the modification of oscillations has become one of the key interests of neuroscientific approaches for cognitive enhancement. For such kind of alterations, neurofeedback (NF) of brain activity constitutes a promising tool. Concerning specific higher cognitive functions, frontal-midline theta (fm-theta) has been suggested as an important indicator of relevant brain processes. This paper presents a novel approach for an individualized, eight-session NF training to enhance fm-theta. An individual's dominant fm-theta frequency was determined based on experiments tapping executive functions. Effects of the actual NF training were compared to a pseudo-NF training. Participants of the pseudo-NF training experienced a comparable degree of motivation and commitment as the subjects of the actual NF training, but found the "training" slightly easier. In comparison to the pseudo-NF training, proper NF training significantly enhanced fm-theta amplitude in the actual training sessions, as well as during the whole course of training. However, unspecific changes in the alpha and beta frequency ranges found with both the actual NF and the pseudo-NF training groups emphasize the relevance of active control groups for neurofeedback studies.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Fm-theta; Individualized training; Neurofeedback

Mesh:

Year:  2013        PMID: 23499994     DOI: 10.1016/j.biopsycho.2013.02.019

Source DB:  PubMed          Journal:  Biol Psychol        ISSN: 0301-0511            Impact factor:   3.251


  39 in total

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3.  On the relevance of EEG resting theta activity for the neurophysiological dynamics underlying motor inhibitory control.

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5.  Functional near-infrared spectroscopy-based affective neurofeedback: feedback effect, illiteracy phenomena, and whole-connectivity profiles.

Authors:  Lucas R Trambaiolli; Claudinei E Biazoli; André M Cravo; Tiago H Falk; João R Sato
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6.  Time course of EEG oscillations during repeated listening of a well-known aria.

Authors:  Lutz Jäncke; Jürg Kühnis; Lars Rogenmoser; Stefan Elmer
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7.  The morphology of midcingulate cortex predicts frontal-midline theta neurofeedback success.

Authors:  Stefanie Enriquez-Geppert; René J Huster; Robert Scharfenort; Zacharais N Mokom; Johannes Vosskuhl; Christian Figge; Jörg Zimmermann; Christoph S Herrmann
Journal:  Front Hum Neurosci       Date:  2013-08-09       Impact factor: 3.169

8.  Group-level component analyses of EEG: validation and evaluation.

Authors:  Rene J Huster; Sergey M Plis; Vince D Calhoun
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9.  Resting and Initial Beta Amplitudes Predict Learning Ability in Beta/Theta Ratio Neurofeedback Training in Healthy Young Adults.

Authors:  Wenya Nan; Feng Wan; Mang I Vai; Agostinho C Da Rosa
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Review 10.  Hypothesis-driven methods to augment human cognition by optimizing cortical oscillations.

Authors:  Jörn M Horschig; Johanna M Zumer; Ali Bahramisharif
Journal:  Front Syst Neurosci       Date:  2014-06-26
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