Literature DB >> 10999235

Neurofeedback--the significance of reinforcement and the search for an appropriate strategy for the success of self-regulation.

M Siniatchkin1, P Kropp, W D Gerber.   

Abstract

Nine healthy children took part in five sessions of feedback and instrumental conditioning of slow cortical potentials (SCPs). The feedback conditions (the relation between the feedback signal and amplitude of SCP) were inverted after two sessions. Neither the children nor the therapists were aware of this change. The adjustment of the children to the new feedback setting and the self-regulation strategies employed were investigated. The results were as follows: (a) Healthy children achieved control over cortical negativity within two sessions. (b) The change of feedback conditions worsened the regulation abilities, which then improved again within the following three sessions. (c) After the first two sessions, the participants were able to describe strategies that were successful during different phases of self-regulation. (d) Following the change in the feedback conditions, the children reevaluated the way they influenced their SCPs. However, they did not alter the cognitive or behavioral strategies. The study demonstrated that positive and negative reinforcement and the knowledge of results are more important for successful self-regulation than the search for effective strategies. The relevance of these findings is discussed.

Entities:  

Mesh:

Year:  2000        PMID: 10999235     DOI: 10.1023/a:1009502808906

Source DB:  PubMed          Journal:  Appl Psychophysiol Biofeedback        ISSN: 1090-0586


  14 in total

Review 1.  Closed-loop brain training: the science of neurofeedback.

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

2.  Real time fMRI feedback of the anterior cingulate and posterior insular cortex in the processing of pain.

Authors:  Mariela Rance; Michaela Ruttorf; Frauke Nees; Lothar Rudi Schad; Herta Flor
Journal:  Hum Brain Mapp       Date:  2014-07-16       Impact factor: 5.038

3.  The importance of self-efficacy and negative affect for neurofeedback success for central neuropathic pain after a spinal cord injury.

Authors:  Krithika Anil; Sara Demain; Jane Burridge; David Simpson; Julian Taylor; Imogen Cotter; Aleksandra Vuckovic
Journal:  Sci Rep       Date:  2022-06-29       Impact factor: 4.996

4.  Improving visual perception through neurofeedback.

Authors:  Frank Scharnowski; Chloe Hutton; Oliver Josephs; Nikolaus Weiskopf; Geraint Rees
Journal:  J Neurosci       Date:  2012-12-05       Impact factor: 6.167

5.  Manipulating motor performance and memory through real-time fMRI neurofeedback.

Authors:  Frank Scharnowski; Ralf Veit; Regine Zopf; Petra Studer; Simon Bock; Jörn Diedrichsen; Rainer Goebel; Klaus Mathiak; Niels Birbaumer; Nikolaus Weiskopf
Journal:  Biol Psychol       Date:  2015-03-18       Impact factor: 3.251

6.  What learning theories can teach us in designing neurofeedback treatments.

Authors:  Ute Strehl
Journal:  Front Hum Neurosci       Date:  2014-11-06       Impact factor: 3.169

7.  Neurofeedback learning modifies the incidence rate of alpha spindles, but not their duration and amplitude.

Authors:  Alexei Ossadtchi; Tatiana Shamaeva; Elizaveta Okorokova; Victoria Moiseeva; Mikhail A Lebedev
Journal:  Sci Rep       Date:  2017-06-19       Impact factor: 4.379

8.  Slow Cortical Potential Neurofeedback in Chronic Tinnitus Therapy: A Case Report.

Authors:  Rafał Milner; Monika Lewandowska; Małgorzata Ganc; Katarzyna Cieśla; Iwona Niedziałek; Henryk Skarżyński
Journal:  Appl Psychophysiol Biofeedback       Date:  2016-06

9.  Reinforcement and Punishment Shape the Learning Dynamics in fMRI Neurofeedback.

Authors:  Manfred Klöbl; Paul Michenthaler; Godber Mathis Godbersen; Simon Robinson; Andreas Hahn; Rupert Lanzenberger
Journal:  Front Hum Neurosci       Date:  2020-07-24       Impact factor: 3.169

10.  The Influence of Physiological and Psychological Learning Mechanisms in Neurofeedback vs. Mental Imagery Against Binge Eating.

Authors:  Jennifer Schmidt; Alexandra Martin
Journal:  Appl Psychophysiol Biofeedback       Date:  2020-09-29
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