Cited by 137EEG and Brain-Computer InterfacesBehavioral and Psychological StudiesNeural and Behavioral Psychology Studies

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

What learning theories can teach us in designing neurofeedback treatments

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Strehl, Ute·2014·Frontiers in Human Neuroscience

Abstract

Popular definitions of neurofeedback point out that neurofeedback is a process of operant conditioning which leads to self-regulation of brain activity. Self-regulation of brain activity is considered to be a skill. The aim of this paper is to clarify that not only operant conditioning plays a role in the acquisition of this skill. In order to design the learning process additional references have to be derived from classical conditioning, two-process-theory and in particular from skill learning and research into motivational aspects. The impact of learning by trial and error, cueing of behavior, feedback, reinforcement, and knowledge of results as well as transfer of self-regulation skills into everyday life will be analyzed in this paper. In addition to these learning theory basics this paper tries to summarize the knowledge about acquisition of self-regulation from neurofeedback studies with a main emphasis on clinical populations. As a conclusion it is hypothesized that learning to self-regulate has to be offered in a psychotherapeutic, i.e., behavior therapy framework.

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Research works printed but not linked: 8

  1. Blume, 2012, Neurofeedbacktraining bei Kindern mit einer Aufmerksamkeitsdefizit-/Hyperaktivitätsstörung (ADHS): Eine Untersuchung der Trainingsverläufe mit dem Versuch der Klassifikation von Lernern und Nicht-Lernern.
  2. Fitts, 1967, Human Performance.
  3. Holzapfel, 1998, PräDiktoren der Selbstregulation der Langsamen Hirnpotentiale bei Epilepsie
  4. Kamiya, 1966, Trained Control of EEG Alpha Frequency in Humans.
  5. Kisil, 1992, Rückmeldung und Modifikation Langsamer Hirnrindenpotentiale.
  6. Kisil, 1992, Biofeedback langsamer Hirnpotentiale, Z. Exp. Angew. Psychol., 39, 216
  7. Neumann, 2001, Gehirn-Computer-Schnittstelle: Einflussfaktoren der Selbstregulation Langsamer Kortikaler Hirnpotentiale.
  8. Strehl, 2013, Lerntheoretische grundlagen und überlegungen zum neurofeedback, 13

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Metadata

Authors
Strehl, U.
Affiliations
University of Tübingen (DE)
Corresponding author
Strehl, Ute
Venue
Frontiers in Human Neuroscience
Published
2014-11-06
Volume
8
Pages
894-894
ISSN
1662-5161 (ISSN-L)
OpenAlex
W2038534511
Cited by
137
References
53
Citations by year
2026: 10 · 2025: 7 · 2024: 10 · 2023: 9 · 2022: 12 · 2021: 13 · 2020: 14 · 2019: 16 · 2018: 15 · 2017: 13 · 2016: 9 · 2015: 7
FWCI
5.39
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Frontiers in Human Neuroscience (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Deutsche Forschungsgemeinschaft (2503/4-2, STR 597/7-1, 597/7-1)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Social Sciences › Psychology › Developmental and Educational Psychology › Behavioral and Psychological Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords
neurofeedback, learning theory, operant conditioning, classical conditioning, two-process theory, skill acquisition, self-regulation of brain activity, motivation, trial-and-error learning, feedback, reinforcement, knowledge of results, behavior therapy, clinical populations

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