Assessment of the capacity to modulate brain signals in a home-based SMR neurofeedback training setting

Electroencephalogram (EEG)-based neurofeedback (NF) is mainly used in clinical settings as a therapeutic intervention or to optimize performance in healthy individuals. Home-based NF systems are available and might facilitate general access to NF training, especially when repeated training sessions...

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Main Authors: Miriam Autenrieth, Silvia Erika Kober, Guilherme Wood
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Human Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2022.1032222/full
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author Miriam Autenrieth
Silvia Erika Kober
Silvia Erika Kober
Guilherme Wood
Guilherme Wood
author_facet Miriam Autenrieth
Silvia Erika Kober
Silvia Erika Kober
Guilherme Wood
Guilherme Wood
author_sort Miriam Autenrieth
collection DOAJ
description Electroencephalogram (EEG)-based neurofeedback (NF) is mainly used in clinical settings as a therapeutic intervention or to optimize performance in healthy individuals. Home-based NF systems are available and might facilitate general access to NF training, especially when repeated training sessions are necessary. However, it remains an open question whether NF training at home is possible without remote monitoring. In the present study, we assessed the capacity of healthy individuals to modulate their own EEG activity when using a home-based NF training system in a comparable manner as if participants had purchased a commercially available NF system. Participants’ face-to-face contact with experimenters was reduced to a minimum, and instructions were provided only in the form of written information or videos. Initially, 38 participants performed 9 sessions of sensorimotor rhythm (SMR) (12–15 Hz) based NF training (three generalization sessions, six training sessions). An active control group (n = 19) received feedback on random EEG frequencies. Because of technical problems, bad EEG data quality, or non-compliance, 21 participants had to be excluded from the final data analysis, providing first evidence for the difficulties of non-supervised home-based NF training. In this study, participants were not able to modulate their own brain activity in a desired direction during NF training. Our results indicate that personal interaction with a NF expert might be of relevance and that remote supervision of the training data and more direct communication with the NF users are necessary to enable successful NF training performance. We provide suggestions for the development and implementation of home-based NF systems.
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spelling doaj.art-1e96c071632b4aff8178c9724e88c6ef2023-01-05T16:56:34ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612023-01-011610.3389/fnhum.2022.10322221032222Assessment of the capacity to modulate brain signals in a home-based SMR neurofeedback training settingMiriam Autenrieth0Silvia Erika Kober1Silvia Erika Kober2Guilherme Wood3Guilherme Wood4Institute of Psychology, University of Graz, Graz, AustriaInstitute of Psychology, University of Graz, Graz, AustriaBioTechMed-Graz, Graz, AustriaInstitute of Psychology, University of Graz, Graz, AustriaBioTechMed-Graz, Graz, AustriaElectroencephalogram (EEG)-based neurofeedback (NF) is mainly used in clinical settings as a therapeutic intervention or to optimize performance in healthy individuals. Home-based NF systems are available and might facilitate general access to NF training, especially when repeated training sessions are necessary. However, it remains an open question whether NF training at home is possible without remote monitoring. In the present study, we assessed the capacity of healthy individuals to modulate their own EEG activity when using a home-based NF training system in a comparable manner as if participants had purchased a commercially available NF system. Participants’ face-to-face contact with experimenters was reduced to a minimum, and instructions were provided only in the form of written information or videos. Initially, 38 participants performed 9 sessions of sensorimotor rhythm (SMR) (12–15 Hz) based NF training (three generalization sessions, six training sessions). An active control group (n = 19) received feedback on random EEG frequencies. Because of technical problems, bad EEG data quality, or non-compliance, 21 participants had to be excluded from the final data analysis, providing first evidence for the difficulties of non-supervised home-based NF training. In this study, participants were not able to modulate their own brain activity in a desired direction during NF training. Our results indicate that personal interaction with a NF expert might be of relevance and that remote supervision of the training data and more direct communication with the NF users are necessary to enable successful NF training performance. We provide suggestions for the development and implementation of home-based NF systems.https://www.frontiersin.org/articles/10.3389/fnhum.2022.1032222/fullneurofeedbackhome-basedmental strategiesEEGgeneralizationtransfer
spellingShingle Miriam Autenrieth
Silvia Erika Kober
Silvia Erika Kober
Guilherme Wood
Guilherme Wood
Assessment of the capacity to modulate brain signals in a home-based SMR neurofeedback training setting
Frontiers in Human Neuroscience
neurofeedback
home-based
mental strategies
EEG
generalization
transfer
title Assessment of the capacity to modulate brain signals in a home-based SMR neurofeedback training setting
title_full Assessment of the capacity to modulate brain signals in a home-based SMR neurofeedback training setting
title_fullStr Assessment of the capacity to modulate brain signals in a home-based SMR neurofeedback training setting
title_full_unstemmed Assessment of the capacity to modulate brain signals in a home-based SMR neurofeedback training setting
title_short Assessment of the capacity to modulate brain signals in a home-based SMR neurofeedback training setting
title_sort assessment of the capacity to modulate brain signals in a home based smr neurofeedback training setting
topic neurofeedback
home-based
mental strategies
EEG
generalization
transfer
url https://www.frontiersin.org/articles/10.3389/fnhum.2022.1032222/full
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