Cargando…
Source-based neurofeedback methods using EEG recordings: training altered brain activity in a functional brain source derived from blind source separation
A developing literature explores the use of neurofeedback in the treatment of a range of clinical conditions, particularly ADHD and epilepsy, whilst neurofeedback also provides an experimental tool for studying the functional significance of endogenous brain activity. A critical component of any neu...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4205806/ https://www.ncbi.nlm.nih.gov/pubmed/25374520 http://dx.doi.org/10.3389/fnbeh.2014.00373 |
_version_ | 1782340720420454400 |
---|---|
author | White, David J. Congedo, Marco Ciorciari, Joseph |
author_facet | White, David J. Congedo, Marco Ciorciari, Joseph |
author_sort | White, David J. |
collection | PubMed |
description | A developing literature explores the use of neurofeedback in the treatment of a range of clinical conditions, particularly ADHD and epilepsy, whilst neurofeedback also provides an experimental tool for studying the functional significance of endogenous brain activity. A critical component of any neurofeedback method is the underlying physiological signal which forms the basis for the feedback. While the past decade has seen the emergence of fMRI-based protocols training spatially confined BOLD activity, traditional neurofeedback has utilized a small number of electrode sites on the scalp. As scalp EEG at a given electrode site reflects a linear mixture of activity from multiple brain sources and artifacts, efforts to successfully acquire some level of control over the signal may be confounded by these extraneous sources. Further, in the event of successful training, these traditional neurofeedback methods are likely influencing multiple brain regions and processes. The present work describes the use of source-based signal processing methods in EEG neurofeedback. The feasibility and potential utility of such methods were explored in an experiment training increased theta oscillatory activity in a source derived from Blind Source Separation (BSS) of EEG data obtained during completion of a complex cognitive task (spatial navigation). Learned increases in theta activity were observed in two of the four participants to complete 20 sessions of neurofeedback targeting this individually defined functional brain source. Source-based EEG neurofeedback methods using BSS may offer important advantages over traditional neurofeedback, by targeting the desired physiological signal in a more functionally and spatially specific manner. Having provided preliminary evidence of the feasibility of these methods, future work may study a range of clinically and experimentally relevant brain processes where individual brain sources may be targeted by source-based EEG neurofeedback. |
format | Online Article Text |
id | pubmed-4205806 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-42058062014-11-05 Source-based neurofeedback methods using EEG recordings: training altered brain activity in a functional brain source derived from blind source separation White, David J. Congedo, Marco Ciorciari, Joseph Front Behav Neurosci Neuroscience A developing literature explores the use of neurofeedback in the treatment of a range of clinical conditions, particularly ADHD and epilepsy, whilst neurofeedback also provides an experimental tool for studying the functional significance of endogenous brain activity. A critical component of any neurofeedback method is the underlying physiological signal which forms the basis for the feedback. While the past decade has seen the emergence of fMRI-based protocols training spatially confined BOLD activity, traditional neurofeedback has utilized a small number of electrode sites on the scalp. As scalp EEG at a given electrode site reflects a linear mixture of activity from multiple brain sources and artifacts, efforts to successfully acquire some level of control over the signal may be confounded by these extraneous sources. Further, in the event of successful training, these traditional neurofeedback methods are likely influencing multiple brain regions and processes. The present work describes the use of source-based signal processing methods in EEG neurofeedback. The feasibility and potential utility of such methods were explored in an experiment training increased theta oscillatory activity in a source derived from Blind Source Separation (BSS) of EEG data obtained during completion of a complex cognitive task (spatial navigation). Learned increases in theta activity were observed in two of the four participants to complete 20 sessions of neurofeedback targeting this individually defined functional brain source. Source-based EEG neurofeedback methods using BSS may offer important advantages over traditional neurofeedback, by targeting the desired physiological signal in a more functionally and spatially specific manner. Having provided preliminary evidence of the feasibility of these methods, future work may study a range of clinically and experimentally relevant brain processes where individual brain sources may be targeted by source-based EEG neurofeedback. Frontiers Media S.A. 2014-10-22 /pmc/articles/PMC4205806/ /pubmed/25374520 http://dx.doi.org/10.3389/fnbeh.2014.00373 Text en Copyright © 2014 White, Congedo and Ciorciari. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution and reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience White, David J. Congedo, Marco Ciorciari, Joseph Source-based neurofeedback methods using EEG recordings: training altered brain activity in a functional brain source derived from blind source separation |
title | Source-based neurofeedback methods using EEG recordings: training altered brain activity in a functional brain source derived from blind source separation |
title_full | Source-based neurofeedback methods using EEG recordings: training altered brain activity in a functional brain source derived from blind source separation |
title_fullStr | Source-based neurofeedback methods using EEG recordings: training altered brain activity in a functional brain source derived from blind source separation |
title_full_unstemmed | Source-based neurofeedback methods using EEG recordings: training altered brain activity in a functional brain source derived from blind source separation |
title_short | Source-based neurofeedback methods using EEG recordings: training altered brain activity in a functional brain source derived from blind source separation |
title_sort | source-based neurofeedback methods using eeg recordings: training altered brain activity in a functional brain source derived from blind source separation |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4205806/ https://www.ncbi.nlm.nih.gov/pubmed/25374520 http://dx.doi.org/10.3389/fnbeh.2014.00373 |
work_keys_str_mv | AT whitedavidj sourcebasedneurofeedbackmethodsusingeegrecordingstrainingalteredbrainactivityinafunctionalbrainsourcederivedfromblindsourceseparation AT congedomarco sourcebasedneurofeedbackmethodsusingeegrecordingstrainingalteredbrainactivityinafunctionalbrainsourcederivedfromblindsourceseparation AT ciorciarijoseph sourcebasedneurofeedbackmethodsusingeegrecordingstrainingalteredbrainactivityinafunctionalbrainsourcederivedfromblindsourceseparation |