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Self‐regulation of the brain's right frontal Beta rhythm using a brain‐computer interface
Neural oscillations, or brain rhythms, fluctuate in a manner reflecting ongoing behavior. Whether these fluctuations are instrumental or epiphenomenal to the behavior remains elusive. Attempts to experimentally manipulate neural oscillations exogenously using noninvasive brain stimulation have shown...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9786254/ https://www.ncbi.nlm.nih.gov/pubmed/35652562 http://dx.doi.org/10.1111/psyp.14115 |
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author | Enz, Nadja Schmidt, Jemima Nolan, Kate Mitchell, Matthew Alvarez Gomez, Sandra Alkayyali, Miryam Cambay, Pierce Gippert, Magdalena Whelan, Robert Ruddy, Kathy |
author_facet | Enz, Nadja Schmidt, Jemima Nolan, Kate Mitchell, Matthew Alvarez Gomez, Sandra Alkayyali, Miryam Cambay, Pierce Gippert, Magdalena Whelan, Robert Ruddy, Kathy |
author_sort | Enz, Nadja |
collection | PubMed |
description | Neural oscillations, or brain rhythms, fluctuate in a manner reflecting ongoing behavior. Whether these fluctuations are instrumental or epiphenomenal to the behavior remains elusive. Attempts to experimentally manipulate neural oscillations exogenously using noninvasive brain stimulation have shown some promise, but difficulty with tailoring stimulation parameters to individuals has hindered progress in this field. We demonstrate here using electroencephalography (EEG) neurofeedback in a brain‐computer interface that human participants (n = 44) learned over multiple sessions across a 6‐day period to self‐regulate their Beta rhythm (13–20 Hz), either up or down, over the right inferior frontal cortex. Training to downregulate Beta was more effective than training to upregulate Beta. The modulation was evident only during neurofeedback task performance but did not lead to offline alteration of Beta rhythm characteristics at rest, nor to changes in subsequent cognitive behavior. Likewise, a control group (n = 38) who underwent training to up or downregulate the Alpha rhythm (8–12 Hz) did not exhibit behavioral changes. Although the right frontal Beta rhythm has been repeatedly implicated as a key component of the brain's inhibitory control system, the present data suggest that its manipulation offline prior to cognitive task performance does not result in behavioral change in healthy individuals. Whether this form of neurofeedback training could serve as a useful therapeutic target for disorders with dysfunctional inhibitory control as their basis remains to be tested in a context where performance is abnormally poor and neural dynamics are different. |
format | Online Article Text |
id | pubmed-9786254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97862542022-12-27 Self‐regulation of the brain's right frontal Beta rhythm using a brain‐computer interface Enz, Nadja Schmidt, Jemima Nolan, Kate Mitchell, Matthew Alvarez Gomez, Sandra Alkayyali, Miryam Cambay, Pierce Gippert, Magdalena Whelan, Robert Ruddy, Kathy Psychophysiology Original Articles Neural oscillations, or brain rhythms, fluctuate in a manner reflecting ongoing behavior. Whether these fluctuations are instrumental or epiphenomenal to the behavior remains elusive. Attempts to experimentally manipulate neural oscillations exogenously using noninvasive brain stimulation have shown some promise, but difficulty with tailoring stimulation parameters to individuals has hindered progress in this field. We demonstrate here using electroencephalography (EEG) neurofeedback in a brain‐computer interface that human participants (n = 44) learned over multiple sessions across a 6‐day period to self‐regulate their Beta rhythm (13–20 Hz), either up or down, over the right inferior frontal cortex. Training to downregulate Beta was more effective than training to upregulate Beta. The modulation was evident only during neurofeedback task performance but did not lead to offline alteration of Beta rhythm characteristics at rest, nor to changes in subsequent cognitive behavior. Likewise, a control group (n = 38) who underwent training to up or downregulate the Alpha rhythm (8–12 Hz) did not exhibit behavioral changes. Although the right frontal Beta rhythm has been repeatedly implicated as a key component of the brain's inhibitory control system, the present data suggest that its manipulation offline prior to cognitive task performance does not result in behavioral change in healthy individuals. Whether this form of neurofeedback training could serve as a useful therapeutic target for disorders with dysfunctional inhibitory control as their basis remains to be tested in a context where performance is abnormally poor and neural dynamics are different. John Wiley and Sons Inc. 2022-06-02 2022-11 /pmc/articles/PMC9786254/ /pubmed/35652562 http://dx.doi.org/10.1111/psyp.14115 Text en © 2022 The Authors. Psychophysiology published by Wiley Periodicals LLC on behalf of Society for Psychophysiological Research. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Articles Enz, Nadja Schmidt, Jemima Nolan, Kate Mitchell, Matthew Alvarez Gomez, Sandra Alkayyali, Miryam Cambay, Pierce Gippert, Magdalena Whelan, Robert Ruddy, Kathy Self‐regulation of the brain's right frontal Beta rhythm using a brain‐computer interface |
title | Self‐regulation of the brain's right frontal Beta rhythm using a brain‐computer interface |
title_full | Self‐regulation of the brain's right frontal Beta rhythm using a brain‐computer interface |
title_fullStr | Self‐regulation of the brain's right frontal Beta rhythm using a brain‐computer interface |
title_full_unstemmed | Self‐regulation of the brain's right frontal Beta rhythm using a brain‐computer interface |
title_short | Self‐regulation of the brain's right frontal Beta rhythm using a brain‐computer interface |
title_sort | self‐regulation of the brain's right frontal beta rhythm using a brain‐computer interface |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9786254/ https://www.ncbi.nlm.nih.gov/pubmed/35652562 http://dx.doi.org/10.1111/psyp.14115 |
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