Self-regulation of the brain's right frontal Beta rhythm using a brain-computer interface.


Journal

Psychophysiology
ISSN: 1540-5958
Titre abrégé: Psychophysiology
Pays: United States
ID NLM: 0142657

Informations de publication

Date de publication:
11 2022
Historique:
revised: 22 02 2022
received: 02 12 2021
accepted: 02 05 2022
pubmed: 3 6 2022
medline: 6 10 2022
entrez: 2 6 2022
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 35652562
doi: 10.1111/psyp.14115
pmc: PMC9786254
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e14115

Informations de copyright

© 2022 The Authors. Psychophysiology published by Wiley Periodicals LLC on behalf of Society for Psychophysiological Research.

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Auteurs

Nadja Enz (N)

School of Psychology, Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.

Jemima Schmidt (J)

School of Psychology, Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.

Kate Nolan (K)

School of Psychology, Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.

Matthew Mitchell (M)

School of Psychology, Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.

Sandra Alvarez Gomez (S)

School of Psychology, Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.

Miryam Alkayyali (M)

School of Psychology, Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.

Pierce Cambay (P)

School of Psychology, Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.

Magdalena Gippert (M)

School of Psychology, Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.

Robert Whelan (R)

School of Psychology, Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland.

Kathy Ruddy (K)

School of Psychology, Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.

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Classifications MeSH