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Modulation of Intrinsic Brain Connectivity by Implicit Electroencephalographic Neurofeedback
Despite the increasing popularity of neurofeedback, its mechanisms of action are still poorly understood. This study aims to describe the processes underlying implicit electroencephalographic neurofeedback. Fifty-two healthy volunteers were randomly assigned to a single session of infra-low frequenc...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324903/ https://www.ncbi.nlm.nih.gov/pubmed/32655386 http://dx.doi.org/10.3389/fnhum.2020.00192 |
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author | Dobrushina, Olga R. Vlasova, Roza M. Rumshiskaya, Alena D. Litvinova, Liudmila D. Mershina, Elena A. Sinitsyn, Valentin E. Pechenkova, Ekaterina V. |
author_facet | Dobrushina, Olga R. Vlasova, Roza M. Rumshiskaya, Alena D. Litvinova, Liudmila D. Mershina, Elena A. Sinitsyn, Valentin E. Pechenkova, Ekaterina V. |
author_sort | Dobrushina, Olga R. |
collection | PubMed |
description | Despite the increasing popularity of neurofeedback, its mechanisms of action are still poorly understood. This study aims to describe the processes underlying implicit electroencephalographic neurofeedback. Fifty-two healthy volunteers were randomly assigned to a single session of infra-low frequency neurofeedback or sham neurofeedback, with electrodes over the right middle temporal gyrus and the right inferior parietal lobule. They observed a moving rocket, the speed of which was modulated by the waveform derived from a band-limited infra-low frequency filter. Immediately before and after the session, the participants underwent a resting-state fMRI. Network-based statistical analysis was applied, comparing post- vs. pre-session and real vs. sham neurofeedback conditions. As a result, two phenomena were observed. First, we described a brain circuit related to the implicit neurofeedback process itself, consisting of the lateral occipital cortex, right dorsolateral prefrontal cortex, left orbitofrontal cortex, right ventral striatum, and bilateral dorsal striatum. Second, we found increased connectivity between key regions of the salience, language, and visual networks, which is indicative of integration in sensory processing. Thus, it appears that a single session of implicit infra-low frequency electroencephalographic neurofeedback leads to significant changes in intrinsic brain connectivity. |
format | Online Article Text |
id | pubmed-7324903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73249032020-07-10 Modulation of Intrinsic Brain Connectivity by Implicit Electroencephalographic Neurofeedback Dobrushina, Olga R. Vlasova, Roza M. Rumshiskaya, Alena D. Litvinova, Liudmila D. Mershina, Elena A. Sinitsyn, Valentin E. Pechenkova, Ekaterina V. Front Hum Neurosci Human Neuroscience Despite the increasing popularity of neurofeedback, its mechanisms of action are still poorly understood. This study aims to describe the processes underlying implicit electroencephalographic neurofeedback. Fifty-two healthy volunteers were randomly assigned to a single session of infra-low frequency neurofeedback or sham neurofeedback, with electrodes over the right middle temporal gyrus and the right inferior parietal lobule. They observed a moving rocket, the speed of which was modulated by the waveform derived from a band-limited infra-low frequency filter. Immediately before and after the session, the participants underwent a resting-state fMRI. Network-based statistical analysis was applied, comparing post- vs. pre-session and real vs. sham neurofeedback conditions. As a result, two phenomena were observed. First, we described a brain circuit related to the implicit neurofeedback process itself, consisting of the lateral occipital cortex, right dorsolateral prefrontal cortex, left orbitofrontal cortex, right ventral striatum, and bilateral dorsal striatum. Second, we found increased connectivity between key regions of the salience, language, and visual networks, which is indicative of integration in sensory processing. Thus, it appears that a single session of implicit infra-low frequency electroencephalographic neurofeedback leads to significant changes in intrinsic brain connectivity. Frontiers Media S.A. 2020-06-23 /pmc/articles/PMC7324903/ /pubmed/32655386 http://dx.doi.org/10.3389/fnhum.2020.00192 Text en Copyright © 2020 Dobrushina, Vlasova, Rumshiskaya, Litvinova, Mershina, Sinitsyn and Pechenkova. 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 or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) 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 | Human Neuroscience Dobrushina, Olga R. Vlasova, Roza M. Rumshiskaya, Alena D. Litvinova, Liudmila D. Mershina, Elena A. Sinitsyn, Valentin E. Pechenkova, Ekaterina V. Modulation of Intrinsic Brain Connectivity by Implicit Electroencephalographic Neurofeedback |
title | Modulation of Intrinsic Brain Connectivity by Implicit Electroencephalographic Neurofeedback |
title_full | Modulation of Intrinsic Brain Connectivity by Implicit Electroencephalographic Neurofeedback |
title_fullStr | Modulation of Intrinsic Brain Connectivity by Implicit Electroencephalographic Neurofeedback |
title_full_unstemmed | Modulation of Intrinsic Brain Connectivity by Implicit Electroencephalographic Neurofeedback |
title_short | Modulation of Intrinsic Brain Connectivity by Implicit Electroencephalographic Neurofeedback |
title_sort | modulation of intrinsic brain connectivity by implicit electroencephalographic neurofeedback |
topic | Human Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324903/ https://www.ncbi.nlm.nih.gov/pubmed/32655386 http://dx.doi.org/10.3389/fnhum.2020.00192 |
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