Cargando…

Self-Regulation of Amygdala Activation Using Real-Time fMRI Neurofeedback

Real-time functional magnetic resonance imaging (rtfMRI) with neurofeedback allows investigation of human brain neuroplastic changes that arise as subjects learn to modulate neurophysiological function using real-time feedback regarding their own hemodynamic responses to stimuli. We investigated the...

Descripción completa

Detalles Bibliográficos
Autores principales: Zotev, Vadim, Krueger, Frank, Phillips, Raquel, Alvarez, Ruben P., Simmons, W. Kyle, Bellgowan, Patrick, Drevets, Wayne C., Bodurka, Jerzy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3169601/
https://www.ncbi.nlm.nih.gov/pubmed/21931738
http://dx.doi.org/10.1371/journal.pone.0024522
_version_ 1782211516416655360
author Zotev, Vadim
Krueger, Frank
Phillips, Raquel
Alvarez, Ruben P.
Simmons, W. Kyle
Bellgowan, Patrick
Drevets, Wayne C.
Bodurka, Jerzy
author_facet Zotev, Vadim
Krueger, Frank
Phillips, Raquel
Alvarez, Ruben P.
Simmons, W. Kyle
Bellgowan, Patrick
Drevets, Wayne C.
Bodurka, Jerzy
author_sort Zotev, Vadim
collection PubMed
description Real-time functional magnetic resonance imaging (rtfMRI) with neurofeedback allows investigation of human brain neuroplastic changes that arise as subjects learn to modulate neurophysiological function using real-time feedback regarding their own hemodynamic responses to stimuli. We investigated the feasibility of training healthy humans to self-regulate the hemodynamic activity of the amygdala, which plays major roles in emotional processing. Participants in the experimental group were provided with ongoing information about the blood oxygen level dependent (BOLD) activity in the left amygdala (LA) and were instructed to raise the BOLD rtfMRI signal by contemplating positive autobiographical memories. A control group was assigned the same task but was instead provided with sham feedback from the left horizontal segment of the intraparietal sulcus (HIPS) region. In the LA, we found a significant BOLD signal increase due to rtfMRI neurofeedback training in the experimental group versus the control group. This effect persisted during the Transfer run without neurofeedback. For the individual subjects in the experimental group the training effect on the LA BOLD activity correlated inversely with scores on the Difficulty Identifying Feelings subscale of the Toronto Alexithymia Scale. The whole brain data analysis revealed significant differences for Happy Memories versus Rest condition between the experimental and control groups. Functional connectivity analysis of the amygdala network revealed significant widespread correlations in a fronto-temporo-limbic network. Additionally, we identified six regions — right medial frontal polar cortex, bilateral dorsomedial prefrontal cortex, left anterior cingulate cortex, and bilateral superior frontal gyrus — where the functional connectivity with the LA increased significantly across the rtfMRI neurofeedback runs and the Transfer run. The findings demonstrate that healthy subjects can learn to regulate their amygdala activation using rtfMRI neurofeedback, suggesting possible applications of rtfMRI neurofeedback training in the treatment of patients with neuropsychiatric disorders.
format Online
Article
Text
id pubmed-3169601
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-31696012011-09-19 Self-Regulation of Amygdala Activation Using Real-Time fMRI Neurofeedback Zotev, Vadim Krueger, Frank Phillips, Raquel Alvarez, Ruben P. Simmons, W. Kyle Bellgowan, Patrick Drevets, Wayne C. Bodurka, Jerzy PLoS One Research Article Real-time functional magnetic resonance imaging (rtfMRI) with neurofeedback allows investigation of human brain neuroplastic changes that arise as subjects learn to modulate neurophysiological function using real-time feedback regarding their own hemodynamic responses to stimuli. We investigated the feasibility of training healthy humans to self-regulate the hemodynamic activity of the amygdala, which plays major roles in emotional processing. Participants in the experimental group were provided with ongoing information about the blood oxygen level dependent (BOLD) activity in the left amygdala (LA) and were instructed to raise the BOLD rtfMRI signal by contemplating positive autobiographical memories. A control group was assigned the same task but was instead provided with sham feedback from the left horizontal segment of the intraparietal sulcus (HIPS) region. In the LA, we found a significant BOLD signal increase due to rtfMRI neurofeedback training in the experimental group versus the control group. This effect persisted during the Transfer run without neurofeedback. For the individual subjects in the experimental group the training effect on the LA BOLD activity correlated inversely with scores on the Difficulty Identifying Feelings subscale of the Toronto Alexithymia Scale. The whole brain data analysis revealed significant differences for Happy Memories versus Rest condition between the experimental and control groups. Functional connectivity analysis of the amygdala network revealed significant widespread correlations in a fronto-temporo-limbic network. Additionally, we identified six regions — right medial frontal polar cortex, bilateral dorsomedial prefrontal cortex, left anterior cingulate cortex, and bilateral superior frontal gyrus — where the functional connectivity with the LA increased significantly across the rtfMRI neurofeedback runs and the Transfer run. The findings demonstrate that healthy subjects can learn to regulate their amygdala activation using rtfMRI neurofeedback, suggesting possible applications of rtfMRI neurofeedback training in the treatment of patients with neuropsychiatric disorders. Public Library of Science 2011-09-08 /pmc/articles/PMC3169601/ /pubmed/21931738 http://dx.doi.org/10.1371/journal.pone.0024522 Text en Zotev et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Zotev, Vadim
Krueger, Frank
Phillips, Raquel
Alvarez, Ruben P.
Simmons, W. Kyle
Bellgowan, Patrick
Drevets, Wayne C.
Bodurka, Jerzy
Self-Regulation of Amygdala Activation Using Real-Time fMRI Neurofeedback
title Self-Regulation of Amygdala Activation Using Real-Time fMRI Neurofeedback
title_full Self-Regulation of Amygdala Activation Using Real-Time fMRI Neurofeedback
title_fullStr Self-Regulation of Amygdala Activation Using Real-Time fMRI Neurofeedback
title_full_unstemmed Self-Regulation of Amygdala Activation Using Real-Time fMRI Neurofeedback
title_short Self-Regulation of Amygdala Activation Using Real-Time fMRI Neurofeedback
title_sort self-regulation of amygdala activation using real-time fmri neurofeedback
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3169601/
https://www.ncbi.nlm.nih.gov/pubmed/21931738
http://dx.doi.org/10.1371/journal.pone.0024522
work_keys_str_mv AT zotevvadim selfregulationofamygdalaactivationusingrealtimefmrineurofeedback
AT kruegerfrank selfregulationofamygdalaactivationusingrealtimefmrineurofeedback
AT phillipsraquel selfregulationofamygdalaactivationusingrealtimefmrineurofeedback
AT alvarezrubenp selfregulationofamygdalaactivationusingrealtimefmrineurofeedback
AT simmonswkyle selfregulationofamygdalaactivationusingrealtimefmrineurofeedback
AT bellgowanpatrick selfregulationofamygdalaactivationusingrealtimefmrineurofeedback
AT drevetswaynec selfregulationofamygdalaactivationusingrealtimefmrineurofeedback
AT bodurkajerzy selfregulationofamygdalaactivationusingrealtimefmrineurofeedback