Progressive modulation of resting-state brain activity during neurofeedback of positive-social emotion regulation networks

Abstract Neurofeedback allows for the self-regulation of brain circuits implicated in specific maladaptive behaviors, leading to persistent changes in brain activity and connectivity. Positive-social emotion regulation neurofeedback enhances emotion regulation capabilities, which is critical for red...

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Autores principales:	Marina Krylova, Stavros Skouras, Adeel Razi, Andrew A. Nicholson, Alexander Karner, David Steyrl, Olga Boukrina, Geraint Rees, Frank Scharnowski, Yury Koush
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a53ad83be1d943d6b52884cc4db9b90d
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spelling	oai:doaj.org-article:a53ad83be1d943d6b52884cc4db9b90d2021-12-05T12:16:18ZProgressive modulation of resting-state brain activity during neurofeedback of positive-social emotion regulation networks10.1038/s41598-021-02079-42045-2322https://doaj.org/article/a53ad83be1d943d6b52884cc4db9b90d2021-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-02079-4https://doaj.org/toc/2045-2322Abstract Neurofeedback allows for the self-regulation of brain circuits implicated in specific maladaptive behaviors, leading to persistent changes in brain activity and connectivity. Positive-social emotion regulation neurofeedback enhances emotion regulation capabilities, which is critical for reducing the severity of various psychiatric disorders. Training dorsomedial prefrontal cortex (dmPFC) to exert a top-down influence on bilateral amygdala during positive-social emotion regulation progressively (linearly) modulates connectivity within the trained network and induces positive mood. However, the processes during rest that interleave the neurofeedback training remain poorly understood. We hypothesized that short resting periods at the end of training sessions of positive-social emotion regulation neurofeedback would show alterations within emotion regulation and neurofeedback learning networks. We used complementary model-based and data-driven approaches to assess how resting-state connectivity relates to neurofeedback changes at the end of training sessions. In the experimental group, we found lower progressive dmPFC self-inhibition and an increase of connectivity in networks engaged in emotion regulation, neurofeedback learning, visuospatial processing, and memory. Our findings highlight a large-scale synergy between neurofeedback and resting-state brain activity and connectivity changes within the target network and beyond. This work contributes to our understanding of concomitant learning mechanisms post training and facilitates development of efficient neurofeedback training.Marina KrylovaStavros SkourasAdeel RaziAndrew A. NicholsonAlexander KarnerDavid SteyrlOlga BoukrinaGeraint ReesFrank ScharnowskiYury KoushNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Marina Krylova Stavros Skouras Adeel Razi Andrew A. Nicholson Alexander Karner David Steyrl Olga Boukrina Geraint Rees Frank Scharnowski Yury Koush Progressive modulation of resting-state brain activity during neurofeedback of positive-social emotion regulation networks
description	Abstract Neurofeedback allows for the self-regulation of brain circuits implicated in specific maladaptive behaviors, leading to persistent changes in brain activity and connectivity. Positive-social emotion regulation neurofeedback enhances emotion regulation capabilities, which is critical for reducing the severity of various psychiatric disorders. Training dorsomedial prefrontal cortex (dmPFC) to exert a top-down influence on bilateral amygdala during positive-social emotion regulation progressively (linearly) modulates connectivity within the trained network and induces positive mood. However, the processes during rest that interleave the neurofeedback training remain poorly understood. We hypothesized that short resting periods at the end of training sessions of positive-social emotion regulation neurofeedback would show alterations within emotion regulation and neurofeedback learning networks. We used complementary model-based and data-driven approaches to assess how resting-state connectivity relates to neurofeedback changes at the end of training sessions. In the experimental group, we found lower progressive dmPFC self-inhibition and an increase of connectivity in networks engaged in emotion regulation, neurofeedback learning, visuospatial processing, and memory. Our findings highlight a large-scale synergy between neurofeedback and resting-state brain activity and connectivity changes within the target network and beyond. This work contributes to our understanding of concomitant learning mechanisms post training and facilitates development of efficient neurofeedback training.
format	article
author	Marina Krylova Stavros Skouras Adeel Razi Andrew A. Nicholson Alexander Karner David Steyrl Olga Boukrina Geraint Rees Frank Scharnowski Yury Koush
author_facet	Marina Krylova Stavros Skouras Adeel Razi Andrew A. Nicholson Alexander Karner David Steyrl Olga Boukrina Geraint Rees Frank Scharnowski Yury Koush
author_sort	Marina Krylova
title	Progressive modulation of resting-state brain activity during neurofeedback of positive-social emotion regulation networks
title_short	Progressive modulation of resting-state brain activity during neurofeedback of positive-social emotion regulation networks
title_full	Progressive modulation of resting-state brain activity during neurofeedback of positive-social emotion regulation networks
title_fullStr	Progressive modulation of resting-state brain activity during neurofeedback of positive-social emotion regulation networks
title_full_unstemmed	Progressive modulation of resting-state brain activity during neurofeedback of positive-social emotion regulation networks
title_sort	progressive modulation of resting-state brain activity during neurofeedback of positive-social emotion regulation networks
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a53ad83be1d943d6b52884cc4db9b90d
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Progressive modulation of resting-state brain activity during neurofeedback of positive-social emotion regulation networks

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