Literature DB >> 24231399

Self-regulation of the anterior insula: Reinforcement learning using real-time fMRI neurofeedback.

Emma J Lawrence1, Li Su2, Gareth J Barker3, Nick Medford4, Jeffrey Dalton3, Steve C R Williams3, Niels Birbaumer5, Ralf Veit5, Sitaram Ranganatha5, Jerzy Bodurka6, Michael Brammer3, Vincent Giampietro3, Anthony S David7.   

Abstract

The anterior insula (AI) plays a key role in affective processing, and insular dysfunction has been noted in several clinical conditions. Real-time functional MRI neurofeedback (rtfMRI-NF) provides a means of helping people learn to self-regulate activation in this brain region. Using the Blood Oxygenated Level Dependant (BOLD) signal from the right AI (RAI) as neurofeedback, we trained participants to increase RAI activation. In contrast, another group of participants was shown 'control' feedback from another brain area. Pre- and post-training affective probes were shown, with subjective ratings and skin conductance response (SCR) measured. We also investigated a reward-related reinforcement learning model of rtfMRI-NF. In contrast to the controls, we hypothesised a positive linear increase in RAI activation in participants shown feedback from this region, alongside increases in valence ratings and SCR to affective probes. Hypothesis-driven analyses showed a significant interaction between the RAI/control neurofeedback groups and the effect of self-regulation. Whole-brain analyses revealed a significant linear increase in RAI activation across four training runs in the group who received feedback from RAI. Increased activation was also observed in the caudate body and thalamus, likely representing feedback-related learning. No positive linear trend was observed in the RAI in the group receiving control feedback, suggesting that these data are not a general effect of cognitive strategy or control feedback. The control group did, however, show diffuse activation across the putamen, caudate and posterior insula which may indicate the representation of false feedback. No significant training-related behavioural differences were observed for valence ratings, or SCR. In addition, correlational analyses based on a reinforcement learning model showed that the dorsal anterior cingulate cortex underpinned learning in both groups. In summary, these data demonstrate that it is possible to regulate the RAI using rtfMRI-NF within one scanning session, and that such reward-related learning is mediated by the dorsal anterior cingulate.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Emotion; Insula; Neurofeedback; Real-time fMRI; Reinforcement learning; Self-regulation

Mesh:

Year:  2013        PMID: 24231399     DOI: 10.1016/j.neuroimage.2013.10.069

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  30 in total

1.  Real-time fMRI neurofeedback of the mediodorsal and anterior thalamus enhances correlation between thalamic BOLD activity and alpha EEG rhythm.

Authors:  Vadim Zotev; Masaya Misaki; Raquel Phillips; Chung Ki Wong; Jerzy Bodurka
Journal:  Hum Brain Mapp       Date:  2017-11-27       Impact factor: 5.038

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3.  Covert neurofeedback without awareness shapes cortical network spontaneous connectivity.

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Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-11       Impact factor: 11.205

4.  How feedback, motor imagery, and reward influence brain self-regulation using real-time fMRI.

Authors:  Pradyumna Sepulveda; Ranganatha Sitaram; Mohit Rana; Cristian Montalba; Cristian Tejos; Sergio Ruiz
Journal:  Hum Brain Mapp       Date:  2016-06-06       Impact factor: 5.038

Review 5.  Application of Research Domain Criteria to childhood and adolescent impulsive and addictive disorders: Implications for treatment.

Authors:  Sarah W Yip; Marc N Potenza
Journal:  Clin Psychol Rev       Date:  2016-11-09

6.  Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studies.

Authors:  Bettina Sorger; Frank Scharnowski; David E J Linden; Michelle Hampson; Kymberly D Young
Journal:  Neuroimage       Date:  2018-11-10       Impact factor: 6.556

7.  Cognitive impairment in substance use disorders.

Authors:  Tatiana Ramey; Paul S Regier
Journal:  CNS Spectr       Date:  2018-12-28       Impact factor: 3.790

8.  Restoring large-scale brain networks in PTSD and related disorders: a proposal for neuroscientifically-informed treatment interventions.

Authors:  Ruth A Lanius; Paul A Frewen; Mischa Tursich; Rakesh Jetly; Margaret C McKinnon
Journal:  Eur J Psychotraumatol       Date:  2015-03-31

9.  Anterior insular cortex regulation in autism spectrum disorders.

Authors:  Andrea Caria; Simona de Falco
Journal:  Front Behav Neurosci       Date:  2015-03-06       Impact factor: 3.558

10.  Cognitive and neural strategies during control of the anterior cingulate cortex by fMRI neurofeedback in patients with schizophrenia.

Authors:  Julia S Cordes; Krystyna A Mathiak; Miriam Dyck; Eliza M Alawi; Tilman J Gaber; Florian D Zepf; Martin Klasen; Mikhail Zvyagintsev; Ruben C Gur; Klaus Mathiak
Journal:  Front Behav Neurosci       Date:  2015-06-25       Impact factor: 3.558

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