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Connectivity changes underlying neurofeedback training of visual cortex activity

Scharnowski, F; Rosa, MJ; Golestani, N; Hutton, C; Josephs, O; Weiskopf, N; Rees, G; (2014) Connectivity changes underlying neurofeedback training of visual cortex activity. PLOS One , 9 (3) , Article e91090. 10.1371/journal.pone.0091090. Green open access

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Abstract

Neurofeedback based on real-time functional magnetic resonance imaging (fMRI) is a new approach that allows training of voluntary control over regionally specific brain activity. However, the neural basis of successful neurofeedback learning remains poorly understood. Here, we assessed changes in effective brain connectivity associated with neurofeedback training of visual cortex activity. Using dynamic causal modeling (DCM), we found that training participants to increase visual cortex activity was associated with increased effective connectivity between the visual cortex and the superior parietal lobe. Specifically, participants who learned to control activity in their visual cortex showed increased top-down control of the superior parietal lobe over the visual cortex, and at the same time reduced bottom-up processing. These results are consistent with efficient employment of top-down visual attention and imagery, which were the cognitive strategies used by participants to increase their visual cortex activity.

Type: Article
Title: Connectivity changes underlying neurofeedback training of visual cortex activity
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0091090
Publisher version: http://dx.doi.org/10.1371/journal.pone.0091090
Language: English
Additional information: Copyright © 2014 Scharnowski et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: Adolescent, Adult, Bayes Theorem, Female, Humans, Male, Models, Neurological, Nerve Net, Neurofeedback, Visual Cortex, Young Adult
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/1424924
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