Megumi, F;
Yamashita, A;
Kawato, M;
Imamizu, H;
(2015)
Functional MRI neurofeedback training on connectivity between two regions induces long-lasting changes in intrinsic functional network.
Frontiers in Human Neuroscience
, 9
, Article 160. 10.3389/fnhum.2015.00160.
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Abstract
Motor or perceptual learning is known to influence functional connectivity between brain regions and induce short-term changes in the intrinsic functional networks revealed as correlations in slow blood-oxygen-level dependent (BOLD) signal fluctuations. However, no cause-and-effect relationship has been elucidated between a specific change in connectivity and a long-term change in global networks. Here, we examine the hypothesis that functional connectivity (i.e., temporal correlation between two regions) is increased and preserved for a long time when two regions are simultaneously activated or deactivated. Using the connectivity-neurofeedback training paradigm, subjects successfully learned to increase the correlation of activity between the lateral parietal and primary motor areas, regions that belong to different intrinsic networks and negatively correlated before training under the resting conditions. Furthermore, whole-brain hypothesis-free analysis as well as functional network analyses demonstrated that the correlation in the resting state between these areas as well as the correlation between the intrinsic networks that include the areas increased for at least 2 months. These findings indicate that the connectivity-neurofeedback training can cause long-term changes in intrinsic connectivity and that intrinsic networks can be shaped by experience-driven modulation of regional correlation.
Type: | Article |
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Title: | Functional MRI neurofeedback training on connectivity between two regions induces long-lasting changes in intrinsic functional network |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.3389/fnhum.2015.00160 |
Publisher version: | http://dx.doi.org/10.3389/fnhum.2015.00160 |
Additional information: | Copyright © 2015 Megumi, Yamashita, Kawato and Imamizu. 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) or licensor 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. |
Keywords: | Functional MRI neurofeedback, intrinsic functional network, resting state functional connectivity, long-lasting changes, default mode network |
UCL classification: | UCL > Provost and Vice Provost Offices 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 > Div of Psychology and Lang Sciences |
URI: | https://discovery.ucl.ac.uk/id/eprint/1470097 |
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