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Abstract #4599

Improving attention through network-based neurofeedback training

Gustavo Pamplona1, Frank Scharnowski2, Yury Koush3, and Carlos Salmon1

1InBrain Lab, Department of Physics, Faculty of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, Brazil, 2Swiss Institute of Technology, University of Zürich, Zurich, Switzerland, 3Department of Radiology and Medical Imaging, Yale University, New Haven, CT, United States

Being able to sustain attention for longer without mind-wandering would improve our performance. The brain correlates underlying both sustained attention and mind-wandering – the so-called sustained attention and default mode networks, respectively – have been well identified. Nevertheless, this knowledge has not yet been translated in advanced brain-based attention training protocols. Here we propose to use a novel brain imaging technique based on real-time fMRI to provide participants with information about ongoing levels of activity. We thus purpose a neurofeedback training of this difference between brain networks, what could lead to a boost in sustained attention ability, which is not reported yet.

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