Decoded Neurofeedback for Extinction of Fear Memory

Abstract

Event Abstract Back to Event Decoded Neurofeedback for Extinction of Fear Memory Mitsuo Kawato1* and Ai Koizumi2* 1 ATR Computational Neuroscience Labs, Japan 2 ATR Computational Neuroscience Labs, Japan Combination of fMRI decoding (multi-voxel pattern analysis) and real-time fMRI neurofeedback led to "Decoded Neurofeedback" or DecNef. DecNef was applied to several basic neuroscience problems including visual perceptual learning (Shibata et al. 2011), phenomenal consciousness, facial preference, and confidence in visual discrimination. DecNef was also applied to clinical problems such as obsessive compulsive disorders with preliminary but promising success. Here, we introduce another possible clinical application for post-traumatic stress disorder. DecNef in sensory cortices successfuly suppressed amygdala activity related to fear memory, and also decreased behavioral fear responses (Koizumi, Amano, Cortese, Yoshida, Seymour, Kawato, Lau, unpublished data). Conference: 2015 International Workshop on Clinical Brain-Machine Interfaces (CBMI2015), Tokyo, Japan, 13 Mar - 15 Mar, 2015. Presentation Type: Oral presentation / lecture Topic: Clinical Brain-Machine Interfaces Citation: Kawato M and Koizumi A (2015). Decoded Neurofeedback for Extinction of Fear Memory. Conference Abstract: 2015 International Workshop on Clinical Brain-Machine Interfaces (CBMI2015). doi: 10.3389/conf.fnhum.2015.218.00023 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 23 Apr 2015; Published Online: 29 Apr 2015. * Correspondence: PhD. Mitsuo Kawato, ATR Computational Neuroscience Labs, Keihanna Science City, Kyoto, Japan, kawato@atr.jp Dr. Ai Koizumi, ATR Computational Neuroscience Labs, Keihanna Science City, Kyoto, Japan, bellkozumi@gmail.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Mitsuo Kawato Ai Koizumi Google Mitsuo Kawato Ai Koizumi Google Scholar Mitsuo Kawato Ai Koizumi PubMed Mitsuo Kawato Ai Koizumi Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.