Elucidation of causality between flactuation of kansei-preference and neuronal plasticity

2018 Fiscal Year Final Research Report

• Project/Area Number: 15K16080
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Kansei informatics
• Research Institution: Tokyo Institute of Technology (2016-2018); National Center of Neurology and Psychiatry (2015)
• Principal Investigator: Yousuke Ogata 東京工業大学, 科学技術創成研究院, 特任助教 (60641355)
• Research Collaborator: Katsui Yu ; Maruyama Yasuhisa ; Tsuji Shota ; Miyamoto Yasutaka ; Yoshimura Natsue ; Koike Yasuharu
• Project Period (FY): 2015-04-01 – 2019-03-31
• Keywords: 好意度 / 感性的評価 / ニューロフィードバック / fMRI

Outline of Final Research Achievements

The　results showed that the tendency of the effect of the neurofeedback seems to increase by changing the timing of the feedback for each individual. And we succeeded in predicting the degree of preference from 200 ms to 400 ms event-related potential　EEG components by using a machine learning algorithm.
From these results, brain activity information that may be involved in change of preference needs a component of a relatively early part from stimulus presentation. Thus, these results suggest that to perform accurate neurofeedback in fMRI, it is necessary to use temporal component information derived from EEG or rapid imaging method of fMRI with millisecond order.

Free Research Field

認知神経心理学

Academic Significance and Societal Importance of the Research Achievements

本研究は好感度という感性的主観評価に対し、脳活動・脳可塑性の変化を非侵襲的に誘発しその変容過程を明らかにする初めての研究であり、得られた知見から好ましさを変化させるという技術が開発されれば、外的刺激や行動に対して好ましさを誘発させる事が可能になる。その技術は心的外傷後遺症、恐怖症、強迫神経症など精神疾患の治療技術として発展する可能性があり、医療面にも貢献が期待される。