Development for decoding sysytem of attractiveness

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The purpose of this study was to decode individual feeling of attractiveness from brain imaging data under daily life situation. Firstly, we measured brain activity while watching pictures of animals and objects, and found an area in the medial frontal cortex was specifically related to attractive pictures. Then, we measured activity of the frontal cortex during the same task by multi-channel near infrared spectroscopy (NIRs), and found feeling of attractiveness could be decoded by machine learning on a channel located to the center of forehead. Finally, we measured brain activity by a ultra-small wearable NIRs under daily living situation, and found brain activity increased when a subject felt attractiveness during communication with other people.