Developments of Methods for Information Decoding and Manipulation from Subcortical Prosocial System
Description: In this study, we aimed to develop a method to predict various characteristics of subjects by extracting amygdala activity patterns common to the subjects. As a result of the fMRI experiment in this study, the activity of the prefrontal area, which is the center of higher cognitive function of the cerebral cortex, expresses "guilt" and the activity of the amygdala, which is a subcortical area, "inequity". We also conducted tDCS experiment on the prefrontal area and found that guilt aversion but not inequity aversion increased.In addition, we obtained new results indicating that the amygdala activity pattern in correlation with "inequity" predicts current and future (one- year later) depression tendency.
Amount: ¥41,860,000
Funding type: research
Funder scheme: Grant-in-Aid for Scientific Research (A)
Start date: 2014-04-01
End date: 2019-03-31
Investigator: Masahiko Haruno
Institution: National Institute of Information and Communications Technology
Funded outputs count: 6
Funder award ID: 26242087
OpenAlex ID: G87378461