Open AccessRelating brain structure images to personality characteristics using 3D convolution neural network
Author(s) -
Cao Lixian,
Liang Yanchun,
Lv Wei,
Park Kaechang,
Miura Yasuhiro,
Shinomiya Yuki,
Yoshida Shinichi
Publication year - 2021
Publication title -
caai transactions on intelligence technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.613
H-Index - 15
ISSN - 2468-2322
DOI - 10.1049/cit2.12021
Subject(s) - personality , convolutional neural network , personality psychology , artificial intelligence , convolution (computer science) , big five personality traits , psychology , network structure , artificial neural network , computer science , pattern recognition (psychology) , cognitive psychology , machine learning , social psychology
The Keras deep learning framework is employed to study MRI brain data in a preliminary analysis of brain structure using a convolutional neural network. The results obtained are matched with the content of personality questionnaires. The Big Five personality traits provide easy differentiation for dividing personalities into different groups. Until now, the highest accuracy obtained from the results of personality prediction from the analysis of brain structure is about 70%. Although there is still no effective evidence to prove a clear relationship between brain structure and personality, the obtained results could prove helpful in understanding the basic relationship between brain structure and personality characteristics.