Relating brain structure images to personality characteristics using 3D convolution neural network

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 d...

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Bibliographic Details
Published in:CAAI Transactions on Intelligence Technology 2021-09, Vol.6 (3), p.338-346
Main Authors: Cao, Lixian, Liang, Yanchun, Lv, Wei, Park, Kaechang, Miura, Yasuhiro, Shinomiya, Yuki, Yoshida, Shinichi
Format: Article
Language:English
Subjects:
Artificial neural networks
Brain
Brain research
Experiments
Machine learning
Medical research
Neural networks
Neuroimaging
Personal property
Personality
Personality traits
Questionnaires
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Summary: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.
ISSN:2468-2322
2468-2322
DOI:10.1049/cit2.12021