Loading…
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...
Saved in:
| Published in: | CAAI Transactions on Intelligence Technology 2021-09, Vol.6 (3), p.338-346 |
|---|---|
| Main Authors: | , , , , , , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites Items that cite this one |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| cited_by | cdi_FETCH-LOGICAL-c5361-60239baefbeb9d524996671483ec1d1ac3fa38530c879f3069fa3aac1db5a483 |
|---|---|
| cites | cdi_FETCH-LOGICAL-c5361-60239baefbeb9d524996671483ec1d1ac3fa38530c879f3069fa3aac1db5a483 |
| container_end_page | 346 |
| container_issue | 3 |
| container_start_page | 338 |
| container_title | CAAI Transactions on Intelligence Technology |
| container_volume | 6 |
| creator | Cao, Lixian Liang, Yanchun Lv, Wei Park, Kaechang Miura, Yasuhiro Shinomiya, Yuki Yoshida, Shinichi |
| description | 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. |
| doi_str_mv | 10.1049/cit2.12021 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_3216ee01c4aa4eb5a76b78bfa7bf11d2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_3216ee01c4aa4eb5a76b78bfa7bf11d2</doaj_id><sourcerecordid>3091980246</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5361-60239baefbeb9d524996671483ec1d1ac3fa38530c879f3069fa3aac1db5a483</originalsourceid><addsrcrecordid>eNp9kVtLAzEQhRdRsFRf_AUB34TWXPaWR6m3QkGQvodJOltT101Nspb-e9OuiE8-TS7fOTPMybIrRqeM5vLW2MinjFPOTrIRz8t6wgXnp3_O59llCBtKKZNSFqIaZfoVW4i2WxPtwXYkRN-b2Hsk9gPWGEh0ZIs-uA5aG_fEvIEHE9HbEK0JpA8HrbgnxnVfru2jdR3psPfQphJ3zr9fZGcNtAEvf-o4Wz4-LGfPk8XL03x2t5iYQpRsUlIupAZsNGq5KnguZVlWLK8FGrZiYEQDoi4ENXUlG0FLme4A6U8XkKhxNh9sVw42auvT_H6vHFh1fHB-rcCnmVtUgrMSkTKTA-SY5FWpq1o3UOmGsRVPXteD19a7zx5DVBvX-7SCoASVTNY0rTRRNwNlvAvBY_PblVF1SEQdElHHRBLMBnhnW9z_Q6rZfMkHzTdFco7N</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3091980246</pqid></control><display><type>article</type><title>Relating brain structure images to personality characteristics using 3D convolution neural network</title><source>IET Digital Library</source><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><source>Wiley Online Library Open Access</source><creator>Cao, Lixian ; Liang, Yanchun ; Lv, Wei ; Park, Kaechang ; Miura, Yasuhiro ; Shinomiya, Yuki ; Yoshida, Shinichi</creator><creatorcontrib>Cao, Lixian ; Liang, Yanchun ; Lv, Wei ; Park, Kaechang ; Miura, Yasuhiro ; Shinomiya, Yuki ; Yoshida, Shinichi</creatorcontrib><description>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.</description><identifier>ISSN: 2468-2322</identifier><identifier>EISSN: 2468-2322</identifier><identifier>DOI: 10.1049/cit2.12021</identifier><language>eng</language><publisher>Beijing: John Wiley & Sons, Inc</publisher><subject>Artificial neural networks ; Brain ; Brain research ; Experiments ; Machine learning ; Medical research ; Neural networks ; Neuroimaging ; Personal property ; Personality ; Personality traits ; Questionnaires</subject><ispartof>CAAI Transactions on Intelligence Technology, 2021-09, Vol.6 (3), p.338-346</ispartof><rights>2021 The Authors. published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology and Chongqing University of Technology.</rights><rights>2021. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5361-60239baefbeb9d524996671483ec1d1ac3fa38530c879f3069fa3aac1db5a483</citedby><cites>FETCH-LOGICAL-c5361-60239baefbeb9d524996671483ec1d1ac3fa38530c879f3069fa3aac1db5a483</cites><orcidid>0000-0002-9610-7683</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1049%2Fcit2.12021$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3091980246?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,11562,25753,27924,27925,37012,44590,46052,46476</link.rule.ids></links><search><creatorcontrib>Cao, Lixian</creatorcontrib><creatorcontrib>Liang, Yanchun</creatorcontrib><creatorcontrib>Lv, Wei</creatorcontrib><creatorcontrib>Park, Kaechang</creatorcontrib><creatorcontrib>Miura, Yasuhiro</creatorcontrib><creatorcontrib>Shinomiya, Yuki</creatorcontrib><creatorcontrib>Yoshida, Shinichi</creatorcontrib><title>Relating brain structure images to personality characteristics using 3D convolution neural network</title><title>CAAI Transactions on Intelligence Technology</title><description>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.</description><subject>Artificial neural networks</subject><subject>Brain</subject><subject>Brain research</subject><subject>Experiments</subject><subject>Machine learning</subject><subject>Medical research</subject><subject>Neural networks</subject><subject>Neuroimaging</subject><subject>Personal property</subject><subject>Personality</subject><subject>Personality traits</subject><subject>Questionnaires</subject><issn>2468-2322</issn><issn>2468-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kVtLAzEQhRdRsFRf_AUB34TWXPaWR6m3QkGQvodJOltT101Nspb-e9OuiE8-TS7fOTPMybIrRqeM5vLW2MinjFPOTrIRz8t6wgXnp3_O59llCBtKKZNSFqIaZfoVW4i2WxPtwXYkRN-b2Hsk9gPWGEh0ZIs-uA5aG_fEvIEHE9HbEK0JpA8HrbgnxnVfru2jdR3psPfQphJ3zr9fZGcNtAEvf-o4Wz4-LGfPk8XL03x2t5iYQpRsUlIupAZsNGq5KnguZVlWLK8FGrZiYEQDoi4ENXUlG0FLme4A6U8XkKhxNh9sVw42auvT_H6vHFh1fHB-rcCnmVtUgrMSkTKTA-SY5FWpq1o3UOmGsRVPXteD19a7zx5DVBvX-7SCoASVTNY0rTRRNwNlvAvBY_PblVF1SEQdElHHRBLMBnhnW9z_Q6rZfMkHzTdFco7N</recordid><startdate>202109</startdate><enddate>202109</enddate><creator>Cao, Lixian</creator><creator>Liang, Yanchun</creator><creator>Lv, Wei</creator><creator>Park, Kaechang</creator><creator>Miura, Yasuhiro</creator><creator>Shinomiya, Yuki</creator><creator>Yoshida, Shinichi</creator><general>John Wiley & Sons, Inc</general><general>Wiley</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-9610-7683</orcidid></search><sort><creationdate>202109</creationdate><title>Relating brain structure images to personality characteristics using 3D convolution neural network</title><author>Cao, Lixian ; Liang, Yanchun ; Lv, Wei ; Park, Kaechang ; Miura, Yasuhiro ; Shinomiya, Yuki ; Yoshida, Shinichi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5361-60239baefbeb9d524996671483ec1d1ac3fa38530c879f3069fa3aac1db5a483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Artificial neural networks</topic><topic>Brain</topic><topic>Brain research</topic><topic>Experiments</topic><topic>Machine learning</topic><topic>Medical research</topic><topic>Neural networks</topic><topic>Neuroimaging</topic><topic>Personal property</topic><topic>Personality</topic><topic>Personality traits</topic><topic>Questionnaires</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cao, Lixian</creatorcontrib><creatorcontrib>Liang, Yanchun</creatorcontrib><creatorcontrib>Lv, Wei</creatorcontrib><creatorcontrib>Park, Kaechang</creatorcontrib><creatorcontrib>Miura, Yasuhiro</creatorcontrib><creatorcontrib>Shinomiya, Yuki</creatorcontrib><creatorcontrib>Yoshida, Shinichi</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley Online Library Free Content</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Directory of Open Access Journals</collection><jtitle>CAAI Transactions on Intelligence Technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cao, Lixian</au><au>Liang, Yanchun</au><au>Lv, Wei</au><au>Park, Kaechang</au><au>Miura, Yasuhiro</au><au>Shinomiya, Yuki</au><au>Yoshida, Shinichi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relating brain structure images to personality characteristics using 3D convolution neural network</atitle><jtitle>CAAI Transactions on Intelligence Technology</jtitle><date>2021-09</date><risdate>2021</risdate><volume>6</volume><issue>3</issue><spage>338</spage><epage>346</epage><pages>338-346</pages><issn>2468-2322</issn><eissn>2468-2322</eissn><abstract>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.</abstract><cop>Beijing</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1049/cit2.12021</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-9610-7683</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2468-2322 |
| ispartof | CAAI Transactions on Intelligence Technology, 2021-09, Vol.6 (3), p.338-346 |
| issn | 2468-2322 2468-2322 |
| language | eng |
| recordid | cdi_doaj_primary_oai_doaj_org_article_3216ee01c4aa4eb5a76b78bfa7bf11d2 |
| source | IET Digital Library; Publicly Available Content Database (Proquest) (PQ_SDU_P3); Wiley Online Library Open Access |
| subjects | Artificial neural networks Brain Brain research Experiments Machine learning Medical research Neural networks Neuroimaging Personal property Personality Personality traits Questionnaires |
| title | Relating brain structure images to personality characteristics using 3D convolution neural network |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T18%3A12%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Relating%20brain%20structure%20images%20to%20personality%20characteristics%20using%203D%20convolution%20neural%20network&rft.jtitle=CAAI%20Transactions%20on%20Intelligence%20Technology&rft.au=Cao,%20Lixian&rft.date=2021-09&rft.volume=6&rft.issue=3&rft.spage=338&rft.epage=346&rft.pages=338-346&rft.issn=2468-2322&rft.eissn=2468-2322&rft_id=info:doi/10.1049/cit2.12021&rft_dat=%3Cproquest_doaj_%3E3091980246%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c5361-60239baefbeb9d524996671483ec1d1ac3fa38530c879f3069fa3aac1db5a483%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3091980246&rft_id=info:pmid/&rfr_iscdi=true |