Computational Psychiatry Research Map (CPSYMAP): A New Database for Visualizing Research Papers
The field of computational psychiatry is growing in prominence along with recent advances in computational neuroscience, machine learning, and the cumulative scientific understanding of psychiatric disorders. Computational approaches based on cutting-edge technologies and high-dimensional data are e...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-12-01
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| Series: | Frontiers in Psychiatry |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2020.578706/full |
| _version_ | 1818646977925087232 |
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| author | Ayaka Kato Ayaka Kato Ayaka Kato Yoshihiko Kunisato Kentaro Katahira Tsukasa Okimura Yuichi Yamashita |
| author_facet | Ayaka Kato Ayaka Kato Ayaka Kato Yoshihiko Kunisato Kentaro Katahira Tsukasa Okimura Yuichi Yamashita |
| author_sort | Ayaka Kato |
| collection | DOAJ |
| description | The field of computational psychiatry is growing in prominence along with recent advances in computational neuroscience, machine learning, and the cumulative scientific understanding of psychiatric disorders. Computational approaches based on cutting-edge technologies and high-dimensional data are expected to provide an understanding of psychiatric disorders with integrating the notions of psychology and neuroscience, and to contribute to clinical practices. However, the multidisciplinary nature of this field seems to limit the development of computational psychiatry studies. Computational psychiatry combines knowledge from neuroscience, psychiatry, and computation; thus, there is an emerging need for a platform to integrate and coordinate these perspectives. In this study, we developed a new database for visualizing research papers as a two-dimensional “map” called the Computational Psychiatry Research Map (CPSYMAP). This map shows the distribution of papers along neuroscientific, psychiatric, and computational dimensions to enable anyone to find niche research and deepen their understanding ofthe field. |
| first_indexed | 2024-12-17T00:55:13Z |
| format | Article |
| id | doaj.art-cf0f26b2763b4f13894849092490bb42 |
| institution | Directory Open Access Journal |
| issn | 1664-0640 |
| language | English |
| last_indexed | 2024-12-17T00:55:13Z |
| publishDate | 2020-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj.art-cf0f26b2763b4f13894849092490bb422022-12-21T22:09:38ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402020-12-011110.3389/fpsyt.2020.578706578706Computational Psychiatry Research Map (CPSYMAP): A New Database for Visualizing Research PapersAyaka Kato0Ayaka Kato1Ayaka Kato2Yoshihiko Kunisato3Kentaro Katahira4Tsukasa Okimura5Yuichi Yamashita6Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, JapanLaboratory for Circuit Mechanisms of Sensory Perception, RIKEN Center for Brain Science, Wako, JapanResearch Fellowship for Young Scientists, Japan Society for the Promotion of Science, Tokyo, JapanDepartment of Psychology, Senshu University, Kawasaki, JapanDepartment of Psychological and Cognitive Sciences, Nagoya University, Nagoya, JapanDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, JapanDepartment of Information Medicine, National Center of Neurology and Psychiatry, National Institute of Neuroscience, Tokyo, JapanThe field of computational psychiatry is growing in prominence along with recent advances in computational neuroscience, machine learning, and the cumulative scientific understanding of psychiatric disorders. Computational approaches based on cutting-edge technologies and high-dimensional data are expected to provide an understanding of psychiatric disorders with integrating the notions of psychology and neuroscience, and to contribute to clinical practices. However, the multidisciplinary nature of this field seems to limit the development of computational psychiatry studies. Computational psychiatry combines knowledge from neuroscience, psychiatry, and computation; thus, there is an emerging need for a platform to integrate and coordinate these perspectives. In this study, we developed a new database for visualizing research papers as a two-dimensional “map” called the Computational Psychiatry Research Map (CPSYMAP). This map shows the distribution of papers along neuroscientific, psychiatric, and computational dimensions to enable anyone to find niche research and deepen their understanding ofthe field.https://www.frontiersin.org/articles/10.3389/fpsyt.2020.578706/fullcomputational psychiatrydatabaseopen-scienceRDoC = Research Domain CriteriaDSM-5neuroscience |
| spellingShingle | Ayaka Kato Ayaka Kato Ayaka Kato Yoshihiko Kunisato Kentaro Katahira Tsukasa Okimura Yuichi Yamashita Computational Psychiatry Research Map (CPSYMAP): A New Database for Visualizing Research Papers Frontiers in Psychiatry computational psychiatry database open-science RDoC = Research Domain Criteria DSM-5 neuroscience |
| title | Computational Psychiatry Research Map (CPSYMAP): A New Database for Visualizing Research Papers |
| title_full | Computational Psychiatry Research Map (CPSYMAP): A New Database for Visualizing Research Papers |
| title_fullStr | Computational Psychiatry Research Map (CPSYMAP): A New Database for Visualizing Research Papers |
| title_full_unstemmed | Computational Psychiatry Research Map (CPSYMAP): A New Database for Visualizing Research Papers |
| title_short | Computational Psychiatry Research Map (CPSYMAP): A New Database for Visualizing Research Papers |
| title_sort | computational psychiatry research map cpsymap a new database for visualizing research papers |
| topic | computational psychiatry database open-science RDoC = Research Domain Criteria DSM-5 neuroscience |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2020.578706/full |
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