Trends in big data analyses by multicenter collaborative translational research in psychiatry.
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| Title: | Trends in big data analyses by multicenter collaborative translational research in psychiatry. |
|---|---|
| Authors: | Onitsuka, Toshiaki (AUTHOR), Hirano, Yoji (AUTHOR), Nemoto, Kiyotaka (AUTHOR), Hashimoto, Naoki (AUTHOR), Kushima, Itaru (AUTHOR), Koshiyama, Daisuke (AUTHOR), Koeda, Michihiko (AUTHOR), Takahashi, Tsutomu (AUTHOR), Noda, Yoshihiro (AUTHOR), Matsumoto, Junya (AUTHOR), Miura, Kenichiro (AUTHOR), Nakazawa, Takanobu (AUTHOR), Hikida, Takatoshi (AUTHOR), Kasai, Kiyoto (AUTHOR), Ozaki, Norio (AUTHOR), Hashimoto, Ryota (AUTHOR) |
| Source: | Psychiatry & Clinical Neurosciences. Jan2022, Vol. 76 Issue 1, p1-14. 14p. 2 Diagrams. |
| Subjects: | Psychiatric research, Translational research, Big data, Mental illness, Data analysis |
| Abstract: | The underlying pathologies of psychiatric disorders, which cause substantial personal and social losses, remain unknown, and their elucidation is an urgent issue. To clarify the core pathological mechanisms underlying psychiatric disorders, in addition to laboratory‐based research that incorporates the latest findings, it is necessary to conduct large‐sample‐size research and verify reproducibility. For this purpose, it is critical to conduct multicenter collaborative research across various fields, such as psychiatry, neuroscience, molecular biology, genomics, neuroimaging, cognitive science, neurophysiology, psychology, and pharmacology. Moreover, collaborative research plays an important role in the development of young researchers. In this respect, the Enhancing Neuroimaging Genetics through Meta‐Analysis (ENIGMA) consortium and Cognitive Genetics Collaborative Research Organization (COCORO) have played important roles. In this review, we first overview the importance of multicenter collaborative research and our target psychiatric disorders. Then, we introduce research findings on the pathophysiology of psychiatric disorders from neurocognitive, neurophysiological, neuroimaging, genetic, and basic neuroscience perspectives, focusing mainly on the findings obtained by COCORO. It is our hope that multicenter collaborative research will contribute to the elucidation of the pathological basis of psychiatric disorders. [ABSTRACT FROM AUTHOR] |
| Copyright of Psychiatry & Clinical Neurosciences is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 154579574 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Trends in big data analyses by multicenter collaborative translational research in psychiatry. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Onitsuka%2C+Toshiaki%22">Onitsuka, Toshiaki</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hirano%2C+Yoji%22">Hirano, Yoji</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nemoto%2C+Kiyotaka%22">Nemoto, Kiyotaka</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hashimoto%2C+Naoki%22">Hashimoto, Naoki</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kushima%2C+Itaru%22">Kushima, Itaru</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Koshiyama%2C+Daisuke%22">Koshiyama, Daisuke</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Koeda%2C+Michihiko%22">Koeda, Michihiko</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Takahashi%2C+Tsutomu%22">Takahashi, Tsutomu</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Noda%2C+Yoshihiro%22">Noda, Yoshihiro</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Matsumoto%2C+Junya%22">Matsumoto, Junya</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Miura%2C+Kenichiro%22">Miura, Kenichiro</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nakazawa%2C+Takanobu%22">Nakazawa, Takanobu</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hikida%2C+Takatoshi%22">Hikida, Takatoshi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kasai%2C+Kiyoto%22">Kasai, Kiyoto</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ozaki%2C+Norio%22">Ozaki, Norio</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hashimoto%2C+Ryota%22">Hashimoto, Ryota</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Psychiatry+%26+Clinical+Neurosciences%22">Psychiatry & Clinical Neurosciences</searchLink>. Jan2022, Vol. 76 Issue 1, p1-14. 14p. 2 Diagrams. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Psychiatric+research%22">Psychiatric research</searchLink><br /><searchLink fieldCode="DE" term="%22Translational+research%22">Translational research</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+illness%22">Mental illness</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The underlying pathologies of psychiatric disorders, which cause substantial personal and social losses, remain unknown, and their elucidation is an urgent issue. To clarify the core pathological mechanisms underlying psychiatric disorders, in addition to laboratory‐based research that incorporates the latest findings, it is necessary to conduct large‐sample‐size research and verify reproducibility. For this purpose, it is critical to conduct multicenter collaborative research across various fields, such as psychiatry, neuroscience, molecular biology, genomics, neuroimaging, cognitive science, neurophysiology, psychology, and pharmacology. Moreover, collaborative research plays an important role in the development of young researchers. In this respect, the Enhancing Neuroimaging Genetics through Meta‐Analysis (ENIGMA) consortium and Cognitive Genetics Collaborative Research Organization (COCORO) have played important roles. In this review, we first overview the importance of multicenter collaborative research and our target psychiatric disorders. Then, we introduce research findings on the pathophysiology of psychiatric disorders from neurocognitive, neurophysiological, neuroimaging, genetic, and basic neuroscience perspectives, focusing mainly on the findings obtained by COCORO. It is our hope that multicenter collaborative research will contribute to the elucidation of the pathological basis of psychiatric disorders. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Psychiatry & Clinical Neurosciences is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=154579574 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/pcn.13311 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1 Subjects: – SubjectFull: Psychiatric research Type: general – SubjectFull: Translational research Type: general – SubjectFull: Big data Type: general – SubjectFull: Mental illness Type: general – SubjectFull: Data analysis Type: general Titles: – TitleFull: Trends in big data analyses by multicenter collaborative translational research in psychiatry. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Onitsuka, Toshiaki – PersonEntity: Name: NameFull: Hirano, Yoji – PersonEntity: Name: NameFull: Nemoto, Kiyotaka – PersonEntity: Name: NameFull: Hashimoto, Naoki – PersonEntity: Name: NameFull: Kushima, Itaru – PersonEntity: Name: NameFull: Koshiyama, Daisuke – PersonEntity: Name: NameFull: Koeda, Michihiko – PersonEntity: Name: NameFull: Takahashi, Tsutomu – PersonEntity: Name: NameFull: Noda, Yoshihiro – PersonEntity: Name: NameFull: Matsumoto, Junya – PersonEntity: Name: NameFull: Miura, Kenichiro – PersonEntity: Name: NameFull: Nakazawa, Takanobu – PersonEntity: Name: NameFull: Hikida, Takatoshi – PersonEntity: Name: NameFull: Kasai, Kiyoto – PersonEntity: Name: NameFull: Ozaki, Norio – PersonEntity: Name: NameFull: Hashimoto, Ryota IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 13231316 Numbering: – Type: volume Value: 76 – Type: issue Value: 1 Titles: – TitleFull: Psychiatry & Clinical Neurosciences Type: main |
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