論文

査読有り 国際誌
2022年1月

Trends in big data analyses by multicenter collaborative translational research in psychiatry.

Psychiatry and clinical neurosciences
  • Toshiaki Onitsuka
  • Yoji Hirano
  • Kiyotaka Nemoto
  • Naoki Hashimoto
  • Itaru Kushima
  • Daisuke Koshiyama
  • Michihiko Koeda
  • Tsutomu Takahashi
  • Yoshihiro Noda
  • Junya Matsumoto
  • Kenichiro Miura
  • Takanobu Nakazawa
  • Takatoshi Hikida
  • Kiyoto Kasai
  • Norio Ozaki
  • Ryota Hashimoto
  • 全て表示

76
1
開始ページ
1
終了ページ
14
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1111/pcn.13311

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. This article is protected by copyright. All rights reserved.

リンク情報
DOI
https://doi.org/10.1111/pcn.13311 本文へのリンクあり
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/34716732
ID情報
  • DOI : 10.1111/pcn.13311
  • PubMed ID : 34716732

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