Nakamura Yukako

Research field (1)： Psychiatry

Research theme for competitive and other funds (3)：

2020 - 2023 産後に抑うつ状態を呈する要介入者を選定するツールの開発
2014 - 2018 Identification of biological factors related to the pathological condition of postpartum depression using comprehensive epigenome analysis
2011 - 2013 The significance that the Family-Led Peer learning Program on schizophrenia has and the influence that the program on the schizophrenia has upon the family association

Papers (66)：

Yukako Nakamura, Taro Ueno, Nagahide Takahashi, Daisuke Ichikawa, Aya Yamauchi, Norio Ozaki. Early identification of postpartum depression using machine learning. Psychiatry and clinical neurosciences. 2024
工藤紀子, 中村由嘉子, 荒牧英治, 尾崎紀夫. 【AI(人工知能)を用いた精神科薬物療法の近未来を問う】AIを活用した研究成果が精神科医療に活用されるために必要なこと. 臨床精神薬理. 2023. 26. 3. 317-323
Itaru Kushima, Masahiro Nakatochi, Branko Aleksic, Takashi Okada, Hiroki Kimura, Hidekazu Kato, Mako Morikawa, Toshiya Inada, Kanako Ishizuka, Youta Torii, et al. Cross-disorder analysis of genic and regulatory copy number variations in bipolar disorder, schizophrenia, and autism spectrum disorder. Biological Psychiatry. 2022. 92. 5. 362-374
Chenyao Wang, Shin-Ichiro Horigane, Minoru Wakamori, Shuhei Ueda, Takeshi Kawabata, Hajime Fujii, Itaru Kushima, Hiroki Kimura, Kanako Ishizuka, Yukako Nakamura, et al. Identification of ultra-rare disruptive variants in voltage-gated calcium channel-encoding genes in Japanese samples of schizophrenia and autism spectrum disorder. Translational psychiatry. 2022. 12. 1. 84-84
Maya Sato, Takashi Okada, Mako Morikawa, Yukako Nakamura, Aya Yamauchi, Masahiko Ando, Norio Ozaki. Validation and factor analysis of the parental bonding instrument in Japanese pregnant women. Scientific reports. 2021. 11. 1. 13759-13759

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MISC (52)：

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