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Journal Paper

[6] A.Yamashita, Yuki Sakai, Takashi Yamada, Noriaki Yahata, Akira Kunimatsu, Naohiro Okada, Takashi Itahashi, Ryu-ichiro Hashimoto, Hiroto Mizuta, Naho Ichikawa, Masahiro Takamura, Go Okada, Hirotaka Yamagata, Kenichiro Harada, Koji Matsuo, Saori Tanaka, Mitsuo Kawato, Kiyoto Kasai, Nobumasa Kato, Hidehiko Takahashi, Yasumasa Okamoto, Okito Yamashita, Hiroshi Imamizu: Common brain networks between major depressive disorder and symptoms of depression that are validated for independent cohorts, bioRxiv, doi: https://doi.org/10.1101/2020.04.22.056432 (2020)
[5] A.Yamashita, Ayumu Yamashita, David Rothlein, Aaron Kucyi, Eve M. Valera, Michael Esterman: Two dominant brain states reflect optimal and suboptimal attention, bioRxiv, doi: https://doi.org/10.1101/2020.01.31.928523 (2020)
[4] A.Yamashita, Noriaki Yahata, Takashi Itahashi, Giuseppe Lisi, Takashi Yamada, Naho Ichikawa, Masahiro Takamura, Yujiro Yoshihara, Akira Kunimatsu, Naohiro Okada, Hirotaka Yamagata, Koji Matsuo, Ryuichiro Hashimoto, Go Okada, Yuki Sakai, Jun Morimoto, Jin Narumoto, Yasuhiro Shimada, Kiyoto Kasai, Nobumasa Kato, Hidehiko Takahashi, Yasumasa Okamoto, Saori C Tanaka, Okito Yamashita, Mitsuo Kawato, Hiroshi Imamizu: Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias, PLOSBiology 17(4): e3000042 (2019)
[3] A.Yamashita, Ayumu Yamashita, Noriaki Yahata, Takashi Itahashi, Giuseppe Lisi, Takashi Yamada, Naho Ichikawa, Masahiro Takamura, Yujiro Yoshihara, Akira Kunimatsu, Naohiro Okada, Hirotaka Yamagata, Koji Matsuo, Ryuichiro Hashimoto, Go Okada, Yuki Sakai, Jun Morimoto, Jin Narumoto, Yasuhiro Shimada, Kiyoto Kasai, Nobumasa Kato, Hidehiko Takahashi, Yasumasa Okamoto, Saori C Tanaka, Okito Yamashita, Mitsuo Kawato, Hiroshi Imamizu: Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias, bioRxiv, doi: https://doi.org/10.1101/440875 (2018)
[2] A.Yamashita, S. Hayasaka, M. Kawato, H. Imamizu: Connectivity neurofeedback training can differentially change functional connectivity and cognitive performance, Cerebral Cortex, 1-11, doi: 10.1093/cercor/bhx177 (2017)
[1] Fukuda M, Yamashita A, Kawato M, Imamizu H: Functional MRI neurofeedback training on connectivity between two regions induces long-lasting changes in intrinsic functional network, Frontiers in Human Neuroscience, 9(160), doi: 10.3389/fnhum.2015.00160 (2015)

International Conference

[4] A.Yamashita, S. Hayasaka, M. Kawato, H. Imamizu (2017, November). Resting-state functional connectivity as an index of measuring and predicting neurofeedback learning, Real-time functional imaging and neurofeedback conference 2017 (rtFIN2017), Kyoto
[3] A.Yamashita, S. Hayasaka, M. Kawato, H. Imamizu (2017, November). Functional Connectivity Neurofeedback Training Can Differentially Change Functional Connectivity and Cognitive Performance, Poster presented at the rtFIN2017, Kyoto.
[2] A.Yamashita, G. Lisi, N. Ichikawa, M. Takamura, Y. Yoshihara, T. Itahashi, T. Yamada, G. Okada, H. Mano, Y. Sakai, O. Yamashita, J. Morimoto, N. Yahata, R. Hashimoto, H. Takahashi, Y. Okamoto, M. Kawato, and H. Imamizu (2017, November). Sampling biases and measurement biases due to different sites in resting-state functional connectivity data comparable with effects of mental disorders, Poster presented at the Society for Neuroscience 2017, Washington, D.C.
[1] A.Yamashita, S. Hayasaka, M. Kawato, H. Imamizu (2016, June). Direct evidence of functional connectivity influencing behavior: Connectivity neurofeedback training differentially changes cognitive performance. Poster presented at the Annual Meeting of the Organization for Human Brain Mapping, Geneva.

Conference

[1] A. Yamashita, S. Ishii, H. Imamizu, "Differences of brain activity between tennis experts and novices during motor imagery", Neuro2013, Kyoto, 2013.6