Projects per year
Personal profile
Campus career
附属病院 助教 2017/04/01-2019/09/30
附属病院 助教 2019/10/01-
医学系 助教 2019/10/01-
附属病院 助教 2019/10/01-
医学系 助教 2019/10/01-
Field of expertise (Grants-in-aid for Scientific Research classification)
- Psychiatric science
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Dive into the research topics where Daiki Sasabayashi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 2 Finished
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臨床応用に向けた多施設データによる統合失調症前駆期における皮質下構造の特徴の解明
Sasabayashi, D. (PI)
2018/04/01 → 2023/03/31
Project: Research
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Elucidation of the pathogenesis of self-disturbance in the prodromal stage of schizophrenia and its application to early diagnosis
Nishiyama, S. (PI), Suzuki, M. (CoI), Takahashi, T. (CoI) & Sasabayashi, D. (CoI)
2016/04/01 → 2021/03/31
Project: Research
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Diosgenin-rich Yam (rhizome of Dioscorea batatas) extract ameliorates cognitive functions and plasma biomarkers for mild cognitive impairment and mild Alzheimer's disease: A randomized controlled trial
Inada, Y., Tohda, C., Sasabayashi, D. & Suzuki, M., 2024/08, In: Phytomedicine Plus. 4, 3, 100613.Research output: Contribution to journal › Article › peer-review
Open Access -
Gross anatomical features of the insular cortex in affective disorders
Takahashi, T., Sasabayashi, D., Yücel, M., Whittle, S., Suzuki, M., Pantelis, C., Malhi, G. S. & Allen, N. B., 2024, In: Frontiers in Psychiatry. 15, 1482990.Research output: Contribution to journal › Article › peer-review
Open Access -
Midline brain structures in adult Niemann-Pick type C disease: a cross-sectional study
Walterfang, M., Takahashi, T., Di Biase, M. A., Cropley, V. L., Sasabayashi, D., Suzuki, M., Velakoulis, D. & Pantelis, C., 2024/12/01, In: Acta Neuropsychiatrica. 36, 6, p. 351-356 6 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Normative Modeling of Brain Morphometry in Clinical High Risk for Psychosis
Haas, S. S., Ge, R., Agartz, I., Amminger, G. P., Andreassen, O. A., Bachman, P., Baeza, I., Choi, S., Colibazzi, T., Cropley, V. L., De La Fuente-Sandoval, C., Ebdrup, B. H., Fortea, A., Fusar-Poli, P., Glenthøj, B. Y., Glenthøj, L. B., Haut, K. M., Hayes, R. A., Heekeren, K. & Hooker, C. I. & 60 others, , 2024/01/03, In: JAMA Psychiatry. 81, 1, p. 77-88 12 p.Research output: Contribution to journal › Article › peer-review
Open Access15 Scopus citations -
Prediction of psychotic disorder in individuals with clinical high-risk state by multimodal machine-learning: A preliminary study
Takayanagi, Y., Sasabayashi, D., Takahashi, T., Higuchi, Y., Nishiyama, S., Tateno, T., Mizukami, Y., Akasaki, Y., Furuichi, A., Kobayashi, H., Takayanagi, M., Noguchi, K., Tsujii, N. & Suzuki, M., 2024/06, In: Biomarkers in Neuropsychiatry. 10, 100089.Research output: Contribution to journal › Article › peer-review
Open Access