Research field (3)：
Biomedical engineering
, Basic brain sciences
, Experimental psychology
Research keywords (1)：
Ultra-high fleld MRI
Research theme for competitive and other funds (1)：
2022 - 2025 Developments of New Method for Artifact Removal and Image Super-Resolution Technique in Diffusion-Weighted Imaging at 7 Tesla
Papers (6)：
Nozomu H Nakamura, Masaki Fukunaga, Tetsuya Yamamoto, Norihiro Sadato, Yoshitaka Oku. Respiration-timing-dependent changes in activation of neural substrates during cognitive processes. Cerebral Cortex Communications. 2022
Tetsuya Yamamoto, Masaki Fukunaga, Sho K. Sugawara, Yuki H. Hamano, Norihiro Sadato. Quantitative evaluations of geometrical distortion corrections in cortical surface-based analysis of high-resolution functional MRI data at 7T. Journal of Magnetic Resonance Imaging. 2021. 53. 4. 1220-1234
Tetsuya Yamamoto, Hiroki Yamamoto, Kenichiro Miura, Nobukatsu Sawamoto, Hidenao Fukuyama, Kenji Kawano. Intra- and inter-visual area differences in optimal spatial frequency: A human fMRI study. NEUROSCIENCE RESEARCH. 2011. 71. E350-E350
Lectures and oral presentations (38)：
Toward fine anatomically-informed functional analyses using ultra-high field MRI: Quantitative evaluation of artifact corrections in 7-T functional MRI data
(International Conference on Complex Medical and Engineering 2020 2020)
Parcellation of the human brain cortex using a modell free, sparse acquisition diffusion MRI approach (≪S-index≫)
(2020 ISMRM & SMRT Virtual Conference & Exhibition 2020)
Linking Multimodal Parcellation 1.0 of Human Connectome Project to MNI coordinates
(The 26th Annual Meeting of the Organization for Human Brain Mapping 2020)
Quantitative evaluations of geometric distortion corrections in surface-based analysis of 7T fMRI
(The 26th Annual Meeting of the Organization for Human Brain Mapping 2020)
Toward better registration of 7T diffusion data to 3T structural data in HCP
(Brain Storming on Primate Connectome 2019 2019)
2020/10 - 現在 National Institute for Physiological Sciences Department of System Neuroscience, Division of Cerebral Integration Project Assistant Professor
