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Seitaro Iwama
Seitaro Iwama
其他姓名岩間清太朗
Department of Biosciences and Informatics, Faculty of Science and Technology, Keio University
在 keio.jp 的电子邮件经过验证 - 首页
标题
引用次数
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年份
Use of common average reference and large-Laplacian spatial-filters enhances EEG signal-to-noise ratios in intrinsic sensorimotor activity
S Tsuchimoto, S Shibusawa, S Iwama, M Hayashi, K Okuyama, ...
Journal of Neuroscience Methods 353, 109089, 2021
472021
Scalp electroencephalograms over ipsilateral sensorimotor cortex reflect contraction patterns of unilateral finger muscles
S Iwama, S Tsuchimoto, M Hayashi, N Mizuguchi, J Ushiba
NeuroImage 222, 117249, 2020
132020
Beta rhythmicity in human motor cortex reflects neural population coupling that modulates subsequent finger coordination stability
S Iwama, T Yanagisawa, R Hirose, J Ushiba
Communications biology 5 (1), 1375, 2022
72022
Thirty-minute motor imagery exercise aided by EEG sensorimotor rhythm neurofeedback enhances morphing of sensorimotor cortices: a double-blind sham-controlled study
M Kodama, S Iwama, M Morishige, J Ushiba
Cerebral Cortex, 2023
62023
Two common issues in synchronized multimodal recordings with EEG: Jitter and Latency
S Iwama, M Takemi, R Eguchi, R Hirose, M Morishige, J Ushiba
Neuroscience Research, 2023
32023
High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing
S Iwama, M Morishige, M Kodama, Y Takahashi, R Hirose, J Ushiba
Scientific Data 10 (1), 385, 2023
22023
De novo brain-computer interfacing deforms manifold of populational neural activity patterns in human cerebral cortex
S Iwama, Z Yichi, J Ushiba
eNeuro 9 (6), ENEURO.0145-22.2022, 2022
12022
EEG decoding with spatiotemporal convolutional neural network for visualization and closed‐loop control of sensorimotor activities: A simultaneous EEG‐fMRI study
S Iwama, S Tsuchimoto, N Mizuguchi, J Ushiba
Human Brain Mapping 45 (9), e26767, 2024
2024
Rapid functional remodeling of the targeted contralesional hemisphere induced by one week of noninvasive closed-loop neurofeedback guides motor recovery in post-stroke patients …
K Takasaki, S Iwama, F Liu, M Ogura-Hiramoto, K Okuyama, M Kawakami, ...
medRxiv, 2024.06. 11.24308643, 2024
2024
Hand motor recovery from post-stroke chronic severe hemiplegia with brain-computer interface based neurofeedback exercise: A randomized controlled trial
K Mizuno, M Hayashi, S Iwama, D Nishida, K Honaga, H Fuseya, ...
medRxiv, 2024.06. 11.24308782, 2024
2024
Rapid-IAF: Rapid Identification of Individual Alpha Frequency in EEG Data Using Sequential Bayesian Estimation
S Iwama, J Ushiba
IEEE transactions on neural systems and rehabilitation engineering: a …, 2024
2024
Brain-Machine Interface for neurorehabilitation and human augmentation: Applications of BMI technology and prospects
J Ushiba, M Hayashi, S Iwama
ACM SIGGRAPH 2023 Emerging Technologies, 1-1, 2023
2023
Motor Learning and “Object-based Learning”—from the Perspective of Neuroscience—
S Iwama, M Kokubo, J Ushiba
The KeMCo Review 1 (1), 35-42, 2023
2023
Cortico-cortical coupling of neural oscillations underlying human sensorimotor control
S Iwama
Ph.D. Dissertation, 2023
2023
ブレイン・マシン・インターフェースからみた脳科学とリハビリテーション
岩間清太朗, 牛場潤一
理学療法-臨床・研究・教育 30 (1), 3-6, 2023
2023
ブレイン・マシン・インターフェースとニューロリハビリテーション
牛場潤一, 岩間清太朗
医学のあゆみ 275 (12), 1240-1245, 2020
2020
Mechanisms, Evidences, and Meta-analysis in Brain-Machine Interface Based Motor Exercise
J USHIBA, S IWAMA, M RIU
Japanese Journal of Rehabilitation Medicine 57 (10), 956-964, 2020
2020
Effects of Gamification on Brain-Computer Interface Training.
M Morishige, S Iwama, J Ushiba
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