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 | 47 | 2021 |
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 | 13 | 2020 |
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 | 7 | 2022 |
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 | 6 | 2023 |
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 | 3 | 2023 |
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 | 2 | 2023 |
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 | 1 | 2022 |
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 | | |