Zobrazeno 1 - 10
of 207
pro vyhledávání: '"Junichi Ushiba"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Reward usually enhances task performance, but exceptionally large rewards can impede performance due to psychological pressure. In this study, we investigated motor activity changes in high-reward situations and identified indicators for per
Externí odkaz:
https://doaj.org/article/d91ead4283884ddaa50527594ab998d9
Autor:
Seitaro Iwama, Junichi Ushiba
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 915-922 (2024)
Rapid and robust identification of the individual alpha frequency (IAF) in electroencephalogram (EEG) is an essential factor for successful brain-computer interface (BCI) use. Here we demonstrate an algorithm to determine the IAF from short-term rest
Externí odkaz:
https://doaj.org/article/2e9e404690094107990ec776693051b0
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Optimizing the training regimen depending on neuromuscular fatigue is crucial for the well-being of professionals intensively practicing motor skills, such as athletes and musicians, as persistent fatigue can hinder learning and cause neurom
Externí odkaz:
https://doaj.org/article/8557542eed164456903ec041a4284bf5
Autor:
Seitaro Iwama, Masumi Morishige, Midori Kodama, Yoshikazu Takahashi, Ryotaro Hirose, Junichi Ushiba
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-7 (2023)
Abstract Real-time functional imaging of human neural activity and its closed-loop feedback enable voluntary control of targeted brain regions. In particular, a brain-computer interface (BCI), a direct bridge of neural activities and machine actuatio
Externí odkaz:
https://doaj.org/article/9ec193537abe4b2f8626a0c0cbe0af63
Publikováno v:
Neuroscience Informatics, Vol 3, Iss 3, Pp 100136- (2023)
As a change in the electroencephalogram (EEG) during motor tasks, the phenomenon in the sensorimotor area (SM1) is called event-related desynchronization (ERD). Motor commands are discharged from the primary motor area (M1) to the muscle through the
Externí odkaz:
https://doaj.org/article/114aa9e0d4da42e4a86794d160bd62e4
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-12 (2022)
EEG measurements of the human motor cortex during a finger tapping task show that premovement cortical oscillatory coupling influences bimanual coordination performance after consolidation.
Externí odkaz:
https://doaj.org/article/425d352800ae412d8d003d8097d1f84a
Autor:
Masaaki Hayashi, Kohei Okuyama, Nobuaki Mizuguchi, Ryotaro Hirose, Taisuke Okamoto, Michiyuki Kawakami, Junichi Ushiba
Publikováno v:
eLife, Vol 11 (2022)
Human behavior requires inter-regional crosstalk to employ the sensorimotor processes in the brain. Although external neuromodulation techniques have been used to manipulate interhemispheric sensorimotor activity, a central controversy concerns wheth
Externí odkaz:
https://doaj.org/article/d353bbf2e39f444b886196d3e8ad8792
Autor:
Yosuke Fujiwara, Junichi Ushiba
Publikováno v:
Frontiers in Computational Neuroscience, Vol 16 (2022)
Concomitant with the development of deep learning, brain–computer interface (BCI) decoding technology has been rapidly evolving. Convolutional neural networks (CNNs), which are generally used as electroencephalography (EEG) classification models, a
Externí odkaz:
https://doaj.org/article/84d0bb92675849eb8ee83153d2a4dae2
Autor:
Takahiro Kondo, Risa Saito, Yuta Sato, Kenta Sato, Akito Uchida, Kimika Yoshino-Saito, Munehisa Shinozaki, Syoichi Tashiro, Narihito Nagoshi, Masaya Nakamura, Junichi Ushiba, Hideyuki Okano
Publikováno v:
Frontiers in Cellular Neuroscience, Vol 16 (2022)
Spinal cord injury (SCI) leads to locomotor dysfunction. Locomotor rehabilitation promotes the recovery of stepping ability in lower mammals, but it has limited efficacy in humans with a severe SCI. To explain this discrepancy between different speci
Externí odkaz:
https://doaj.org/article/1998d586c39d4c43a45d4a8a8382df29
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 15, Iss 1, Pp 1-9 (2018)
Abstract Background Physical motor exercise aided by an electroencephalogram (EEG)-based brain-computer interface (BCI) is known to improve motor recovery in patients with stroke. In such a BCI paradigm, event-related desynchronization (ERD) in the a
Externí odkaz:
https://doaj.org/article/3b53a107474f4eeab90f4bfec21b2023