Keio University · Neuroscience
Professor Junichi Ushiba's research lab specializes in neuroscience and biomedical engineering, focusing on brain-computer interfaces (BCIs) and neurorehabilitation for stroke patients. The lab investigates how motor-related brain signals, particularly scalp electroencephalography (EEG) patterns such as sensorimotor rhythm (SMR) modulation, can be harnessed to promote motor recovery in individuals with severe hemiplegia. A key research direction involves optimizing feedback modalities—such as visual and somatosensory feedback—in BCI systems to enhance functional outcomes. The lab also explores the intrinsic relationship between spontaneous brain activity and sensorimotor network dynamics using multimodal neuroimaging techniques like fMRI and EEG.
Figures are computed from collected data and may differ slightly.
Recent studies have shown that scalp electroencephalogram (EEG) based brain-computer interface (BCI) has a great potential for motor rehabilitation in stroke patients with severe hemiplegia. However, key elements in BCI architecture for functional recovery has yet to be clear. We in this study focused on the type of feedback to the patients, which is given contingently to their motor-related EEG in a BCI context. The efficacy of visual and somatosensory feedbacks was compared by a two-group stud
Blockade of the scalp electroencephalographic (EEG) sensorimotor rhythm (SMR) is a well-known phenomenon following attempted or executed motor functions. Such a frequency-specific power attenuation of the SMR occurs in the alpha and beta frequency bands and is spatially registered at primary somatosensory and motor cortices. Here, we hypothesized that resting-state fluctuations of the SMR in the alpha and beta frequency bands also covary with resting-state sensorimotor cortical activity, without
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