研究者詳細 - 牛場　潤一

Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 （Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018） 51 - 56 2019年01月

研究論文（国際会議プロシーディングス）, 共著, ISSN 9781538666500

© 2018 IEEE. There have been recent advances in brain-computer interfaces for post-stroke rehabilitation. In particular, compact and embedded brain-computer interface systems with neuromuscular electrical stimulation have been developed by industry and academia, and some of them can potentially be used at the bedside. However, limited studies have demonstrated their safety and feasibility for treatment in subacute stroke patients. The aim of this pilot study was to first develop a brain-computer interface system for subacute stroke inpatients that is usable at the bedside and to show the safety and feasibility using a small cohort of inpatients. Four hemiplegic stroke inpatients in the very early phase (7-24 days from stroke onset) participated in this study. The portable brain-computer interface system shows the amplitude of sensorimotor rhythms extracted from scalp electroencephalograms in real time. Patients attempted to extend the wrist on their affected side, and neuromuscular electrical stimulation was applied only when the brain-computer interface system detected significant movement intention-related electroencephalogram changes. Each brain-computer interface training lasted 40 minutes. On average, 120-200 training trials of the wrist extension task were successfully and safely conducted over 3.3 days (range 2-4 days) with the bedside brain-computer interface system. Furthermore, electroencephalogram results showed a new significant event-related desynchronization in the damaged hemisphere after training. These results clearly show the proposed bedside brain-computer interface system's safety and feasibility and also demonstrated electrophysiological plasticity in the damaged hemisphere in subacute patients with post-stroke hemiplegia. Larger clinical studies are needed to identify the brain-computer interface system's clinical efficacy and its effect size in the subacute post-stroke patient population.

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Evaluating the Effectiveness and Safety of the Electroencephalogram-Based Brain-Machine Interface Rehabilitation System for Patients With Severe Hemiparetic Stroke: Protocol for a Randomized Controlled Trial (BEST-BRAIN Trial)

Katsuhiro Mizuno, Takayuki Abe, Junichi Ushiba, Michiyuki Kawakami, Tomomi Ohwa, Kazuto Hagimura, Miho Ogura, Kohei Okuyama, Toshiyuki Fujiwara, Meigen Liu

JMIR Research Protocols 7 （ 12 ） e12339 2018年12月

研究論文（学術雑誌）, 共著, 査読有り

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Precise estimation of human corticospinal excitability associated with the levels of motor imagery-related EEG desynchronization extracted by a locked-in amplifier algorithm

Takahashi K., Kato K., Mizuguchi N., Ushiba J.

Journal of neuroengineering and rehabilitation （Journal of neuroengineering and rehabilitation） 15 （ 93 ） 2018年11月

研究論文（学術雑誌）, 共著, 査読有り

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 alpha and beta bands extracted from EEG recorded over the primary sensorimotor area (SM1) is often used, since ERD has been suggested to be associated with an increase of corticospinal excitability. Recently, we demonstrated a novel online lock-in amplifier (LIA) algorithm to estimate the amplitude modulation of motor-related SM1 ERD. With this algorithm, the delay time, accuracy, and stability to estimate motor-related SM1 ERD were significantly improved compared with the conventional fast Fourier transformation (FFT) algorithm. These technical improvements to extract an ERD trace imply a potential advantage for a better trace of the excitatory status of the SM1 in a BCI context. Therefore, the aim of this study was to assess the precision of LIA-based ERD tracking for estimation of corticospinal excitability using a transcranial magnetic stimulation (TMS) paradigm.METHODS: The motor evoked potentials (MEPs) induced by single-pulse TMS over the primary motor cortex depending on the magnitudes of SM1 ERD (i.e., 35% and 70%) extracted by the online LIA or FFT algorithm were monitored during a motor imagery task of wrist extension in 17 healthy participants. Then, the peak-to-peak amplitudes of MEPs and their variabilities were assessed to investigate the precision of the algorithms.RESULTS: We found greater MEP amplitude evoked by single-pulse TMS triggered by motor imagery-related alpha SM1 ERD than at rest. This enhancement was associated with the magnitude of ERD in both FFT and LIA algorithms. Moreover, we found that the variabilities of peak-to-peak MEP amplitudes at 35% and 70% ERDs calculated by the novel online LIA algorithm were smaller than those extracted using the conventional FFT algorithm.CONCLUSIONS: The present study demonstrated that the calculation of motor imagery-related SM1 ERDs using the novel online LIA algorithm led to a more precise estimation of corticospinal excitability than when the ordinary FFT-based algorithm was used.

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Prolonged Aftereffect of Visuomotor Adaptation to Gradually Distorted Reality Displayed on a See-Through Head-Mounted Device

Kasuga S., Mori R., Kasahara S., Rekimoto J., Ushiba J.

International Journal of Human-Computer Interaction （International Journal of Human-Computer Interaction） 35 （ 15 ） 1345 - 1351 2018年10月

研究論文（学術雑誌）, 共著, 査読有り, ISSN 10447318

© 2018, © 2018 Taylor & Francis Group, LLC. Growing evidence suggests that the gradual transformation of visuomotor association drives a distinct learning process from abrupt transformation in humans. In the current study, we developed a novel omnidirectional visuomotor transformation paradigm to study details of such difference in more realistic environment than conventional experimental systems. Participants were asked to perform a repetitive three-dimensional (3D) arm-reaching task to a target on a front touch panel, wearing a video see-through head-mounted device that displayed a rotating view of surrounding images. In the abrupt condition, the images were rotated by 20°; in the gradual condition, the rotation was increased in a stepwise-manner from 0° to 20°. In both conditions, pointing errors were decreased after adaptation. Further, although the aftereffect of adaptation was not different between conditions, the speed of decay of the aftereffect, which was quantified by an exponential fit, was slower in the gradual condition, suggesting longer-lasting aftereffects for the gradual shift.

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Muscle-selective disinhibition of corticomotor representations using a motor imagery-based brain-computer interface

Takemi M., Maeda T., Masakado Y., Siebner H., Ushiba J.

NeuroImage （NeuroImage） 183 597 - 605 2018年08月

研究論文（学術雑誌）, 共著, 査読有り, ISSN 10538119

© 2018 Bridging between brain activity and machine control, brain-computer interface (BCI) can be employed to activate distributed neural circuits implicated in a specific aspect of motor control. Using a motor imagery-based BCI paradigm, we previously found a disinhibition within the primary motor cortex contralateral to the imagined movement, as evidenced by event-related desynchronization (ERD) of oscillatory cortical activity. Yet it is unclear whether this BCI approach does selectively facilitate corticomotor representations targeted by the imagery. To address this question, we used brain state-dependent transcranial magnetic stimulation while participants performed kinesthetic motor imagery of wrist movements with their right hand and received online visual feedback of the ERD. Single and paired-pulse magnetic stimulation were given to the left primary motor cortex at a low or high level of ERD to assess intracortical excitability. While intracortical facilitation showed no modulation by ERD, short-latency intracortical inhibition was reduced the higher the ERD. Intracortical disinhibition was only found in the agonist muscle targeted by motor imagery at high ERD level, but not in the antagonist muscle. Single pulse motor-evoked potential was also increased the higher the ERD. However, at high ERD level, this facilitatory effect on overall corticospinal excitability was not selective to the agonist muscle. Analogous results were found in two independent experiments, in which participants either performed kinesthetic motor imagery of wrist extension or flexion. Our results showed that motor imagery-based BCI can selectively disinhibit the corticomotor output to the agonist muscle, enabling effector-specific training in patients with motor paralysis.

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Calcium Transient Dynamics of Neural Ensembles in the Primary Motor Cortex of Naturally Behaving Monkeys

Kondo T., Saito R., Otaka M., Yoshino-Saito K., Yamanaka A., Yamamori T., Watakabe A., Mizukami H., Schnitzer M., Tanaka K., Ushiba J., Okano H.

Cell Reports （Cell Reports） 24 （ 8 ） 2191 - 2195 2018年08月

研究論文（学術雑誌）, 共著, 査読有り

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Brain-computer interfaces for stroke rehabilitation: summary of the 2016 BCI Meeting in Asilomar

Guger C., Millán J., Mattia D., Ushiba J., Soekadar S., Prabhakaran V., Mrachacz-Kersting N., Kamada K., Allison B.

Brain-Computer Interfaces （Brain-Computer Interfaces） 5 （ 2-3 ） 41 - 57 2018年07月

ISSN 2326263X

© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group. Brain-computer interfaces (BCIs) based on motor imagery have been gaining attention as tools to facilitate recovery from movement disorders resulting from stroke or other causes. These BCIs can detect imagined movements that are typically required within conventional rehabilitation therapy. This information about the timing, intensity, and location of imagined movements can help assess compliance and control feedback mechanisms such as functional electrical stimulation (FES) and virtual avatars. Here, we review work from eight groups that each presented recent results with BCI-based rehabilitation at a workshop during the 6th International Brain-Computer Interface Meeting. We also present major directions and challenges for future research.

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Subjective vividness of kinesthetic motor imagery is associated with the similarity in magnitude of sensorimotor event-related desynchronization between motor execution and motor imagery

Toriyama H., Ushiba J., Ushiyama J.

Frontiers in Human Neuroscience （Frontiers in Human Neuroscience） 295 (10 pages) 2018年07月

研究論文（学術雑誌）, 共著, 査読有り

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Structural Gray Matter Changes in the Hippocampus and the Primary Motor Cortex on An-Hour-to-One- Day Scale Can Predict Arm-Reaching Performance Improvement

Kodama M., Ono T., Yamashita F., Ebata H., Liu M., Kasuga S., Ushiba J.

Frontiers in Human Neuroscience （Frontiers in Human Neuroscience） 209 (11 pages) 2018年06月

研究論文（学術雑誌）, 共著, 査読有り

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Resting-state pallidal-cortical oscillatory couplings in patients with predominant phasic and tonic dystonia

Yokochi F., Kato K., Iwamuro H., Kamiyama T., Kimura K., Yugeta A., Okiyama R., Taniguchi M., Kumada S., Ushiba J.

Frontiers in Neurology （Frontiers in Neurology） 375 (12 pages) （ MAY ） 2018年05月

研究論文（学術雑誌）, 共著, 査読有り

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Change in Reciprocal Inhibition of the Forearm with Motor Imagery among Patients with Chronic Stroke

Kawakami M., Okuyama K., Takahashi Y., Hiramoto M., Nishimura A., Ushiba J., Fujiwara T., Liu M.

Neural Plasticity （Neural Plasticity） 2018 394636 (9 pages) 2018年04月

研究論文（学術雑誌）, 共著, 査読有り, ISSN 20905904

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Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis

Cervera M.A., Soekadar S.R., Ushiba J., Millán J.d.R., Liu M., Birbaumer N., Garipelli G.

Annals of Clinical and Translational Neurology （Annals of Clinical and Translational Neurology） 5 （ 5 ） 651 - 663 2018年03月

研究論文（学術雑誌）, 共著, 査読有り

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Accurate motor mapping in awake common marmosets using micro-electrocorticographical stimulation and stochastic threshold estimation

Kosugi A., Takemi M., Tia B., Castagnola E., Ansaldo A., Sato K., Awiszus F., Seki K., Ricci D., Fadiga L., Iriki A., Ushiba J.

Journal of Neural Engineering （Journal of Neural Engineering） 15 （ 3 ） 036019 2018年03月

研究論文（学術雑誌）, 共著, 査読有り, ISSN 17412560

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Acquisition of a mental strategy to control a virtual tail via brain–computer interface

Fujisawa A., Kasuga S., Suzuki T., Ushiba J.

Cognitive Neuroscience （Cognitive Neuroscience） 26 （ 1 ） 1 - 14 2018年01月

研究論文（学術雑誌）, 共著, 査読有り, ISSN 17588928

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Feasibility of task-specific brain-machine interface training for upper-extremity paralysis in patients with chronic hemiparetic stroke

Nishimoto A., Kawakami M., Fujiwara T., Hiramoto M., Honaga K., Abe K., Mizuno K., Ushiba J., Liu M.

Journal of Rehabilitation Medicine （Journal of Rehabilitation Medicine） 50 （ 1 ） 52 - 58 2018年01月

研究論文（学術雑誌）, 共著, 査読有り, ISSN 16501977

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Online detection of amplitude modulation of motor-related EEG desynchronization using a lock-in amplifier: Comparison with a fast Fourier transform, a continuous wavelet transform, and an autoregressive algorithm

Kato K., Takahashi K., Mizuguchi N., Ushiba J.

Journal of Neuroscience Methods （Journal of Neuroscience Methods） 293 289 - 298 2018年01月

研究論文（学術雑誌）, 共著, 査読有り, ISSN 01650270

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