Kotaro TAKEDA

Dr. Kotaro TAKEDA

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 March 2011 in Neurorehabilitation and Neural Repair
Verified
Journal Article
Closed access
STSatoshi Tanaka
Satoshi Tanaka
KTKotaro TAKEDA
Kotaro TAKEDA
YOYohei Otaka
Yohei Otaka
KKKahori Kita
Kahori Kita
RORieko Osu
Rieko Osu
KWKatsumi Watanabe
Katsumi Watanabe
Background. Transcranial direct current stimulation (tDCS) of the motor cortex can enhance the performance of a paretic upper extremity after stroke. Reported effects on lower limb (LL) function are sparse. Objective. The authors examined whether tDCS can increase the force production of the paretic quadriceps. Methods. In this double-blind, crossover, sham-controlled experimental design, 8 participants with chronic subcortical stroke performed knee extension using their hemiparetic leg before, during, and after anodal or sham tDCS of the LL motor cortex representation in the affected hemisphere. Affected hand-grip force was also recorded. Results. The maximal knee-extension force increased by 21 N (13.2%, P < .01) during anodal tDCS compared with baseline and sham stimulation. The increase persisted less than 30 minutes. Maximal hand-grip force did not change. Conclusions. Anodal tDCS transiently enhanced knee extensor strength. The modest increase was specific to the LL. Thus, tDCS might augment the rehabilitation of stroke patients when combined with lower extremity strengthening or functional training.

1 November 2016 in NeuroImage
Verified
Journal Article
Open access
TSTakanori Sato
Takanori Sato
INIsao Nambu
Isao Nambu
KTKotaro TAKEDA
Kotaro TAKEDA
TATakatsugu Aihara
Takatsugu Aihara
OYOkito Yamashita
Okito Yamashita
RORieko Osu
Rieko Osu
Functional near-infrared spectroscopy (fNIRS) is used to measure cerebral activity because it is simple and portable. However, scalp-hemodynamics often contaminates fNIRS signals, leading to detection of cortical activity in regions that are actually inactive. Methods for removing these artifacts using standard source-detector distance channels (Long-channel) tend to over-estimate the artifacts, while methods using additional short source-detector distance channels (Short-channel) require numerous probes to cover broad cortical areas, which leads to a high cost and prolonged experimental time. Here, we propose a new method that effectively combines the existing techniques, preserving the accuracy of estimating cerebral activity and avoiding the disadvantages inherent when applying the techniques individually. Our new method accomplishes this by estimating a global scalp-hemodynamic component from a small number of Short-channels, and removing its influence from the Long-channels using a general linear model (GLM). To demonstrate the feasibility of this method, we collected fNIRS and functional magnetic resonance imaging (fMRI) measurements during a motor task. First, we measured changes in oxygenated hemoglobin concentration (∆Oxy-Hb) from 18 Short-channels placed over motor-related areas, and confirmed that the majority of scalp-hemodynamics was globally consistent and could be estimated from as few as four Short-channels using principal component analysis. We then measured ∆Oxy-Hb from 4 Short- and 43 Long-channels. The GLM identified cerebral activity comparable to that measured separately by fMRI, even when scalp-hemodynamics exhibited substantial task-related modulation. These results suggest that combining measurements from four Short-channels with a GLM provides robust estimation of cerebral activity at a low cost.

16 August 2012 in Journal of NeuroEngineering and Rehabilitation
Verified
Journal Article
Open access
PDF file
MTMitsuru Takahashi
Mitsuru Takahashi
KTKotaro TAKEDA
Kotaro TAKEDA
YOYohei Otaka
Yohei Otaka
RORieko Osu
Rieko Osu
THTakashi Hanakawa
Takashi Hanakawa
KIKoji Ito
Koji Ito
Background: We developed an electroencephalogram-based brain computer interface system to modulate functional electrical stimulation (FES) to the affected tibialis anterior muscle in a stroke patient. The intensity of FES current increased in a stepwise manner when the event-related desynchronization (ERD) reflecting motor intent was continuously detected from the primary cortical motor area. Methods: We tested the feasibility of the ERD-modulated FES system in comparison with FES without ERD modulation. The stroke patient who presented with severe hemiparesis attempted to perform dorsiflexion of the paralyzed ankle during which FES was applied either with or without ERD modulation. Results: After 20 minutes of training, the range of movement at the ankle joint and the electromyography amplitude of the affected tibialis anterior muscle were significantly increased following the ERD-modulated FES compared with the FES alone. Conclusions: The proposed rehabilitation technique using ERD-modulated FES for stroke patients was feasible. The system holds potentials to improve the limb function and to benefit stroke patients.

1 August 2017 in Medical Devices: Evidence and Research
Verified
Journal Article
Open access
PDF file
KTKotaro TAKEDA
Kotaro TAKEDA
GTGenichi Tanino
Genichi Tanino
HMHiroyuki Miyasaka
Hiroyuki Miyasaka
Neuromuscular electrical stimulation (NMES), specifically functional electrical stimulation (FES) that compensates for voluntary motion, and therapeutic electrical stimulation (TES) aimed at muscle strengthening and recovery from paralysis are widely used in stroke rehabilitation. The electrical stimulation of muscle contraction should be synchronized with intended motion to restore paralysis. Therefore, NMES devices, which monitor electromyogram (EMG) or electroencephalogram (EEG) changes with motor intention and use them as a trigger, have been developed. Devices that modify the current intensity of NMES, based on EMG or EEG, have also been proposed. Given the diversity in devices and stimulation methods of NMES, the aim of the current review was to introduce some commercial FES and TES devices and application methods, which depend on the condition of the patient with stroke, including the degree of paralysis.

15 January 2019 in Frontiers in Behavioral Neuroscience
Verified
Journal Article
Open access
PDF file
DIDaisuke Ishii
Daisuke Ishii
KTKotaro TAKEDA
Kotaro TAKEDA
SYSatoshi Yamamoto
Satoshi Yamamoto
ANAkira Noguchi
Akira Noguchi
KIKiyoshige Ishibashi
Kiyoshige Ishibashi
YKYutaka Kohno
Yutaka Kohno
The integration of multiple sensory modalities allows us to adapt to the environment of the outside world. It is widely known that visual stimuli interfere with the processing of auditory information, which is involved in the ability to pay attention. Additionally, visuospatial attention has the characteristic of laterality. It is unclear whether this laterality of visuospatial attention affects the processing of auditory stimuli. The sensorimotor gating system is a neurological process, which filters out unnecessary stimuli from environmental stimuli in the brain. Prepulse inhibition (PPI) is an operational measure of the sensorimotor gating system, which a weaker prestimulus (prepulse), such as a visual stimulus, inhibits the startle reflex elicited by a subsequent robust startling stimulus (pulse) such as a tone. Therefore, we investigated whether the visual stimulus from the left or right visual space affects the sensorimotor gating system in a “rest” task (low attentional condition) and a “selective attention” task (high attentional condition). In the selective attention task, we found that the target prepulse presented in the left and bilateral visual fields suppressed the startle reflex more than that presented in the right visual field. By contrast, there was no laterality of PPI in the no-target prepulse condition, and there was no laterality of PPI in the rest task. These results suggest that the laterality of visuospatial attention affects the sensorimotor gating system depending on the attentional condition. Moreover, the process of visual information processing may differ between the left and right brain.

1 October 2007 in Neuroscience Research
Verified
Journal Article
Closed access
KTKotaro TAKEDA
Kotaro TAKEDA
YGYukihiro Gomi
Yukihiro Gomi
IIItsuki Imai
Itsuki Imai
NSNobuaki Shimoda
Nobuaki Shimoda
MHMasao Hiwatari
Masao Hiwatari
HKHiroyuki Kato
Hiroyuki Kato