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Dive into the research topics where Yuko Mizuno-Matsumoto is active.

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Featured researches published by Yuko Mizuno-Matsumoto.


Neuroreport | 2000

Theta rhythm increases in left superior temporal cortex during auditory hallucinations in schizophrenia : a case report

Ryouhei Ishii; Kazuhiro Shinosaki; Yoshitaka Ikejiri; Satoshi Ukai; Ko Yamashita; Masao Iwase; Yuko Mizuno-Matsumoto; Tsuyoshi Inouye; Toshiki Yoshimine; Norio Hirabuki; Stephen E. Robinson; Masatoshi Takeda

Auditory hallucinations (AH), the perception of sounds and voices in the absence of external stimuli, remain a serious problem for a large subgroup of patients with schizophrenia. Functional imaging of brain activity associated with AH is difficult, since the target event is involuntary and its timing cannot be predicted. Prior efforts to image the patterns of cortical activity during AH have yielded conflicting results. In this study, MEG was used to directly image the brain electrophysiological events associated with AH in schizophrenia. We observed an increase in theta rhythm, as sporadic bursts, in the left superior temporal area during the AH states, whereas there was steady theta band activity in the resting state. The present finding suggests strong association of the left superior temporal cortex with the experience of AH in this patient. This is consistent with the hypothesis that AH arises from areas of auditory cortex subserving receptive language processing.


Clinical Neurophysiology | 2002

Wavelet-crosscorrelation analysis can help predict whether bursts of pulse stimulation will terminate afterdischarges

Yuko Mizuno-Matsumoto; Gholam K. Motamedi; W. Robert S. Webber; Ronald P. Lesser

OBJECTIVE Extraoperative cortical localizing stimulation (LS) is a standard clinical tool used to assess brain function before epilepsy surgery. However, LS can produce unwanted afterdischarges (ADs). We previously have shown that brief pulses of electrical stimulation (BPS) can terminate ADs caused by cortical stimulation. Our objective was to assess whether wavelet-crosscorrelation analysis could help predict the conditions under which BPS would be most likely to terminate ADs. METHODS We used wavelet-crosscorrelation analysis to get wavelet-correlation coefficients (WCC), and determine time lag (TL) and absolute value of TL (ATL) between two electrodes. For Analysis-1, we compared WCC and ATL in epoch 1 which was before LS, epoch 2 which was after LS but before BPS, and epoch 3 which was after BPS. For Analysis 2, we compared WCC and ATL during epoch 1 under 4 conditions: epochs when ADs subsequently terminated within 2 s after the end of BPS (1A), terminated within 2-5 s (1B), did not terminate within 5 s (1C), and when ADs did not appear (1D). RESULTS We found that BPS efficacy in terminating ADs was predicted by (1) low correlation and (2) slow propagation speed between electrode pairs in the 2-10 s period before stimulation. CONCLUSIONS Wavelet-crosscorrelation analysis can help predict conditions during which BPS can abort ADs. It is possible that similar analyses could help predict when BPS or other interventions could abort clinical seizures.


Concurrency and Computation: Practice and Experience | 2005

Neuroscience instrumentation and distributed analysis of brain activity data: a case for eScience on global Grids

Rajkumar Buyya; Susumu Date; Yuko Mizuno-Matsumoto; Srikumar Venugopal; David Abramson

The distribution of knowledge (by scientists) and data sources (advanced scientific instruments), and the need for large‐scale computational resources for analyzing massive scientific data are two major problems commonly observed in scientific disciplines. Two popular scientific disciplines of this nature are brain science and high‐energy physics. The analysis of brain‐activity data gathered from the MEG (magnetoencephalography) instrument is an important research topic in medical science since it helps doctors in identifying symptoms of diseases. The data needs to be analyzed exhaustively to efficiently diagnose and analyze brain functions and requires access to large‐scale computational resources. The potential platform for solving such resource intensive applications is the Grid. This paper presents the design and development of MEG data analysis system by leveraging Grid technologies, primarily Nimrod‐G, Gridbus, and Globus. It describes the composition of the neuroscience (brain‐activity analysis) application as parameter‐sweep application and its on‐demand deployment on global Grids for distributed execution. The results of economic‐based scheduling of analysis jobs for three different optimizations scenarios on the world‐wide Grid testbed resources are presented along with their graphical visualization. Copyright


IEEE Transactions on Biomedical Engineering | 1999

Visualization of epileptogenic phenomena using cross-correlation analysis: localization of epileptic foci and propagation of epileptiform discharges

Yuko Mizuno-Matsumoto; Kozo Okazaki; Amami Kato; Toshiki Yoshimine; Yoshinobu Sato; Shinichi Tamura; Toru Hayakawa

The main objectives of the preoperative evaluation of a patient with medically intractable epileptic seizures are localization of the foci and propagation of the epileptiform discharges. Electrocorticographic (ECoG) data of intractable focal epilepsy were analyzed using an AR model, wavelet analysis, and cross-correlation analysis. In order to derive the time-shifts, the cross correlations of the epileptiform discharges were calculated between electrodes for every unit of time. Further analyses mere made by means of a set of contour maps of the time-shifts and sequential two- and three-dimensional visualizations of the time-shift maps in order to localize the epileptic foci and study their propagation process. Two types of foci and propagation mere revealed in the results, In the first type, epileptiform discharges were generated at localized focal sites and spread quickly to other sites. In the second type, the foci of epileptiform discharges, which appeared soon after the former bursts, were localized at more than one site, and the discharges tended to spread more slowly. The findings suggest that epileptic phenomena can be caused by at least two kinds of mechanisms in one patient: in the former, the propagation might be mediated through synaptic projections, while in the latter, the extracellular diffusion of an excitatory factor might play an important role. In addition, our newly developed visualization technique for the localization of epileptic foci and the propagation of epileptiform discharges should prove useful in the study of epileptogenesis etiology.


Neuroscience Letters | 2002

Parallel distributed processing neuroimaging in the Stroop task using spatially filtered magnetoencephalography analysis

Satoshi Ukai; Kazuhiro Shinosaki; Ryouhei Ishii; Asao Ogawa; Yuko Mizuno-Matsumoto; Tsuyoshi Inouye; Norio Hirabuki; Toshiki Yoshimine; Stephen E. Robinson; Masatoshi Takeda

Parallel distributed processing neuroimaging in the Stroop color word interference task in five healthy subjects was studied. The total reaction time was set at 650 ms with a time window of 200 ms in steps of 50 ms. Spatially filtered magnetoencephalography analysis, as used in synthetic aperture magnetometry, was used. Neural activation began in the left posterior parietal-occipital area (150-250 ms post-stimulus), followed by the right prefrontal polar area (250-350 ms), the left dorsolateral prefrontal cortex (250-400 ms), and the mid- to lower- primary motor area (350-400 ms). Successive and temporally overlapping activation of various cortical regions were successfully estimated within a short 200 ms time interval, contrary to previous positron emission tomography and fMRI studies.


systems, man and cybernetics | 2006

Analysis of dementia in aged subjects through chaos analysis of fingertip pulse waves

Mayumi Oyama-Higa; Teijun Miao; Yuko Mizuno-Matsumoto

The fingertip pulse waves (plethysmograms) of 179 elderly people were measured and chaos analysis were performed on these waves to calculate the largest Lyapunov exponent, we acquired dementia data and ADL index recorded by healthcare professionals for the same subjects. We discovered a significant relationship between the value of the largest Lyapunov exponent and the degree of dementia and also communication skill. The relationship is displayed as a constellation graph of the time series.


Neuropsychobiology | 2006

Spatially Filtered Magnetoencephalographic Analysis of Cortical Oscillatory Changes in Basic Brain Rhythms during the Japanese ‘Shiritori’ Word Generation Task

Masakiyo Yamamoto; Satoshi Ukai; Kazuhiro Shinosaki; Ryouhei Ishii; Shunsuke Kawaguchi; Asao Ogawa; Yuko Mizuno-Matsumoto; Norihiko Fujita; Toshiki Yoshimine; Masatoshi Takeda

Background: ‘Shiritori’ (capping verses) is a traditional Japanese word generation game, and is very familiar to native Japanese speakers. The shiritori task is expected to more strongly activate temporal language-related regions than conventional word generation to letters because of its characteristic way to make cue letters. Objectives: The aim of this study was to examine the cortical oscillatory changes in basic brain rhythms during silently performing a shiritori task. Methods: Using synthetic aperture magnetometry (SAM) analysis of magnetoencephalography, we estimated the tomographic distributions of the statistically significant differences of the power in the alpha and beta frequency bands between the resting and the task periods. Results: Significant event-related desynchronization (ERD) in the 8- to 25-Hz band, thought to reflect neural activation, was localized within task-related cortical regions with left-side dominance. The significant ERDs were estimated in both the frontal and temporal language-related regions encompassing Broca’s and Wernicke’s areas, although previous neuroimaging studies using word generation to letters showed neural activation predominantly in frontal regions. Conclusions: Our results show the potential of SAM analysis for reliable brain mapping of language processing, and suggest that the shiritori task might be more suitable for examining the language-related network in the brain than conventional word generation to letters.


Computational Intelligence and Neuroscience | 2012

Random bin for analyzing neuron spike trains

Shinichi Tamura; Tomomitsu Miyoshi; Hajime Sawai; Yuko Mizuno-Matsumoto

When analyzing neuron spike trains, it is always the problem of how to set the time bin. Bin width affects much to analyzed results of such as periodicity of the spike trains. Many approaches have been proposed to determine the bin setting. However, these bins are fixed through the analysis. In this paper, we propose a randomizing method of bin width and location instead of conventional fixed bin setting. This technique is applied to analyzing periodicity of interspike interval train. Also the sensitivity of the method is presented.


Neuropsychobiology | 2005

Information Processing Flow and Neural Activations in the Dorsolateral Prefrontal Cortex in the Stroop Task in Schizophrenic Patients A Spatially Filtered MEG Analysis with High Temporal and Spatial Resolution

Shunsuke Kawaguchi; Satoshi Ukai; Kazuhiro Shinosaki; Ryouhei Ishii; Masakiyo Yamamoto; Asao Ogawa; Yuko Mizuno-Matsumoto; Norihiko Fujita; Toshiki Yoshimine; Masatoshi Takeda

Using a spatially filtered magnetoencephalography analysis (synthetic aperture magnetometry), we estimated neural activations in the Stroop task in nearly real time for schizophrenic patients with/without auditory hallucinations and for normal control subjects. In addition, auditory hallucinations were examined through the information processing flow of the brain neural network, including the frontal regions. One hundred unaveraged magnetoencephalography signals during the incongruent stimulus responses were analyzed with a time window of 200 ms in steps of 50 ms. In the 25–60-Hz band, cortical regions that showed significant current source density changes were examined for each time window. The three groups showed significantly decreased current source density, corresponding to neural activation, with temporal overlap along the fundamental cognitive information processing flow: sensory input system, executive control system, motor output system. Transient neural activations in the dorsolateral prefrontal cortexwere bilateral with left-side dominancy for normal controls, left-lateralized for nonhallucinators and right-lateralized for hallucinators. Our results suggest that the dysfunction in the left dorsolateral prefrontal cortex was related to auditory hallucinations, while the information processing flow was unaffected in the schizophrenic subjects in the Stroop task.


Brain Topography | 2001

Transient global amnesia (TGA) in an MEG study.

Yuko Mizuno-Matsumoto; Masatsugu Ishijima; Kazuhiro Shinosaki; Takashi Nishikawa; Satoshi Ukai; Yoshitaka Ikejiri; Yoshitsugu Nakagawa; Ryouhei Ishii; Hiromasa Tokunaga; Shinichi Tamura; Susumu Date; Tsuyoshi Inouye; Shinji Shimojo; Masatoshi Takeda

A patient who had experienced an attack of transient global amnesia (TGA) was examined using neurophysiological methods. Magnetoencephalography (MEG) was performed and the Wechsler Memory Scale-Revised (WMS-R) test was administered at 5 days and at more than a month after the TGA episode. MEG data on neuronal activity obtained while the patient was undertaking a working memory task and during rest were analyzed using the wavelet-crosscorrelation method, which reveals time-lag and information flow between related sites in the brain. The WMS-R memory scores showed dramatic improvement when the test was administered a month following the attack, although no significant changes were observed in EEG, MRI and SPECT data. The MEG study revealed that under a working memory load how the neuron works functionally and the information propagates assembly within the right hemisphere, and that these brain functions were not performed adequately shortly after the TGA attack.

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