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Dive into the research topics where Makio Oka is active.

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Featured researches published by Makio Oka.


Epilepsia | 2004

Very Fast Rhythmic Activity on Scalp EEG Associated with Epileptic Spasms

Katsuhiro Kobayashi; Makio Oka; Tomoyuki Akiyama; Takushi Inoue; Kiyoko Abiru; Tatsuya Ogino; Harumi Yoshinaga; Yoko Ohtsuka; Eiji Oka

Summary:  Purpose: Very fast activity was investigated on the ictal EEGs of epileptic spasms to elucidate the pathophysiology of West syndrome (WS) and related disorders from a novel point of view.


Brain & Development | 2006

Are pervasive developmental disorders and attention-deficit/hyperactivity disorder distinct disorders?

Junri Hattori; Tatsuya Ogino; Kiyoko Abiru; Kousuke Nakano; Makio Oka; Yoko Ohtsuka

We studied the relationship between patients with attention-deficit/hyperactivity disorder (ADHD) and those with pervasive developmental disorders (PDD), using the High-Functioning Autism Spectrum Screening Questionnaire (ASSQ) and ADHD Rating Scale-IV. The ASSQ scores of the PDD group and the ADHD group were significantly higher than the control group. Furthermore, the PDD group scored higher than the ADHD group. Both groups also showed higher scores than the control group in all three domains, that is, restricted and repetitive behavior, social interaction, and communication problem. The PDD and the ADHD group showed no significant difference in the domains of communication problem, and restricted and repetitive behavior. The PDD group had a higher score than the ADHD group only in the social interaction domain. In total score, inattention score, and hyperactivity/impulsivity score on the ADHD Rating Scale-IV, both groups were significantly higher than the control group. Between the ADHD and the PDD groups, there was no significant difference in the three scores. The patients with strictly diagnosed ADHD had many PDD-related symptoms, and the patients with PDD had many ADHD-related symptoms. It therefore seems difficult to make a distinction between ADHD and PDD by using the present diagnostic criteria in the DSM-IV. We should evaluate each patient in terms of both sets of criteria.


Epilepsia | 2010

Scalp‐recorded high‐frequency oscillations in childhood sleep‐induced electrical status epilepticus

Katsuhiro Kobayashi; Yoshiaki Watanabe; Takushi Inoue; Makio Oka; Harumi Yoshinaga; Yoko Ohtsuka

Because high‐frequency oscillations (HFOs) may affect normal brain functions, we examined them using electroencephalography (EEG) in epilepsy with continuous spike‐waves during slow‐wave sleep (CSWS), a condition that can cause neuropsychological regression. In 10 children between 6 and 9 years of age with epilepsy with CSWS or related disorders, we investigated HFOs in scalp EEG spikes during slow‐wave sleep through temporal expansion of the EEG traces with a low‐cut frequency filter at 70 Hz as well as through time‐frequency power spectral analysis. HFOs (ripples) concurrent with spikes were detected in the temporally expanded traces, and the frequency of the high‐frequency peak with the greatest power in each patient’s spectra ranged from 97.7 to 140.6 Hz. This is the first report on the detection of HFOs from scalp EEG recordings in epileptic patients. We speculate that epileptic HFOs may interfere with higher brain functions in epilepsy with CSWS.


Epilepsia | 2011

High-frequency oscillations in idiopathic partial epilepsy of childhood

Katsuhiro Kobayashi; Harumi Yoshinaga; Yoshihiro Toda; Takushi Inoue; Makio Oka; Yoko Ohtsuka

Purpose:  We explored high‐frequency oscillations (HFOs) in scalp sleep electroencephalography (EEG) studies of patients with idiopathic partial epilepsy (IPE) of childhood in order to obtain a better understanding of the pathologic mechanisms underlying IPE.


Annals of Neurology | 2015

A storm of fast (40–150Hz) oscillations during hypsarrhythmia in West syndrome

Katsuhiro Kobayashi; Tomoyuki Akiyama; Makio Oka; Fumika Endoh; Harumi Yoshinaga

Fast oscillations (FOs) were first explored from scalp electroencephalographic (EEG) data from hypsarrhythmia in West syndrome (infantile spasms) to investigate the meaning of FOs in this epileptic encephalopathy.


Brain & Development | 2008

Spectral characteristics of EEG gamma rhythms associated with epileptic spasms

Takushi Inoue; Katsuhiro Kobayashi; Makio Oka; Harumi Yoshinaga; Yoko Ohtsuka

To elucidate the pathophysiology of epileptic spasms, unaveraged time-frequency spectra of spasm-associated EEG gamma rhythms were investigated in 15 patients with West syndrome or related disorders. Using these unaveraged spectra, we were able to investigate in detail various aspects of the structure of ictal gamma rhythms that could not be examined using averaged spectra. The characteristics of the ictal gamma peaks (peak frequency, power, duration, and the number of peaks in each brain-region for each spasm) were statistically evaluated with respect to their differences among the brain regions and over the time-course of the clusters. Our findings were as follows: (1) Gamma peaks were clearly detected in most spectra and generally had a similar pattern in each spasm, which repeated in clusters. (2) The mean frequency of gamma peaks was 69.2+/-16.8Hz, and the number of peaks in each brain region of each spasm was 1.83+/-1.16. (3) The occipitoparietal gamma peaks had significantly greater power and longer duration than the frontocentral peaks. (4) The frequency of the gamma peaks was higher in the mid phase of clusters than in the ending, and it tended to have a positive correlation with its latency from the preceding beta peak. An analysis of the ictal gamma rhythms might give some insight into the generative mechanism of spasms.


Epilepsia | 2006

EEG dipole characteristics in Panayiotopoulos syndrome

Harumi Yoshinaga; Michael Koutroumanidis; Katsuhiro Kobayashi; Atsushi Shirasawa; Kenichi Kikumoto; Takushi Inoue; Makio Oka; Yoko Ohtsuka

Summary:  Purpose: Panayiotopoulos syndrome (PS) is a type of benign childhood partial epilepsy that is frequently associated with abundant multifocal spikes other than main occipital spikes on the EEG. In this study, we investigated the characteristic features of dipoles in PS.


Epilepsia | 2005

Characteristics of Slow Waves on EEG Associated with Epileptic Spasms

Katsuhiro Kobayashi; Makio Oka; Takushi Inoue; Tatsuya Ogino; Harumi Yoshinaga; Yoko Ohtsuka

Summary:  Purpose: The high‐voltage slow waves (HVSs) on EEG associated with epileptic spasms were investigated to clarify their characteristics and their relation to the pathophysiology of spasms in West syndrome and related disorders.


Clinical Neurophysiology | 2003

A simulation study of the error in dipole source localization for EEG spikes with a realistic head model

Katsuhiro Kobayashi; Harumi Yoshinaga; Makio Oka; Yoko Ohtsuka; Jean Gotman

OBJECTIVE We tried to determine the error range of dipole modeling for EEG spikes originating from various clinically important sources by a simulation study employing a realistic head model. The computed error range was also compared with the degree of disturbance of dipole modeling caused by adding background activity to the spike. METHODS The scalp fields generated by temporal, frontal and rolandic epileptic sources with spatial extent were simulated, and the corresponding 3-dimensional maps of residual variance (RV) were built by computing the RV for a single dipole at each point on a fine imaginary grid in the brain. Single dipole modeling was also performed for the simulated scalp fields after adding real background activity. RESULTS The brain volume corresponding to a small RV was compact for the frontal sources and the lateral and baso-mesial temporal sources, and large for the anterior and baso-lateral temporal sources. The distribution of dipoles estimated for spikes contaminated with background corresponded to that of the volume of small RV and to spike-amplitude. Estimates were improved by employing inferior temporal electrodes. CONCLUSIONS When evaluating dipole models of epileptic spikes, error ranges can be estimated and they vary considerably from region to region. SIGNIFICANCE This study illustrates the variability of the error in dipole modeling of epileptic spikes. This variability is important when considering the clinical interpretation of modeling results.


Brain & Development | 2009

Predicting executive function task scores with the Rey-Osterrieth Complex Figure.

Tatsuya Ogino; Kiyoko Watanabe; Kousuke Nakano; Yoko Kado; Teruko Morooka; Akihito Takeuchi; Makio Oka; Satoshi Sanada; Yoko Ohtuska

The Boston Qualitative Scoring System (BQSS) is one of the scoring methods of the Rey-Osterrieth Complex Figure Test (ROCF). With BQSS, 17 qualitative ratings are generated, and subsequently 6 summary scores are calculated by combining several qualitative scores. Previously we showed that 5 of 6 BQSS summary scores were correlated with the scores of the several executive function tests in children. The objective of this study was to develop a new summary score which correlates with the executive function test scores more strongly than the existing summary scores. For this purpose, we conducted multiple regression analysis to predict PEN, CA, DSM of the Wisconsin Card Sorting Test Keio Version, and the Mazes scores from WISC-III, by the BQSS qualitative scores derived from ROCF drawings in copy condition. The subjects were 78 children with various neuropsychological disorders (5 years 5 months-14 years 11 months; mean: 9 years 2 months; F 22, M 56). Significant predictive models were generated for PEN, CA, and Mazes scores. Among them the models for the Mazes scores were the most accurate. The second model for the Mazes scores was most suitable for a new summary score. Its degree-of-freedom-adjusted coefficient of multiple determination and multiple correlation coefficient reached 0.467 and 0.695, respectively. A new summary score should be applied in future studies to evaluate its clinical usefulness.

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