Quantitative EEG (qEEG) findings in Parkinson disease (PD) have been reported in only five previous studies. In these studies, the sample size was small and the distribution of qEEG changes was not estimated. This is the first qEEG evaluation not only employing multiple logistic regression analysis but also estimating the distribution of qEEG changes. The subjects comprised 45 PD patients without remarkable dementia and 40 age-adjusted normal controls. The lack of ischemic lesions in all subjects was confirmed by MRI. Absolute power values were measured for four frequency bands from delta to beta. The electrodes were divided into six, viz. frontal pole, frontal, central, parietal, temporal, and occipital locations. We calculated the spectral ratio, i.e., the sum of the power values in the alpha and beta waves divided by the sum of the values in the slow waves. The dependent variable was either PD or normal control; the independent variables were the spectral ratios, age, sex, and Mini-Mental State Examination score. The significant predictive variables in PD were the spectral ratios at all electrode locations except for the frontal pole (frontal location: P = 0.025, other locations: P < 0.01). PD presented diffuse slowing in the qEEG when compared with age-adjusted normal controls.

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BackgroundHigh body mass index (BMI) has been reported as a risk factor for cardiovascular events in Western countries, while low BMI has been reported as a risk factor for cardiovascular death in Asian countries, including Japan. Although stroke is a major cause of death and disability in Japan, few cohort studies have examined the association between BMI and stroke incidence in Japan. This study aimed to examine the association between BMI and stroke incidence using prospective data from Japanese community residents.MethodsData were analyzed from 12,490 participants in the Jichi Medical School Cohort Study. Participants were categorized into five BMI groups: ≤18.5, 18.6–21.9, 22.0–24.9, 25.0–29.9, and ≥30.0 kg/m2. Multivariate-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using the Cox proportional hazard model. The group with a BMI of 22.0–24.9 kg/m2 was used as the reference category.ResultsDuring mean follow-up of 10.8 years, 395 participants (207 men and 188 women) experienced stroke, including 249 cerebral infarctions and 92 cerebral hemorrhages. Men with a BMI ≤18.5 kg/m2 (HR 2.11; 95% CI, 1.17–3.82) and women with a BMI ≥30.0 kg/m2 (HR 2.25; 95% CI, 1.28–5.08) were at significantly higher risk for all-stroke. Men with a BMI ≤18.5 kg/m2 were at significantly higher risk for cerebral infarction (HR 2.15; 95% CI, 1.07–4.33).ConclusionsThe association between BMI and stroke incidence observed in this population was different than those previously reported: low BMI was a risk factor for all-stroke and cerebral infarction in men, while high BMI was a risk factor for all-stroke in women.

Multi-layered flyer ͑aluminum-polyimide-tantalum͒ is designed as a high speed flyer making use of shock impedance matching and reverberation techniques. The designed three layered targets have been irradiated using a 20 J laser beam. Flyer velocities are measured by observing the flyer impact emissions on glass step targets within a 500 m laser focal spot at laser intensities 5ϫ10 12-2 ϫ10 13 W/cm 2. Thin ͑0.5-1.0 m͒ Ta layers of the flyers are accelerated via shock reverberations between the thick polyimide and thin Ta layers for the first time using laser induced shock waves. Their velocities are measured to be more than 13 km/s with a good hydrodynamic stability. The obtained velocity is faster than the ones obtained by a conventional flyer method such as a double gas gun.

Abstract:The objective of this study was to evaluate the executive dysfunction (ExD) in Parkinson's disease (PD) using the Behavioral Assessment of the Dysexecutive Syndrome (BADS), which provides a wide-range assessment of ExD. The BADS and the Unified Parkinson's Disease Rating Scale (UP-DRS) were investigated in 63 nondemented PD patients who revealed scores of Ն24 points on the Mini-Mental State Examination based on the DSM-IV. Multiple logistic regression analysis was performed to evaluate the predisposing factors to ExD, which was defined as Ͻ70 points on the age-controlled standardized score. The total score on the UPDRS was a significant independent predisposing factor to ExD. Among the various parts of the UPDRS, part II was the significant factor for ExD. The profile scores of all subtests on the BADS in patients with ExD were significantly lower than those of patients without ExD. All profile scores decreased with severity of PD, but the changes among these scores differed. ExD in nondemented PD predisposed to a greater severity of PD, particularly as regards the activity of daily living impairment. Nondemented PD revealed wide-range components of ExD. All components of ExD were impaired with severity of PD, but the patterns of each component exhibited variety.