Unadjusted and adjusted (for age, sex, height, and ECVT at baseline) group differences on ECVT significantly favored the MISC arm at 6months (P=.03; 95% CI (0.01, 0.11), effect size=0.46) but not at 12months. Both groups made significant gains in sustained attention across the year-long intervention (P=.021) with no significant interaction effects…[Read more]

Unadjusted and adjusted (for age, sex, height, and ECVT at baseline) group differences on ECVT significantly favored the MISC arm at 6months (P=.03; 95% CI (0.01, 0.11), effect size=0.46) but not at 12months. Both groups made significant gains in sustained attention across the year-long intervention (P=.021) with no significant interaction effects…[Read more]

Unadjusted and adjusted (for age, sex, height, and ECVT at baseline) group differences on ECVT significantly favored the MISC arm at 6months (P=.03; 95% CI (0.01, 0.11), effect size=0.46) but not at 12months. Both groups made significant gains in sustained attention across the year-long intervention (P=.021) with no significant interaction effects…[Read more]

In this study, we measured the convergence rate using the mean-squared error (MSE) of the standardized neuropsychological test to determine the severity of Parkinson’s disease dementia (PDD), which is based on support vector machine (SVM) regression (SVR) and present baseline data in order to develop a model to predict the severity of PDD. We…[Read more]

In this study, we measured the convergence rate using the mean-squared error (MSE) of the standardized neuropsychological test to determine the severity of Parkinson’s disease dementia (PDD), which is based on support vector machine (SVM) regression (SVR) and present baseline data in order to develop a model to predict the severity of PDD. We…[Read more]

In this study, we measured the convergence rate using the mean-squared error (MSE) of the standardized neuropsychological test to determine the severity of Parkinson’s disease dementia (PDD), which is based on support vector machine (SVM) regression (SVR) and present baseline data in order to develop a model to predict the severity of PDD. We…[Read more]

In this study, we measured the convergence rate using the mean-squared error (MSE) of the standardized neuropsychological test to determine the severity of Parkinson’s disease dementia (PDD), which is based on support vector machine (SVM) regression (SVR) and present baseline data in order to develop a model to predict the severity of PDD. We…[Read more]