Our results suggest that actigraphy may be useful for measurement of mean TST, SE, and WASO values in groups of patients with mild to moderate Parkinson's disease. However, there is a significant degree of variability in accuracy among individual patients. The importance of determining optimal scoring parameters for each population studied is underscored.

The MusEQ provides a meaningful and reliable option for measuring music engagement among participants who are unable to complete a self-report questionnaire.

The ability to identify a specific type of leukemia using minimally invasive biopsies holds great promise to improve the diagnosis, treatment selection, and prognosis prediction of patients. Using genome-wide methylation profiling and machine learning methods, we investigated the utility of CpG methylation status to differentiate blood from patients with acute lymphocytic leukemia (ALL) or acute myelogenous leukemia (AML) from normal blood. We established a CpG methylation panel that can distinguish ALL and AML blood from normal blood as well as ALL blood from AML blood with high sensitivity and specificity. We then developed a methylation-based survival classifier with 23 CpGs for ALL and 20 CpGs for AML that could successfully divide patients into high-risk and low-risk groups, with significant differences in clinical outcome in each leukemia type. Together, these findings demonstrate that methylation profiles can be highly sensitive and specific in the accurate diagnosis of ALL and AML, with implications for the prediction of prognosis and treatment selection.

No abstract

Previous literature has shown the importance of music engagement in everyday living, particularly for regulating emotions and enhancing the quality of life. However, the benefits individuals derive from music vary based on degree and method of use. Current measures of music engagement are designed for healthy populations and rely heavily on introspective self-report. Unfortunately, special populations with cognitive deficits, such as dementia patients, cannot accurately report introspective emotions and mood. Thus, there is a need for a more concrete behavioural-based measure suitable for reporting by a third party. The current study addressed these issues by developing a music engagement questionnaire suitable for dementia patients. The questionnaire will be tested with a large sample of adults with a range of ages. Furthermore, the questionnaire will undergo statistical analysis to determine validity and reliability. The result will be a measure of music engagement suitable for use with participants who suffer from dementia or other cognitive disorders.