Mobile technology is opening a wide range of opportunities for transforming the standard of care for chronic disorders. Using smartphones as tools for longitudinally tracking symptoms could enable personalization of drug regimens and improve patient monitoring. Parkinson's disease (PD) is an ideal candidate for these tools. At present, evaluation of PD signs requires trained experts to quantify motor impairment in the clinic, limiting the frequency and quality of the information available for understanding the status and progression of the disease. Mobile technology can help clinical decision making by completing the information of motor status between hospital visits. This paper presents an algorithm to detect PD by analyzing the typing activity on smartphones independently of the content of the typed text. We propose a set of touchscreen typing features based on a covariance, skewness, and kurtosis analysis of the timing information of the data to capture PD motor signs. We tested these features, both independently and in a multivariate framework, in a population of 21 PD and 23 control subjects, achieving a sensitivity/specificity of 0.81/0.81 for the best performing feature and 0.73/0.84 for the best multivariate method. The results of the alternating finger-tapping, an established motor test, measured in our cohort are 0.75/0.78. This paper contributes to the development of a home-based, high-compliance, and high-frequency PD motor test by analysis of routine typing on touchscreens.

To evaluate the mortality, thirteen years after the baseline wave (1994), of participants suffering dementia in the Neurological Disorders in Central Spain (NEDICES) Cohort Study, we conducted a population-based cohort study in the elderly (65 years and more) with 5,278 screened participants at baseline. Mortality has been evaluated by means of the National Death Registry of Spain at 1-5-2007, 13 years after enrolment. Cox's proportional hazards regression models were used to evaluate the hazard of death according to dementia severity and type, adjusting for potential covariates (gender, age, level of education, and co-morbidity). Survival was estimated using Kaplan-Meier method. Of the 5,278 participants screened at baseline, 306 had dementia. Mortality at 13 years was: 275 deaths (89.9%) in dementia subjects; and 2,426 (49.0%) in subjects without dementia. Mortality was higher and statistically significant in dementia subjects. The degree of dementia (DSM-III-R) correlated with the risk of mortality, from mild (HR = 2.23; CI: 1.77–2.82) to moderate (HR =3.10; CI: 2.47–3.89) and severe dementia (HR = 4.98; CI: 3.85–6.44). Survival was similar in Alzheimer's disease and vascular dementia. Factors associated with higher mortality in Cox proportional hazard models were older age, male gender, and comorbidity. Using Population Attributable risk (PAR%), dementia was related to 11.3% of all deaths. Dementia intensity increases the mortality risk at ten years in the NEDICES Study as in other cohort studies. Age, gender, and co-morbidity are associated with higher mortality in dementia patients. Almost one third of deaths in persons over 85 years-old could be attributable to dementia.

Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

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Dementia remains an underdiagnosed syndrome, and there is a need to improve the early detection of cognitive decline. This narrative review examines the role of neuropsychological assessment in the characterization of cognitive changes associated with dementia syndrome at different states. The first section describes the early indicators of cognitive decline and the major barriers to their identification. Further, the optimal cognitive screening conditions and the most widely accepted tests are described. The second section analyzes the main differences in cognitive performance between Alzheimer’s disease and other subtypes of dementia. Finally, the current challenges of neuropsychological assessment in aging/dementia and future approaches are discussed. Essentially, we find that current research is beginning to uncover early cognitive changes that precede dementia, while continuing to improve and refine the differential diagnosis of neurodegenerative disorders that cause dementia. However, neuropsychology faces several barriers, including the cultural diversity of the populations, a limited implementation in public health systems, and the adaptation to technological advances. Nowadays, neuropsychological assessment plays a fundamental role in characterizing cognitive decline in the different stages of dementia, but more efforts are needed to develop harmonized procedures that facilitate its use in different clinical contexts and research protocols.

Up until now, no information has existed regarding a comparison of the pattern and frequency of cognitive deficits between radiologically isolated syndrome (RIS) and clinically isolated syndrome (CIS) patients. Within this objective, Rao’s Brief Repeatable Battery and Stroop test were administered to 28 RIS patients, 25 CIS patients, and 22 healthy controls. Conclusions: The prevalence of cognitive deficits in RIS was similar to that of CIS. Cognitive deficits seem to be present in RIS patients regardless of the presence of risk factors for a future symptomatic demyelinating event.