Results 21 to 30 of about 509,561 (237)
Identifying Dementia Subtypes with Electronic Health Records [PDF]
Dementia is characterized by a decline in memory and thinking that is significant enough to impair function in activities of daily living. Patients seen in dementia specialty clinics are highly heterogeneous with a variety of different symptoms that progress at different rates.
arxiv
Neurodegenerative disorders: Spread of misfolded protein aggregates Further research is needed to determine how an aggregate-forming protein common to several neurodegenerative disorders propagates throughout the brain.
Myungjin Jo+5 more
doaj +1 more source
Background The growing literature on Patient and Public Involvement and Engagement (PPIE) and dementia identifies specific problems related to the influence that involvement has on research outcomes, over‐reliance on family members as proxies and lack of
Andrea Capstick+7 more
doaj +1 more source
Identifying individuals with high risk of Alzheimer’s disease using polygenic risk scores
While polygenic risk scores have been shown to be correlated with disease risk, there is little agreement on how the score should be calculated. Here the authors investigate risk scores for Alzheimer’s disease, finding that the most effective approach ...
Ganna Leonenko+7 more
doaj +1 more source
Developing a Novel Holistic, Personalized Dementia Risk Prediction Model via Integration of Machine Learning and Network Systems Biology Approaches [PDF]
The prevalence of dementia has increased over time as global life expectancy improves and populations age. An individual's risk of developing dementia is influenced by various genetic, lifestyle, and environmental factors, among others. Predicting dementia risk may enable individuals to employ mitigation strategies or lifestyle changes to delay ...
arxiv
Objectives The aim of this study was to establish the impact of dementia education and training on the knowledge, attitudes and confidence of health and social care staff.
Sahdia Parveen+6 more
doaj +1 more source
Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data [PDF]
A significant number of studies apply acoustic and linguistic characteristics of human speech as prominent markers of dementia and depression. However, studies on discriminating depression from dementia are rare. Co-morbid depression is frequent in dementia and these clinical conditions share many overlapping symptoms, but the ability to distinguish ...
arxiv
Background Understanding the earliest manifestations of Alzheimer’s disease (AD) is key to realising disease-modifying treatments. Advances in neuroimaging and fluid biomarkers have improved our ability to identify AD pathology in vivo. The critical next
Antoinette O’Connor+9 more
doaj +1 more source
Activation of NMDA receptors in brain endothelial cells increases transcellular permeability
Neurovascular coupling is a precise mechanism that induces increased blood flow to activated brain regions, thereby providing oxygen and glucose.
Kyu-Sung Kim+4 more
doaj +1 more source
Joint latent class model for longitudinal data and interval-censored semi-competing events: Application to dementia [PDF]
Joint models are used in ageing studies to investigate the association between longitudinal markers and a time-to-event, and have been extended to multiple markers and/or competing risks. The competing risk of death must be considered in the elderly because death and dementia have common risk factors.
arxiv +1 more source