Long non-coding RNAs H19 and NKILA are associated with the risk of death and lacunar stroke in the elderly population.

Introduction: Differential expression of long non-coding RNAs (lncRNAs) is a hallmark of cardiovascular aging, cerebrovascular diseases, and neurodegenerative disorders. This research article investigates the association between a panel of lncRNAs and the risk of death and ischemic stroke in a cohort of non-institutionalized elderly subjects.

Method: A total of 361 healthy individuals aged 75 years old, prospectively recruited in the Vienna Transdanube Aging (VITA) cohort, were included.

Prediction of Autopsy Verified Neuropathological Change of Alzheimer's Disease Using Machine Learning and MRI.

Alzheimer's disease (AD) is the most common form of dementia. While neuropathological changes pathognomonic for AD have been defined, early detection of AD prior to cognitive impairment in the clinical setting is still lacking. Pioneer studies applying machine learning to magnetic-resonance imaging (MRI) data to predict mild cognitive impairment (MCI) or AD have yielded high accuracies, however, an algorithm predicting neuropathological change is still lacking.

Influence of vascular risk factors on executive function among an age-homogeneous elderly cohort.

The pathogenesis of executive dysfunction in geriatric depression remains uncertain although causal bidirectional relationships with depression have been discussed. Previous studies have described a potential link with 'vascular depression'. In this study, we investigate the influence of vascular risk factors and magnetic resonance imaging markers of structural brain ageing, such as increasing deep white matter hyperintensities (DWMH), on executive function in an age-homogeneous population-based study cohort.