Abstract

ALZHEIMER’S DISEASE: A REVIEW

Dipti Chavan*, Amol Wadhave and Ashwini Kadam

ABSTRACT

In Alzheimer’s disease (AD), fibrilliar tau initially occurs locally and progresses preferentially between closely connected regions. Vascular disease is a known risk factor for Alzheimer’s disease (AD). Endothelial dysfunction has been linked to reduced cerebral blood flow. We aimed to compare the trajectories of QOL between amyloid-positive and amyloid-negative SCD or MCI patients and to evaluate QOL trajectories along the Alzheimer’s disease (AD) continuum of cognitively normal to dementia. Adults with Down syndrome are at an ultra-high risk of developing early-onset Alzheimer’s disease. Early and accurate diagnosis of Alzheimer’s disease (AD) is essential fordisease management and therapeutic choices that can delay disease progression. Machine learning (ML) approaches have been extensively used in attempts to develop algorithms for reliable early diagnosis of AD, although clinical usefulness, interpretability, and generalizability of the classifies across datasets and MRI protocols remain limited. This is a cross-sectional analysis of data collected in members of a large kindred with a PSEN1 E280A mutation. Participants were recruited between September 2011 and July 2012 from the Colombian Alzheimer’s Prevention Initiative registry. The studied cohort comprised 50 participants aged between 20 and 55 years, including 20 cognitively unimpaired mutation carriers, 9 cognitively impaired mutation carriers, and 21 non-carriers.

Keywords: Alzheimer’s disease, Dementia, Down syndrome, Episodic memory, MRI, Proton pump inhibitors.