Publications by authors named "A V Vipin"
Article Synopsis
- - This study investigates how various predictor domains contribute to predicting dementia in older adults and aims to improve a basic dementia risk prediction model (DRPM) by adding five different types of predictors.
- - Using data from the UK Biobank, the researchers collected 55 predictors grouped into clinical history, questionnaires, cognitive tests, genetic risk, and neuroimaging to analyze their impact on predicting all-cause dementia, Alzheimer's disease, and vascular dementia.
- - The findings showed that neuroimaging yielded the highest added value for predicting dementia types, suggesting that using a combination of different predictor domains can enhance prediction accuracy, although selecting predictors involves some trade-offs.
Biomarkers and Cognition Study, Singapore (BIOCIS): Protocol, Study Design, and Preliminary Findings.
J Prev Alzheimers Dis
July 2024
Background: The focus of medicine is shifting from treatment to preventive care. The expression of biomarkers of dementia and Alzheimer's disease (AD) appear decades before the onset of observable symptoms, and evidence has emerged supporting pharmacological and non-pharmacological interventions to treat modifiable risk factors of dementia. However, there is limited research on the epidemiology, clinical phenotypes, and underlying pathobiology of cognitive diseases in Asian populations.
View Article and Find Full Text PDFCerebral small vessel disease (SVD) may be associated with an increased risk of depressive symptoms. Serum uric acid (SUA), an antioxidant, may be involved in the occurrence and development of depressive symptoms, but the mechanism remains unknown. Moreover, the relationship between structural brain networks and SUA has not been explored.
View Article and Find Full Text PDFBackground: The use of structural and perfusion brain imaging in combination with behavioural information in the prediction of cognitive syndromes using a data-driven approach remains to be explored. Here, we thus examined the contribution of brain structural and perfusion imaging and behavioural features to the existing classification of cognitive syndromes using a data-driven approach.
Methods: Study participants belonged to the community-based Biomarker and Cognition Cohort Study in Singapore who underwent neuropsychological assessments, structural-functional MRI and blood biomarkers.
Background: Mild behavioral impairment (MBI) is one of the earliest observable changes when a person experiences cognitive decline and could be an early manifestation of underlying Alzheimer's disease neuropathology. Limited attention has been given to investigating the clinical applicability of behavioral biomarkers for detection of prodromal dementia.
Objective: This study compared the prevalence of self-reported MBI and vascular risk factors in Southeast Asian adults to identify early indicators of cognitive impairment and dementia.