Publications by authors named "De-Yang Zeng"
BackgroundHome-dwelling situations (HDS) and neighborhood social interactions (NSI) significantly impact older adults' post-retirement lives. However, their relationship with subjective cognitive decline plus (SCD-plus), a potential biomarker of preclinical Alzheimer's disease (AD), remains uncertain.ObjectiveTo explore the association between NSI, HDS and SCD-plus among older adults.
View Article and Find Full Text PDFPredicting Progression to Dementia Using Auditory Verbal Learning Test in Community-Dwelling Older Adults Based On Machine Learning.
Am J Geriatr Psychiatry
May 2025
Article Synopsis
- This study focused on creating machine learning models to identify predictive features of dementia in older adults who initially showed normal cognition.
- Four models were developed and tested, with the random forest model showing the highest accuracy (93%) using factors like memory test results, education, and follow-up time.
- The findings suggest that this machine learning approach can effectively predict dementia in primary healthcare settings, helping to track cognitive changes and enable early intervention.
Synaptic cell adhesion molecules contribute to the pathogenesis and progression of fragile X syndrome.
Front Cell Neurosci
July 2024
Fragile X syndrome (FXS) is the most common form of inherited intellectual disability and a monogenic cause of autism spectrum disorders. Deficiencies in the fragile X messenger ribonucleoprotein, encoded by the gene, lead to various anatomical and pathophysiological abnormalities and behavioral deficits, such as spine dysmorphogenesis and learning and memory impairments. Synaptic cell adhesion molecules (CAMs) play crucial roles in synapse formation and neural signal transmission by promoting the formation of new synaptic contacts, accurately organizing presynaptic and postsynaptic protein complexes, and ensuring the accuracy of signal transmission.
View Article and Find Full Text PDFArticle Synopsis
- The study investigates the link between air pollution and the risk of mild cognitive impairment (MCI) in older adults in China, using data from the Hubei Memory and Aging Cohort Study.
- Results show that higher levels of pollutants like PM2.5 and PM10 significantly increase the odds of developing MCI, particularly in older individuals.
- The findings highlight the need for more research across different populations to further understand and address the impact of air pollution on cognitive health in aging populations.