Christopher Chen

This study compares brain age models and direct models for predicting Alzheimer's Disease outcomes, finding that direct models perform better despite brain age models having larger training data.

The paper shows longer scans improve prediction accuracy in brain-wide association studies while reducing costs, with 30-minute scans being the most cost-effective.

This study tests a brain age model on Singaporean children and elderly, finding that brain age gap change relates to future executive function in both groups.

WMH-DualTasker is a weakly-supervised deep learning model that segments white matter hyperintensities and predicts visual ratings, outperforming supervised methods on benchmark datasets.

The paper examines how cerebrovascular disease markers and plasma p-tau181 interact to affect brain connectivity, grey matter volume, and cognitive decline over time.

The paper establishes international consensus criteria to classify ageing-related pathologies, diseases, and syndromes based on age progression, functional decline, and human evidence.

DeepResBat improves MRI data harmonization by addressing covariate distribution differences, outperforming existing methods while avoiding false associations.

This study identifies 67 genetic loci associated with head size, finding strong overlaps with cancer pathways and genes, suggesting shared genetic mechanisms between head growth and cancer risk.

This study identifies three novel genetic loci associated with brain arterial diameters through a genome-wide association analysis across diverse populations.

This study performs a meta-analysis of GWAS to identify new genetic loci associated with all-cause and vascular dementia, revealing shared and distinct risk factors.

This paper introduces a goal-specific MRI harmonization framework that improves downstream prediction performance by integrating application-specific constraints during harmonization.

This study shows that intermittent fasting reduces neurovascular damage and oxidative stress in a mouse model of vascular dementia.

This study compares hippocampal gene expression in young and old mice under chronic hypoperfusion and aging, identifying shared molecular pathways linked to vascular dementia.

This study shows that AIM2 inflammasome activation contributes to brain injury and cognitive impairment in a mouse model of vascular dementia.

The paper uses pSILAC to identify brain regions with high protein synthesis activity and links them to metabolic and synaptic functions.