Lu Zhao

White Matter Slow-4 fALFF as a Complementary Marker in the Multimodal Alzheimer's Disease Biomarker Landscape

This study evaluates white matter slow-4 fALFF as a biomarker for Alzheimer's disease, finding it captures unique variance in neurodegeneration markers beyond traditional imaging metrics.

Genetic architecture and biological relevance of intrinsic white matter functional activity

This study identifies genetic associations with white matter functional activity, showing heritability and links to cognition but not neuropsychiatric disorders.

Improving brain age estimates with deep learning leads to identification of novel genetic factors associated with brain aging

This study improves brain age prediction using deep learning and identifies four genetic loci associated with brain aging, three of which are novel.

Mapping Complex Brain Torque Components and Their Genetic and Phenomic Architecture in 24,112 healthy individuals

This study analyzes brain torque components in 24,112 individuals, finding sex/handedness differences, heritability up to 56%, and genome- and phenome-wide associations with various traits.

Compressive Big Data Analytics: An Ensemble Meta-Algorithm for High-dimensional Multisource Datasets

This paper introduces an improved version of the CBDA algorithm for handling high-dimensional multisource datasets, validated on synthetic and real-world health data.

Association of brain age with smoking, alcohol consumption, and genetic variants

This study investigates the association between brain age and smoking, alcohol consumption, and genetic variants using UK Biobank data, finding significant links with smoking and alcohol use but not genetic variants.

BDQC: a general-purpose analytics tool for domain-blind validation of Big Data

BDQC identifies data outliers and anomalies in large-scale genomic pipelines without domain knowledge, improving data quality and enabling new insights.