Yalin Wang

This study investigates thalamocortical network dynamics in focal epilepsy using SEEG data, finding that thalamic aperiodic slope changes correlate with seizure propagation and feedback mechanisms.

qPRF accelerates population receptive field decoding of BOLD fMRI by 1400x, achieving equivalent goodness-of-fit to conventional methods.

This paper develops and validates an integrated model combining MRI and blood-based biomarkers to predict brain amyloid PET positivity with high accuracy.

The paper uses causal brain network analysis of ECoG data to predict surgical outcomes in drug-resistant epilepsy patients, finding significant differences in causal connectivity in the alpha frequency band.

The paper identifies 60 genetic loci associated with brain ventricular and subcortical shape features using shape measures from over 45,000 UK Biobank and ABCD study subjects.

This paper introduces a federated model to integrate sMRI, GWAS, and transcriptomics data in Alzheimer's disease to identify genetic and transcriptomic influences on brain imaging measures.

This paper introduces FMFS, a framework for selecting hippocampal morphometry features linked to Aβ/tau pathology, showing it outperforms existing methods and identifies key subregions for biomarker development.

This paper develops a method to predict brain amyloid burden using MRI-based morphometry statistics and sparse coding, achieving high accuracy in ADNI and OASIS cohorts.