John A. E. Anderson

This paper uses propensity score matching to address motion artifacts in MRI scans, improving group comparability and reducing bias in neuroimaging analyses.

This study investigates how bilingualism contributes to cognitive reserve by examining structural and functional brain differences in older adults.

This paper introduces OViTAD, an optimized vision transformer that predicts Alzheimer's disease stages using resting-state fMRI and structural MRI data, achieving high accuracy with fewer parameters.

The paper curates and provides analysis-ready diffusion MRI data for pediatric brain white-matter research, including automated quality control using a trained neural network.

This study uses MEG to examine neural activity during a Go/No-Go task in medication-naive OCD youth and typically developing controls, finding altered motor and orbitofrontal cortex responses.

The paper shows that memory representation changes over time in rats and humans, with shifts from hippocampal to prefrontal cortex activity as memories age.

Caffe LeNet and GoogleNet trained on 2D slices from ADNI scans of adults over 75 report 98.84% to near-perfect accuracy, and 100% per subject for MRI after majority voting.