Tim Anderson

The paper evaluates if individualized head models improve source-space EEG functional connectivity predictions of cognition in Parkinson's disease, finding standard templates are sufficient.

The paper identifies thalamic volume reductions in Alzheimer's disease and shows their utility in classifying cognitive status and reclassifying patients.

The paper introduces DunedinPACNI, a brain MRI-based aging measure that predicts dementia conversion, morbidity, and mortality.

The paper demonstrates a data harmonization process for memory testing across 53 studies, reducing inter-site variance while preserving covariate effects.

The paper identifies key neuropsychological tests that predict dementia conversion in Parkinson's disease patients using logistic regression and elastic net methods.

The paper examines microstructural changes in thalamic nuclei across cognitive stages of Parkinson's disease and finds increased mean diffusivity correlates with cognitive decline, particularly in the lateral dorsal nucleus.

The paper uses nanopore sequencing to identify GBA variants in a Parkinson's disease cohort, finding several risk variants and a higher dementia prevalence among carriers.

This study finds that white matter hyperintensities (WMHs) are common in midlife and are associated with lower IQ and greater cognitive decline from childhood to midlife.

The paper improves age prediction from DNA methylation using larger datasets, showing reduced error and limitations in capturing biological ageing variation.