Mengyun Wang

The paper uses connectopic mapping on UK Biobank data to analyze variation in language-related brain connectivity and identifies genetic loci associated with these patterns.

This study examines brain asymmetry in situs inversus totalis cases, finding no significant difference in functional asymmetries between genetically solved and unsolved cases, but altered structural asymmetries regardless of genetic cause.

This study integrates brain structure and function to identify genetic loci associated with language-related brain components using UK Biobank data.

The paper uses spatial transcriptomics to analyze left-right gene expression and cell type differences in mouse brain regions, finding transcriptional asymmetries but no significant cell type abundance differences.

This study shows brain age metrics from MRI do not reliably predict future brain changes but highlight modality-specific differences as potential cross-sectional markers.

The paper examines how white matter microstructure, assessed via diffusion MRI, correlates with age, BMI, blood pressure, and genetic factors across different life stages.

This study evaluates the stability of brain structure metrics over one year and identifies factors affecting their reliability.

This study assesses the intra-individual reliability of 1H-MRS measurements in the anterior cingulate cortex over one year, finding that metabolite levels are reliably quantified with small variability.

This paper evaluates brain age predictions across repeated time points and finds small within-subject correlations, field strength influence, and model biases.

The paper introduces a deep brain imaging dataset from the Bergen Breakfast Scanning Club project, detailing data acquisition and preprocessing protocols for three subjects over one year.