Kevin M. Anderson

This study identifies genetic and cellular factors associated with age-related changes in white matter microstructure using GWAS and transcriptomic data from UK Biobank.

This study identifies two ASD subgroups with distinct brain morphology using cross-cultural datasets, highlighting key brain regions associated with subgroup characteristics and autistic traits.

The paper shows that cell type distributions in the cortex are spatially aligned with functional organization patterns from fMRI.

This study examines reliability, heritability, and behavioral relevance of resting-state functional connectivity at different spatial scales in children, finding that fine-scale connectivity is more reliable but less heritable than coarse-scale connectivity.

The paper introduces a longitudinal dataset of school-age children and adolescents in China, detailing its design, sampling, and neuroimaging measurements.

The paper identifies new cortical gene expression components linked to neurodevelopment and finds associations with autism and schizophrenia across multiple data types.

This study shows that proportional intracranial volume correction affects the predictive accuracy and generalizability of brain-behavior models across anatomical features and populations.

This study identifies brain regions involved in tracking effort expenditure during sustained goal pursuit using fMRI and multivariate pattern analysis.

This study develops a spatially-heterogeneous circuit model to simulate brain activity dynamics, showing that anatomical and functional gradients are essential for generating realistic static and dynamic functional connectivity patterns.

This study investigates the heritability of individualized cortical network topography using twin and family data, finding genetic influences on network size and spatial organization.

The paper links working memory performance to brain activation patterns in children using fMRI data from a large longitudinal study.

This study identifies convergent molecular, cellular, and neural signatures of major depressive disorder across multiple datasets and modalities.

The paper examines the relationship between interneuron subtypes, brain function, and schizophrenia risk by analyzing transcriptomic and genetic data across species and populations.

The paper finds that a polygenic score for educational attainment is associated with larger brain size and better cognitive test performance, suggesting a genetic link between brain size and intelligence.