Siemon C. de Lange

This study uses multimodal brain imaging data from UK Biobank participants to identify shared and distinct brain properties associated with insomnia, depression, and anxiety symptoms.

The paper identifies distinct structural brain connectivity deviations in insomnia subtypes using MRI data from multiple studies.

CATO reconstructs structural and functional brain connectivity from MRI data using diffusion weighted imaging and resting-state fMRI, offering customizable analysis pipelines and open-source tools.

This study uses local genetic correlation analysis to link depression with molecular and brain imaging endophenotypes, identifying potential genes and mechanisms involved in major depressive disorder.

This study identifies cognitive components and their relationship with brain network connectivity in Alzheimer's disease and frontotemporal dementia, revealing convergent and divergent patterns.

This study identifies 29 genome-wide significant loci and 85 genes associated with cerebellar volume using UK Biobank data, revealing shared genetic links with neurodevelopmental and neurodegenerative disorders.

This study identifies genes associated with structural and functional connectivity in resting-state networks and finds genetic overlap within functional domains.

The paper examines connectivity principles at micro- and macroscales in the human brain, finding similar organizational patterns in dendritic and white matter structures.

The paper evaluates statistical methods for assessing spatial and gene specificity in transcriptomic-neuroimaging associations, showing high rates of non-specific effects without proper null models.

The paper investigates how white matter connectivity scales with brain size across primate species, finding a bottleneck in connectivity in larger brains.

The paper links the rapid evolutionary expansion of cognitive brain networks to gene expression patterns and shows associations with cognitive traits and disorders.

The paper examines how evolutionary changes in human brain connectivity overlap with schizophrenia-related changes, finding that human-specific connections are more involved in schizophrenia pathology.

The paper identifies shared disconnectivity patterns in central brain pathways across twelve psychiatric and neurological disorders using a meta-analytic connectome study.