Martijn P. van den Heuvel

This paper evaluates null models for Lesion Network Mapping, showing they replace the connectome matrix but do not resolve non-specificity across conditions.

This paper evaluates specificity testing in Lesion Network Mapping to address concerns about the biological interpretation and disease-specificity of derived brain circuits.

This study creates a transcriptomic atlas of the human ventral tegmental area, identifies cell types and their functional connectivity, and links them to psychiatric disorders and BMI.

The paper uses EEG data from TMS-treated patients to show that changes in anterior default mode brain state dynamics predict depressive symptom improvement during treatment.

The paper identifies genetic variants associated with functional brain connectivity in a large cohort, linking them to neurodevelopment and health-related traits.

This study identifies 142 genes associated with both schizophrenia and height, finding enrichment in immune response genes and partial genetic overlap with white blood cell count.

This study aggregates rare variants in genes associated with brain volume variation in the UK Biobank and finds links to rare brain disorders.

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.

This paper introduces a polyconnectomic score (PCS) to quantify brain connectivity signatures in neuropsychiatric disorders, showing higher PCS in patients compared to controls across multiple disorders.

AutoMacq is an automatic pipeline for processing rhesus macaque MRI data, producing reliable voxel-based and surface-based metrics with minimal manual intervention.

The paper investigates assortative mixing in brain connectomes by analyzing how micro-architectural attributes influence macroscale connectivity across species.

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.

The paper identifies the temporal emergence of genetic variants linked to human brain and cognitive traits over the past five million years.

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

The paper identifies abundant genetic pleiotropy across neuroimaging modalities using a multivariate genome-wide association study in two cohorts.

This paper compares neural connectomes across 124 mammalian species using a unified protocol, finding that connectome organization aligns with traditional taxonomies.

This study shows that human brain dynamics differ from chimpanzees in dynamic range distribution, supporting faster integration in transmodal systems.

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 shows that neuroimaging studies in clinical populations require hundreds, not thousands, of participants to achieve reproducible results due to larger effect sizes.

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

The paper examines how rich club organization in structural brain networks develops across the lifespan, finding it remains stable despite overall connectivity decline.

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 introduces the Digital Brain Bank, an open access platform providing curated post-mortem neuroimaging datasets across species and modalities for neuroanatomical and neuropathological research.

This study examines how postnatal stress affects structural brain development in preterm infants and identifies resilient brain characteristics that predict future behavioral outcomes.

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 develops a pipeline to analyze whole-brain immediate early gene expression after foot-shock, revealing temporal dynamics in cellular activity across brain regions.

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.