Christian F. Beckmann

The paper identifies a SHARPIN variant associated with limbic system atrophy and family history of Alzheimer’s disease using MRI and genome-wide data.

The paper identifies two overlapping functional connectivity gradients in the anterior temporal lobe that predict distinct aspects of semantic cognition.

The paper develops a phenotypic stratification model to predict autism subtypes based on SC-RRB balance and applies it to fMRI data, identifying subtype-specific neural circuitry and gene expression patterns.

This study examines how dopamine agonist treatment affects resting-state network connectivity in Parkinson's disease patients, revealing both non-normalising and potential normalising effects on brain networks.

The paper uses independent component analysis to identify reduced fronto-striatal volume in ADHD across two cohorts, showing consistent results across age and demographic differences.

The paper investigates genetic and brain activation overlaps among cognitive traits, finding shared biological features between fluid intelligence and executive functioning.

The paper investigates how the medial prefrontal cortex decouples from the default mode network during schema-based memory tasks and finds that this decoupling correlates with better memory performance.

The paper quantifies plasticity in the human visual cortex and finds a non-monotonic relationship between plasticity and hierarchical level.

The paper links inter-individual differences in human brain structure to demographic and behavioral variations using structural MRI data from a large cohort.

The paper revisits the relationship between spatial configuration and functional connectivity, showing spatial overlap biases connectivity estimates and introducing an improved method to address this bias.

This study uses resting-state fMRI data to show the hippocampus's functional organisation along its long axis is gradual, not segregated, and predicts recollection memory better than parcellation-based approaches.

This study uses normative models to analyze cortical thickness deviations in ASD, finding individualized patterns rather than common case-control differences.

This study identifies reproducible functional connectivity alterations in ASD using rs-fMRI across four large cohorts, linking them to clinical symptoms and brain regions.

This study examines how the spatial arrangement of brain regions influences functional connectivity and behavioral predictions.

The paper introduces a framework called task potency to measure task-specific functional connectivity modulations and applies it to compare three cognitive tasks.

This study estimates human corticostriatal connection topographies from resting state fMRI and shows their relationship to goal-directed behaviours.