Bernd Weber

The paper develops a structural MRI signature of impulsivity using machine learning, validates it across multiple samples, and shows its diagnostic value in behavioral-variant frontotemporal dementia.

The paper evaluates factors affecting brain-age prediction models using structural neuroimaging data from 35,683 individuals, finding optimal model performance with no site harmonization, age-binning, and a sample size of over 1,600.

This study examines age-related changes in grey and white matter in TLE patients across the adult lifespan, finding accelerated aging effects after age 55.

This study identifies subregional cerebellar atrophy patterns in epilepsy syndromes using MRI data from 1,602 patients and 1,022 controls, finding significant volume loss in posterior lobe regions.

The paper benchmarks and optimizes a normative modeling framework for brain morphometry across the lifespan using MFPR, showing excellent accuracy and stability.

This study investigates whether oxytocin and trust influence placebo effects in marketing actions but finds no evidence supporting their role.

This study identifies divergent patterns of atypical cortical asymmetry and regional atrophy in temporal lobe epilepsy using MRI data from a large multi-site cohort.

This study links structural network changes in epilepsy syndromes to risk gene expression patterns using ENIGMA data.

The paper identifies microglial activation as a factor contributing to cortical thinning in epilepsy by integrating neuroimaging and gene expression data.

The paper shows that the insula and temporoparietal junction differently influence generosity in social discounting tasks depending on the framing of the decision.

The paper develops an fMRI-based brain marker predicting individual differences in delay discounting using machine learning, showing significant prediction accuracy in two independent studies.

This study identifies white matter microstructural differences across epilepsy syndromes using diffusion MRI data from a large multicenter cohort.

This study identifies neural mechanisms of guilt and social responsibility during social decisions using fMRI and computational models.

This study identifies network associations with atrophy patterns in epilepsy using neuroimaging and connectome analysis across 1,021 patients and 1,564 controls.

This study uses a computational model to simulate the long-term effects of brain stimulation on structural connectivity in epileptic patients, finding that stimulation impacts both stimulated and non-stimulated regions and correlates with surgery outcomes.

This study examines cue-reactivity in striatal regions of heavy cannabis users to differentiate between addiction-related and exposure-related adaptations.

This study finds that cannabis-dependent males show impaired cognitive performance under psycho-social stress, linked to reduced precuneus activity and altered connectivity with the dorsal medial prefrontal cortex.

This study shows that cannabis dependence in men reduces reward experience during female social interaction compared to male interaction, with neural changes linked to cannabis exposure.

This study uses resting state fMRI to examine a shift in striatal connectivity patterns in cannabis-dependent individuals compared to controls, finding increased ventral striatum connectivity with reward regions and reduced connectivity with regulatory regions.

The paper shows that price cues influence taste pleasantness by engaging the brain's valuation system and affective regulation networks.