Dani Beck

The paper links pregnancy- and birth-related risk factors to multivariate cortical brain MRI features in children using statistical analysis methods.

The paper examines how different types of early-life adversity relate to brain age gaps in children, finding some types are linked to younger-looking brains and others to older-looking brains.

The paper evaluates age-related changes in brain asymmetry using MRI data from 48,040 UK Biobank participants and introduces hemispheric brain age as a marker of asymmetry.

This study shows that free-water volume fraction in white matter increases non-linearly with age, particularly after 60, with region-specific variations and reduced variability when using FW-compensated MR signals.

The paper analyzes white matter aging using diffusion MRI data from UK Biobank, finding that fornix microstructure is central to brain age prediction.

This paper compares five intracranial volume estimation methods and finds high correlations between them, with age-related reductions in ICV observed across all methods in longitudinal analyses.

The paper assesses LTP-like visual cortical plasticity in schizophrenia and bipolar disorder using VEP modulation, finding impaired N1b modulation in SZ and BDI but not BDII, linked to symptom severity.

The paper links the number of previous childbirths to white matter brain age in midlife and older women using UK Biobank data.

This study uses advanced diffusion models and brain-age prediction to analyze white matter microstructure changes across adult lifespan, finding that advanced models provide sensitive measures of age-related changes.

The paper examines VEP modulation in 415 healthy individuals, finding significant effects for several components and age-related correlations, supporting VEP as a measure of synaptic plasticity.

This study uses diffusion tensor imaging and machine learning to predict brain age in schizophrenia and bipolar disorder patients, finding age overestimation in both groups compared to controls.

This study fuses structural and functional brain imaging data in depression using linked independent component analysis but finds limited associations with case-control status and symptom loads.

This paper identifies continuous cortical regionalization from embryonic stages to old age using longitudinal data and gene expression analysis.