Rogier Kievit

This study examines how different types of adversity affect grey and white matter development in adolescents across two cohorts, finding distinct associations between adversity types and brain structure metrics.

This study uses a natural experiment to test if additional education affects long-term brain structure, finding no evidence of structural changes.

This paper uses a natural experiment to test if additional education affects telomere length in aging individuals, finding no causal effect.

This study assesses the reliability of structural brain change in cognitively healthy adults over time, finding that longer follow-up periods significantly improve reliability compared to increasing observation frequency.

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The paper examines how morphometric similarity in brain regions changes during adolescence, finding distinct developmental patterns in paralimbic versus neocortical areas.

The paper compares grey and white matter metrics in predicting cognitive performance in children using ABCD data, finding they provide distinct and complementary information.

This study investigates whether childhood cellular aging markers predict brain morphology in adolescence but finds no significant associations.

The paper shows that higher genetic risk for Alzheimer's disease is linked to faster brain volume loss and memory decline in healthy adults.

The paper investigates the effects of short sleep on brain structure and cognitive function, finding that short sleepers without daytime tiredness have larger brain volumes but slightly lower cognitive scores.

The paper investigates how general cognitive ability relates to cortical brain volume changes over time, finding associations with both brain reserve and maintenance mechanisms.

The paper quantifies individual and regional differences in cortical thinning midpoints using longitudinal neuroimaging data and a nonlinear mixed model.

This study examines the relationship between sleep duration and brain structure using MRI data, finding that 6.8 hours of sleep is associated with the most favorable brain outcomes, with genetic analyses suggesting homeostatic regulation of sleep duration.

This study finds that adult brain age is more influenced by early life factors like birth weight and polygenic scores than by longitudinal brain decline.

This study shows cortical thickness is more linked to aging, while surface area is more linked to cognitive abilities, using brain imaging data from healthy adults.

This study examines fluctuations in neural complexity during wakefulness using MEG and fMRI, finding links to conscious level and cognitive performance.

The paper examines how education and income relate to brain and cognitive differences across European and US cohorts, finding heterogeneous effects and stronger associations in US samples.

The paper uses network analysis to model brain structural covariance and cognitive abilities in struggling learners, finding positive correlations and intermediary roles of specific nodes.

The paper uses manifold learning to analyze longitudinal structural connectome data, showing expansion in transmodal regions during adolescence and linking it to cognitive outcomes.

The paper identifies asymmetric thinning of the cerebral cortex across aging and Alzheimer's Disease, showing that the initially thicker hemisphere thins faster, with this pattern replicated across multiple cohorts.

This paper introduces EFAST, a structured residual method for factor analysis in brain imaging data, showing improved fit and interpretability by incorporating a priori structural knowledge.

This paper identifies stable developmental clusters of subcortical volumetric change across the lifespan and shows genetic organization within these clusters.

The paper examines the relationship between self-reported sleep parameters and cortical thinning in aging, finding associations with specific brain regions but not with memory decline or amyloid-β accumulation.

The paper links schizotypy-related magnetization in adolescent cortex to schizophrenia risk genes using MRI and gene expression data.

The paper examines how self-reported sleep relates to hippocampal atrophy across adulthood using data from the Lifebrain consortium and UK Biobank, finding that worse sleep is linked to faster hippocampal volume loss over time.

The paper identifies two modes of brain-behavior covariation in adolescents and young adults using canonical correlation analysis, linking brain connectivity to psychometric, IQ, and demographic data.

The paper applies multivariate mechanistic models to a clinical trial in multiple sclerosis to investigate pathways linking simvastatin to clinical outcomes.

The paper models fluid intelligence as a hierarchical system where white matter influences intermediate cognitive traits, which in turn affect fluid intelligence, showing age-related changes in the relationship.

This study examines the associations between cardiovascular risk factors and white matter structure in aging, finding that systolic blood pressure, diastolic blood pressure, and heart rate independently impact white matter health.