Kirstie Jane Whitaker

ggrain provides an R package for creating raincloud plots, combining dot, box, and violin plots for comprehensive data visualization.

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

The paper investigates how resilient functioning in adolescents exposed to childhood adversity relates to structural brain network topology, finding lower nodal degree in specific brain regions associated with higher resilience.

This paper improves the interpretability of brain-behavior CCA by using domain-driven dimension reduction, showing more stable and interpretable results compared to standard PCA.

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

The paper investigates age-related changes in cortical myeloarchitecture during adolescence using longitudinal MRI data and identifies two distinct developmental processes.

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 links reduced cortical morphometric similarity in psychosis to the expression of schizophrenia-related genes in specific brain regions.

The paper identifies two modes of brain functional connectivity change during adolescence: conservative and disruptive, with distinct patterns in primary and association cortex.

The paper identifies age-related waves of cortical myelination and demyelination using micro-structural MRI markers in humans across the lifespan.

The paper introduces morphometric similarity networks to map cortical organization and shows they predict cognitive variation across individuals.

The paper constructs structural covariance networks from MRI data and links them to transcriptomic networks, finding coupling between network topology and gene expression in supragranular layers.

The paper examines age-related changes in structural brain networks during adolescence, finding decreased structural correlation and changes in nodal degree in association cortex.