Clare A. M. Kelly

The paper examines cross-state stability and maturational similarity of the social brain connectome in children and adolescents, finding stronger coupling in the social brain and sex-specific age-related effects.

The paper tests functional connectome fingerprinting to improve reproducibility of functional connectivity analysis pipelines by optimizing pre- and post-processing parameters.

This study uses longitudinal consensus clustering to map functional brain networks in developing rats, revealing developmental trajectories and functional architecture similar to human brain development.

The paper presents a longitudinal fMRI dataset of Wistar rats across development, including sex-balanced samples and additional phenotypic data for studying brain development and Sex As a Biological Variable.

The paper tests motion-ordering and motion-ordering+resampling methods to retain minoritized youth in fMRI data analysis, improving representation and reproducibility of brain-behavior associations.

The paper tests two techniques to reduce motion artifacts in functional connectivity data, enabling retention of high-motion participants while maintaining data quality and statistical power.

The paper introduces BrainQCNet, a deep learning model for automated artifact detection in brain structural MRI scans, achieving high accuracy and fast processing times.

This study identifies two functional connectivity gradients in the mouse hippocampus, revealing sharp and gradual transitions, and shows gene co-expression gradients show more segregated organization.

This study analyzes structural brain asymmetries in ADHD using 39 datasets, finding small effects that do not meet study-wide significance thresholds.

This study examines how pubertal timing and chronic stress affect socioemotional behavior and amygdala connectivity in adolescent female macaques, finding overlapping and distinct neural effects.

This study uses machine learning to show that structural brain anomalies in ADHD are similar in children and adults, supporting continuity of the disorder's pathophysiology.

This study examines the stability and similarity of the pediatric connectome across different states and tasks, finding correlations with social skills but not age.

This study identifies EEG spectral power as a neuromarker for adult ADHD, while finding that theta/beta ratio is not a reliable classifier.