Katharine Dunlop

dGAMLSS: An exact, distributed algorithm to fit Generalized Additive Models for Location, Scale, and Shape for privacy-preserving population reference charts

The paper introduces dGAMLSS, a distributed algorithm for fitting GAMLSS models to construct population reference charts without sharing patient data.

Profiling brain morphology for autism spectrum disorder with two cross-culture large-scale consortia

This study identifies two ASD subgroups with distinct brain morphology using cross-cultural datasets, highlighting key brain regions associated with subgroup characteristics and autistic traits.

Proximity to an SGC-DLPFC Individualized Functional Target and outcomes in large rTMS clinical trials for Treatment-Resistant Depression

This study evaluates the relationship between proximity to individualized functional targets (iFTs) and clinical outcomes in rTMS trials for treatment-resistant depression, finding no association between proximity and improved outcomes.

Dimensional and Categorical Solutions to Parsing Depression Heterogeneity in a Large Single-Site Sample

The paper develops and evaluates dimensional and categorical approaches to identify depression subtypes using brain-behavior dimensions and clustering in a large single-site sample of MDD patients and controls.

Brain charts for the human lifespan

The paper introduces brain charts as a standardized resource for benchmarking brain morphology across the human lifespan using MRI data from a large and diverse cohort.

Estimated regional white matter hyperintensity burden, resting state functional connectivity, and cognitive functions in older adults

The paper examines the relationship between white matter hyperintensity burden, resting state functional connectivity, and cognitive functions in older adults, finding associations with memory retrieval but not other cognitive tasks.