Faith M. Gunning

The paper introduces NSI, an objective measure to assess data quality for precision functional MRI, aligning with expert evaluations and enabling principled decisions on data sufficiency.

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

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.

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.

The paper identifies a two-fold expansion of the frontostriatal salience network in individuals with depression using longitudinal neuroimaging data and shows its stability over time and predictive value for future symptoms.

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.

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.

The paper re-evaluates the stability of canonical correlations between functional connectivity and depressive symptoms using optimized statistical methods and demonstrates how optogenetic fMRI can test subtype-specific circuit mechanisms in depression.