Sarah Shultz

This study analyzes nonlinear developmental trajectories of brain networks in infants using a cubic model, revealing network-specific growth patterns and interactions.

This study evaluates the robustness of NeuroMark-derived functional networks to fMRI spatial normalization across different age groups, finding high stability regardless of normalization strategy.

This study tracks white matter maturation in infants from birth to 6 months using dense diffusion tensor imaging, finding faster growth rates early on and similar trajectories when adjusted for gestational age.

The paper introduces CNTC to analyze nonlinear developmental trajectories across brain networks using fMRI data from infants, finding linear and selective nonlinear effects across systems.

This study uses explicitly nonlinear fMRI connectivity to uncover developmental trajectories of brain networks in infants, revealing insights into key functional systems.

This study identifies genetic maps of human sulcal complexity using rare and common variants, revealing new mechanistic pathways for cortical morphogenesis.

This study investigates multiway, multiscale brain network interactions in infants, finding that tri-FNC provide additional insights beyond pairwise interactions during early brain development.

This study shows that spatial brain network organization becomes more coherent with age in infants, using fMRI data and spatial dissimilarity metrics.

This study examines spatial changes in infant brain networks using resting-state fMRI data from 74 infants, revealing age-related patterns in network organization and intensity distribution.

The paper maps functional brain network maturation in early infancy using resting-state fMRI, showing age-related increases in network consistency and engagement.

This paper introduces a groupwise registration framework for longitudinal infant DTI images, improving alignment accuracy through clustering and sample-specific common space alignment.

This paper uses aNy-way ICA to identify a cortico-thalamo-cerebellar circuit in schizophrenia, showing altered connectivity and cognitive impairments across multiple datasets.

This study links short-term brain dynamics to long-term changes in the functional connectome during postnatal development, finding a strong association between specific brain states and non-linear developmental acceleration.

This study identifies adult-like multi-scale brain networks in infants using rsfMRI, showing early emergence of functional connectivity patterns.

This study investigates the molecular effects of the 3q29 deletion on the human neural transcriptome, identifying convergent and distributed impacts across gene clusters and pathways related to psychiatric disorders.

This study evaluates 32 individuals with 3q29 deletion syndrome to identify common medical and neurodevelopmental features and provides clinical care recommendations.

This study evaluates the robustness of Bayesian Model Selection in Dynamic Causal Modeling to data and model space challenges through simulations.