Deanna M. Barch

The paper examines sex differences in functional brain connectivity across youth, finding that males show greater network integration while females show greater network segregation along the sensorimotor-association axis.

This study examines insula functional connectivity development across 562 individuals, showing spatially heterogeneous changes aligned with an antero-posterior axis.

This study compares functional brain network estimation using resting state crosshair fixation and movie watching in adolescents, finding similar network topography with minor border shifts.

The paper shows that differences in adolescent cortical maturation patterns predict psychiatric symptoms, with early maturing sensory regions linked to symptoms four years before their onset.

Resting-state fMRI intrinsic timescale lengthens with age in association, not sensorimotor, cortex during ages 8-22, following the sensorimotor-association axis in two cohorts; it is largely age-stable in young adults.

This study examines how pubertal timing relates to resting-state functional connectivity in preadolescents and its potential link to depressive symptoms.

This study identifies consistent clinical and neural correlates of sensory over-responsivity (SOR) across diverse child samples, showing associations with autistic traits, anxiety, and specific brain connectivity patterns.

The paper examines how prenatal social disadvantage and psychosocial stress affect DNA methylation in children and their potential role in psychopathology.

The paper develops an age-appropriate functional reference to estimate individualized brain networks in young children, revealing early network organization and stability.

The paper uses resting-state fMRI to study subcortical network organization in neonates, children, and adults, finding that the anterior-posterior organization is present at birth but somatomotor network representations are larger in neonates.

This study evaluates deep learning models for predicting task activation from resting-state fMRI, finding that architectural changes improve efficiency without sacrificing accuracy.

The paper links socioeconomic status (SES) to brain-wide associations, showing SES has stronger associations with brain structure and function than IQ or psychopathology.

The paper examines how ambient air pollution components and sources affect hippocampal structure and memory in pre-adolescents using data from the Adolescent Brain Cognitive Development Study.

This study maps the brain organization of a memory champion using functional MRI, revealing enhanced connectivity and unique modules related to memory techniques.

This study identifies two axes of white matter development in human cortico-cortical tracts using diffusion MRI across three datasets, revealing non-uniform maturation patterns.

This study shows stimulant medications affect brain connectivity in action/motor and reward-related regions, not attention networks, and mimic the effects of sleep.

This paper uses model-based EEG analysis to identify distinct neurocomputational mechanisms of learning impairments in MDD, BP, and SCZ compared to controls.

This paper validates data-driven factor models over RDoC-based models using fMRI and behavioral data, showing better reproducibility and clinical relevance across neural and behavioral domains.

This study shows that resting-state functional connectivity better predicts sex than cortical thickness in preadolescents and relates to sex/gender alignment.

The paper introduces SHAMAN, a method to assess motion impact on brain-behavior associations in fMRI studies, finding significant motion overestimation and underestimation in various traits.

The paper examines age-related changes in emotional regulation neural correlates across race and socioeconomic status using UK Biobank MRI data, finding age-related decreases in amygdala activation but SES-related increases.

This study parcellates the cerebral cortex in toddlers using functional connectivity and shows high reproducibility across ages, with area boundaries more similar to adults than neonates.

This study investigates whether schizophrenia impairs cognitive map formation, finding that individuals with SZ focus more on simple visual features and less on abstract planning-relevant features during decision-making tasks.

This study uses dense longitudinal DTI to track white matter recovery in a TBI patient and control, showing individualized recovery trajectories and their correlation with cognitive and emotional recovery.

The paper examines how changes in cognition and neural metrics over time relate to persistent distressing psychotic-like experiences in adolescents, finding that environmental risks are partially explained by these changes.

This study validates the RDoC framework using a latent variable approach, showing a bifactor model better fits fMRI data than the current framework and highlights underrepresentation of the arousal and regulatory systems domain.

The paper identifies higher visual network amplitudes in individuals with trait depression compared to controls, suggesting altered visual processing in those predisposed to depression.

The paper examines how prenatal socioeconomic status influences cortical network development from birth to three years, finding accelerated segregation in lower-SES groups and links to language abilities.

The paper shows thalamocortical connections develop along a sensorimotor-association gradient in youth, linking structural connectivity to cortical plasticity and environmental sensitivity.

The paper examines how prenatal social disadvantage affects cognitive and language abilities at age 2, showing that parenting behaviors mediate these effects only in families with lower levels of disadvantage.