Jennifer Crosbie

Charting developmental trajectories of dynamic brain networks during emotional face processing

The paper uses DyNeMo to analyze MEG data from children and adults during emotional face processing, revealing distinct developmental trajectories in brain network activation and connectivity.

Decoding the neural basis of sensory phenotypes in Autism

This study identifies unique functional connectivity patterns in autism associated with five sensory processing phenotypes using machine learning.

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.

Using deep learning to predict internalizing problems from brain structure in youth

This study uses deep learning to predict internalizing problems from brain structure in youth, finding good performance in neurodevelopmental conditions but sub-optimal in the general population.

Functional organization of multisensory integration network in children and youth with neurodevelopmental disorders predicts clinical sensory issues

The paper examines multisensory integration network (MSN) functional connectivity in neurodevelopmental disorders and finds that sensory characteristics, not diagnoses, drive the observed neural patterns.

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.

A cross-disorder analysis of CNVs finds novel loci and dose-dependent relationships of genes to psychiatric traits

The paper identifies novel CNV loci and dose-dependent gene effects across six psychiatric disorders using genome-wide analysis.

Psychiatric disorders converge on common pathways but diverge in cellular context, spatial distribution, and directionality of genetic effects

The paper identifies shared and divergent genetic mechanisms across psychiatric disorders using gene-set burden analysis of copy number variants.

Assigning Targetable Pathways to Transdiagnostic Subgroups Across Neurodevelopmental Disorders

The paper identifies molecular pathways associated with neurodevelopmental disorder subgroups using neuroimaging data from mice and humans.

Dataset factors associated with age-related changes in brain structure and function in neurodevelopmental conditions

The paper examines age-related changes in brain structure and function across two neurodiverse datasets, finding differences linked to demographic and clinical factors.

Genome-Wide Association Study of Obsessive-Compulsive Symptoms including 33,943 individuals from the general population

This paper conducts a GWAS of subclinical obsessive-compulsive symptoms (OCS) in 33,943 individuals, finding polygenic risk and genetic overlap with OCD.

Gene copy number variation in pediatric mental illness in a general population

The paper investigates the association between gene copy number variation and mental health traits in children, finding links to ADHD, OCD, and cognitive biomarkers.

Cortico-amygdalar connectivity and externalizing/internalizing behavior in children with neurodevelopmental disorders

The paper examines associations between externalizing/internalizing behaviors and cortico-amygdalar connectivity in children with NDDs and TDC, finding no significant linear relationships.

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.

Integration of Brain and Behavior Measures for Identification of Data-Driven Groups Cutting Across Children with ASD, ADHD, or OCD

The paper integrates brain imaging and behavioral data to identify transdiagnostic subgroups in children with ASD, ADHD, or OCD, finding stable groups based on cortical thickness and inattention symptoms.

Shared genetic etiology between obsessive-compulsive disorder, obsessive-compulsive symptoms in the population, and insulin signaling

The paper identifies shared genetic risk factors between OCD, population-based OCS, and insulin signaling traits, suggesting a common etiological mechanism.

Utility of the SWAN Scale for ADHD Trait-Based Genetic Research: A Validity and Polygenic Risk Study

The paper validates the SWAN Scale as a tool for ADHD trait-based genetic research, showing it predicts ADHD diagnoses and is linked to ADHD polygenic risk.

Factor Structure and Heritability of Obsessive-Compulsive Traits in Children and Adolescents in the General Population

The paper investigates the factor structure and heritability of obsessive-compulsive traits in children and adolescents using the TOCS, identifying six dimensions and estimating heritability ranges.

A genetic investigation of sex bias in the prevalence of attention deficit hyperactivity disorder

This study investigates genetic mechanisms underlying sex bias in ADHD prevalence using genome-wide data and finds no mean polygenic burden difference across sexes but increased risk in female siblings and comorbid conditions.