Terry L. Jernigan

Assessing nonlinear associations between body mass index and brain microstructure across adolescence in the ABCD Study

This study examines how BMI relates to brain microstructure across adolescence, finding nonlinear associations that intensify at higher BMI percentiles.

FEMA-Long: Modeling unstructured covariances for discovery of time-dependent effects in large-scale longitudinal datasets

FEMA-Long enables efficient modeling of time-dependent effects in longitudinal data, discovering genetic variants with time-dependent effects on infant growth traits.

Age associations with cortical and subcortical brain structure in adolescents age 9-17

The paper uses an extended mixed-effects model to analyze age-related changes in brain structure across a large adolescent cohort, finding distinct developmental patterns in cortical and subcortical regions.

Brain-Age Prediction: Systematic Evaluation of Site Effects, and Sample Age Range and Size

The paper evaluates factors affecting brain-age prediction models using structural neuroimaging data from 35,683 individuals, finding optimal model performance with no site harmonization, age-binning, and a sample size of over 1,600.

Partitioning variance in cortical morphometry into genetic, environmental, and subject-specific components

The paper estimates genetic, environmental, and subject-specific variance components in cortical morphometry using longitudinal data from the ABCD Study.

Leveraging the Adolescent Brain Cognitive Development Study to improve behavioral prediction from neuroimaging in smaller replication samples

The paper uses the ABCD Study to determine optimal replication sample sizes for reproducible brain-behavior associations using neuroimaging data.

FEMA: Fast and efficient mixed-effects algorithm for large sample whole-brain imaging data

FEMA enables fast and efficient mixed-effects analyses of large-scale whole-brain imaging data, revealing distinct spatial patterns of brain maturation in early adolescence.

White matter and literacy: a dynamic system in flux

The paper examines the relationship between white matter properties and reading skill development using longitudinal and cross-sectional data, finding that reading skill gains correspond to longitudinal white matter changes but not individual differences in white matter.

Gene-experience correlation during cognitive development: Evidence from the Adolescent Brain Cognitive Development (ABCD) StudySM

The paper examines gene-experience correlations in cognitive development using ABCD Study data, finding stronger genetic associations with crystallized intelligence measures and significant mediation by recreational reading.

Heritability estimation of cognitive phenotypes in the ABCD Study using mixed models

The paper estimates heritability of cognitive phenotypes in the ABCD Study using mixed models and the FEMA package, finding narrower confidence intervals with SNP-derived genetic relatedness.

Normative Modeling of Brain Morphometry Across the Lifespan using CentileBrain: Algorithm Benchmarking and Model Optimization

The paper benchmarks and optimizes a normative modeling framework for brain morphometry across the lifespan using MFPR, showing excellent accuracy and stability.

Generalization of Cortical MOSTest Genome-Wide Associations Within and Across Samples

The paper evaluates the replication of genome-wide association loci discovered using MOSTest across different cohorts and finds higher replication yields and rates compared to min-P.

Multimodal Image Normalisation Tool (MINT) for the Adolescent Brain and Cognitive Development study: the MINT ABCD Atlas

The paper introduces MINT, a tool for multimodal MRI registration, and presents an ABCD atlas for whole-brain analysis, showing it outperforms existing methods in speed while maintaining accuracy.

Unique prediction of developmental psychopathology from genetic and familial risk

The paper examines genetic and familial risk factors for psychopathology in youth, finding shared and unique associations between polygenic risk scores and behavioral measures.

Dissociable Cellular and Genetic Mechanisms of Cortical Thinning at Different Life Stages

The paper examines age-related variations in cortical thickness across different life stages using gene expression data from a large neuroimaging dataset.

Microstructural development from 9-14 years: evidence from the ABCD Study

The paper uses restriction spectrum imaging to analyze age-related microstructural changes in brain diffusion across 9-14 year olds from the ABCD Study, finding increased restricted diffusion in subcortical regions with age.

Multivariate genome-wide association study identifies 780 unique genetic loci associated with cortical morphology.

The paper uses a multivariate GWAS approach to identify 780 genetic loci associated with cortical morphology, showing a 10-fold increase in loci compared to univariate methods.

A Comprehensive Overview of the Physical Health of the Adolescent Brain Cognitive Development Study (ABCD) Cohort at Baseline

This paper provides descriptive analyses of physical health measures in the ABCD cohort at baseline, highlighting variations across demographic groups and linking them to health disparities.

Meaningful Effects in the Adolescent Brain Cognitive Development Study

The paper describes the design and aims of the ABCD Study, discussing challenges in estimating meaningful associations and recommending best practices for research using its data.

Spatially heterogeneous microstructural development within subcortical regions from 9-13 years

The paper uses RSI to analyze diffusion patterns in subcortical regions of children aged 9-13, finding age-related changes in restricted diffusion metrics across different brain areas.

Analysis of structural brain asymmetries in Attention-Deficit/Hyperactivity Disorder in 39 datasets

This study analyzes structural brain asymmetries in ADHD using 39 datasets, finding small effects that do not meet study-wide significance thresholds.

Cortical Thickness Trajectories across the Lifespan: Data from 17,075 healthy individuals aged 3-90 years

The paper analyzes cortical thickness trajectories in 17,075 individuals to show peak thickness in childhood, steep decline in early adulthood, and slower decline later, with notable exceptions and significant inter-individual variability.

Evidence for Similar Structural Brain Anomalies in Youth and Adult Attention-Deficit/Hyperactivity Disorder: A Machine Learning Analysis

This study uses machine learning to show that structural brain anomalies in ADHD are similar in children and adults, supporting continuity of the disorder's pathophysiology.

Economic, social, and physiological resilience predict brain structure and cognitive performance in 9 - 10-year-old children

The paper examines how economic, social, and physiological resilience factors relate to brain structure and cognitive performance in 9-10-year-olds.

Maturational trajectories of white matter microstructure underlying the right presupplementary motor area reflect individual improvements in motor response cancellation in children and adolescents

This study shows that white matter maturation in the right preSMA correlates with improvements in motor response cancellation, with developmental plateaus around 13-14 years.

Determining the association between cortical morphology and cognition in 10,145 children from the Adolescent Brain and Cognitive Development (ABCD) study using the MOSTest

The paper uses MOSTest to analyze cortical morphology in 10,145 children, showing that regional cortical patterns predict cognitive performance after accounting for global brain measures.

Distinct regionalization patterns of cortical morphology are associated with cognitive performance across different domains

The paper shows that distinct cortical morphology patterns are associated with different cognitive domains in children, highlighting the importance of sociodemographic factors.

The Bayesian polyvertex score (PVS-B): a whole-brain phenotypic prediction framework for neuroimaging studies

The paper introduces PVS-B, a whole-brain prediction framework that improves variance explained in behavior prediction from neuroimaging data compared to traditional methods.

Movement abilities and brain development in preschoolers born very preterm

The paper compares subcortical brain volumes and white matter diffusion properties between preschoolers born very preterm with and without movement impairments and full-term controls.

Subcortical brain volume, regional cortical thickness and cortical surface area across attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and obsessive-compulsive disorder (OCD): findings from the ENIGMA-ADHD, -ASD, and -OCD working groups

This study compares structural brain differences across ADHD, ASD, and OCD using MRI data from multiple cohorts, finding disorder-specific alterations in brain volume and cortical thickness.