Wesley Kurt Thompson

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

This paper develops a Bayesian functional extension of the generalized synthetic control method to handle sparse and irregularly spaced biomedical data, showing improved causal inference in neuroimaging studies.

The paper examines how enriched neighborhood environments affect episodic memory in children through prefrontal cortex activity.

The paper identifies neuroticism-related resting-state functional connectivity patterns using UK Biobank data, revealing genetically and psychometrically defined clusters.

The paper discusses methods for handling missing data in longitudinal neuroimaging datasets, using the ABCD Study as an example, and advocates for advanced statistical techniques over conventional approaches.

The paper introduces a variational Bayes algorithm to estimate variance explained by whole-brain imaging features for zero-inflated outcomes, showing higher variance explained for externalizing behaviors in the ABCD Study.

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.

The paper estimates population-based risks of psychiatric disorders associated with 34 recurrent CNVs using a large case-cohort sample, finding moderate risks for ADHD, autism, and schizophrenia, but not depression.

BRAINIAC estimates variance explained by features for a cognitive phenotype and assesses annotation impact on feature enrichment using resting state fMRI data.

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.

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.

This study identifies genetic overlaps between psychiatric disorders, language ability, and creativity through a GWAS of school grades.

The paper examines longitudinal DTI data to show that neuroticism is associated with cingulum microstructural asymmetry, with stable associations in females and emerging ones in males during adolescence.

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.

This paper evaluates how population stratification affects multimodal neuroimaging measures in a large, diverse sample and shows that structural imaging metrics are more confounded by population stratification than functional ones.

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

The paper investigates the female protective effect against autism spectrum disorder by analyzing genetic risk in siblings and parents of ASD cases, finding evidence of sex differences in inherited genetic risk.

This study assesses the reliability and stability of task-fMRI measures in children, finding poor reliability and stability across brain regions, with motion and activation levels significantly affecting results.

This study identifies 856 genetic loci associated with sulcal depth through a genome-wide association study using UK Biobank data, showing higher heritability and locus yield compared to cortical thickness and surface area.

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.

The paper investigates genome-wide interactions between stressful life events and depression using a case-cohort study, identifying three genome-wide significant loci but lacking replication in an independent sample.

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.

This study examines how binge drinking affects gray matter volume decline in adolescents over time, finding stronger effects in younger individuals and suggesting potential for recovery with temporally proximal drinking.

The paper improves prostate cancer risk stratification across multiple ancestries using a new polygenic hazard score with additional SNPs, showing higher hazard ratios and positive predictive value for clinically significant prostate cancer.

A curated collection of processed ABCD neuroimaging derivatives plus utilities for access, sharing and analysis, letting researchers exchange derivatives they cannot share through the central archive.

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.

This study uses multivariate GWAS on diffusion imaging data from two large datasets to identify 503 genetic loci affecting brain tissue composition and uncover molecular pathways related to axonal growth, synaptogenesis, and neuroinflammation.

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.

The paper assesses how the performance of an African-ancestry-specific polygenic hazard score varies with local ancestry in 8q24 using genetic data from 6,253 men with African ancestry.

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.