John D. Van Horn

This study shows that FreeSurfer's eTIV estimates are inaccurate in developmental cohorts and proposes solutions with newer versions.

The paper investigates altered aperiodic EEG spectral power during speech perception in youths with ASD, linking increased neural noise to lower verbal communication skills.

This study finds that adolescents with autism have higher biological aging rates in brain structures compared to neurotypical controls, as measured by DunedinPACNI.

This study identifies sex-specific morphological network alterations in adolescents with ASD using structural MRI, revealing distinct connectivity patterns between males and females.

The paper introduces a novel metric, estimated axonal latency, to measure neuronal processing speed in autism spectrum disorder using MRI and EEG data.

This study uses 3T-CSD to analyze diffusion MRI microstructure across the lifespan, finding age-related changes in signal fractions across brain regions.

This paper introduces a novel FOD-based registration method using the NTU-DSI-122 template, showing improved reliability and accuracy compared to intensity-based registration for dMRI data.

This study identifies widespread associations between behavioral metrics and brain microstructure in ASD, suggesting age-related changes may drive different behavioral subtypes.

This study uses MRI metrics to identify microstructural differences in myelin and axons between ASD and neurotypical adolescents, finding increased extracellular water and decreased g-ratio and conduction velocity.

This study shows that metastable dynamics in cortical networks arise from interactions between excitatory and inhibitory neurons, and introduces a metric to analyze these transitions.

The paper develops a workflow to identify transcription factor binding sites across 27 human tissues using DNase-seq data, resulting in a comprehensive footprint atlas with high-quality predictions.

BDQC identifies data outliers and anomalies in large-scale genomic pipelines without domain knowledge, improving data quality and enabling new insights.