Tony W. Wilson

Altered Somatosensory Cortical Entrainment in Cerebral Palsy

This study investigates somatosensory cortical entrainment in cerebral palsy patients and finds altered neural responses compared to neurotypical controls.

Modeling Complex Effects and Individual Variability in Multi-Paradigm fMRI with Nonlinear Mixed Models

This paper introduces a nonlinear mixed model (NMM) for fMRI analysis to better capture nonlinear relationships and individual variability, showing improved model fit compared to linear models.

Dynamic Inter-Modality Source Coupling Reveals Sex Differences in Children based on Brain Structural-Functional Network Connectivity: A Multimodal MRI Study of the ABCD Dataset

This study uses dynamic inter-modality source coupling to identify sex-specific brain structural-functional connectivity patterns in children, showing different cognitive predictions for males and females.

Analysis of Longitudinal Change Patterns in Developing Brain Using Functional and Structural Magnetic Resonance Imaging via Multimodal Fusion

The paper links functional change patterns to brain structure using multimodal fusion in adolescents, revealing sex-specific differences in neural dynamics.

Dev-Atlas: A reference atlas of functional brain networks for typically developing adolescents

The paper creates a reference atlas of functional brain networks for typically developing adolescents using resting-state fMRI data and identifies age-related changes and sex effects.

Anterior pituitary gland volume mediates associations between pubertal hormones and changes in transdiagnostic symptoms in youth

This study examines whether anterior pituitary volume mediates the relationship between DHEA levels and changes in dysregulation symptoms in adolescents.

A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds

This paper introduces DemoVAE, a variational autoencoder that generates synthetic fMRI data conditioned on demographics and removes demographic confounds from fMRI features.

Modular and state-relevant connectivity in high-frequency resting-state BOLD fMRI data: An independent component analysis

The paper analyzes resting-state fMRI data across different frequency bins to assess functional network connectivity and finds distinct patterns at higher frequencies.