Sharlene D. Newman

Late-Talking Children Talk More? A Machine Learning Approach to Speech Act Analysis in Early Childhood

This study uses machine learning to analyze speech acts in late-talking and typically developing preschoolers, finding differences in speech act production and comprehension.

Theory of Mind and Discourse Production in Schizotypy: An fMRI Study

This study uses fMRI to examine neural correlates of schizotypal traits during discourse planning and production, finding trait-specific activation patterns in brain regions associated with theory of mind and social cognition.

Network dynamics for sensory prioritization: Functional connectivity related to individual sensory weighting of vision versus proprioception during upper limb control

The paper investigates how individual sensory biases during upper limb control relate to whole-brain network dynamics using rsfMRI and finds specific neural patterns associated with visual versus proprioceptive weighting.

Denoising diffusion weighted imaging data using convolutional neural networks

This paper introduces a 1D-CNN denoising method for DWI data that improves image quality and microstructural measurements by learning from low-noise datasets.

Collegiate athlete brain data for white matter mapping and network neuroscience

The paper shares a dataset of diffusion MRI data and derivatives from collegiate athletes and non-athletes to study the effects of long-term athletic exposure on brain structure.

Association between proteomic blood biomarkers and DTI/NODDI metrics in adolescent football players

The paper examines the association between diffusion MRI metrics and blood biomarkers in adolescent athletes, finding links between Tau levels and microstructural changes in the corpus callosum.