Jamie D. Feusner

This paper introduces a Hodge-Laplacian framework to analyze higher-order topology in OCD brain networks, identifying loop-level abnormalities not detectable by conventional functional connectivity analysis.

The paper develops a 3D avatar-based fMRI task to map brain activity during body size estimation and identifies neural correlates of inter-individual differences in accuracy.

The paper uses fMRI decoding to show that neural activity in the posterior putamen during learning predicts individual differences in habit versus goal-directed behavior across multiple cohorts.

The paper examines how model-based and model-free valuation signals in the human brain relate to individual differences in behavioral control using fMRI data from a large sample.

The paper examines neural patterns of reward and anxiety in adolescents with anorexia nervosa using fMRI and representational similarity analysis, finding reduced consistency in reward responses in AN compared to controls.

The paper examines the structural and functional connections in the visual system of individuals with body dysmorphic disorder during face viewing, finding reduced neurite density and effective connectivity linked to symptom severity.

The paper links higher general intelligence to stable, efficient, and typical dynamic functional brain connectivity patterns using resting-state fMRI data.

This study compares brain activation and connectivity in anorexia nervosa and body dysmorphic disorder when viewing bodies, finding distinct and overlapping neural patterns related to clinical symptoms and appearance perception.

The paper uses machine learning to show that resting fMRI connectivity in specific brain networks predicts trait empathy and sex differences.

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.