Evan M. Gordon

The paper identifies three distinct subnetworks within the Cingulo-Opercular network linked to decision-making, action execution, and feedback processing using functional connectivity data.

The paper identifies a two-fold expansion of the frontostriatal salience network in individuals with depression using longitudinal neuroimaging data and shows its stability over time and predictive value for future symptoms.

The paper investigates the relationship between brain hubs and inter-individual variability, finding that group hubs defined by participation coefficient are consistent across individuals, while other hub measures show higher correspondence to individual variability.

This paper introduces Synth, a field map-less distortion correction method for fMRI data, showing comparable or better performance than field map-based approaches in pediatric and adult datasets.

This paper classifies PTSD vs. controls using MRI data from multiple sites, finding better performance when distinguishing PTSD from trauma-unexposed controls than trauma-exposed controls, and showing DVAE improves generalizability.

The paper reveals that motor cortex contains inter-effector regions connected to the Cingulo-opercular network, alternating with effector-specific areas, suggesting a dual system for motor control and whole-body coordination.

This study finds smaller total and subregional cerebellar volumes in PTSD compared to controls using a large dataset and advanced parcellation methods.

This paper compares four methods for harmonizing cortical thickness data across multiple sites and finds that ComBat-GAM is most effective in detecting case-control differences and age-related cortical thinning.

The paper identifies distinct functional connectivity patterns in the hippocampus, showing anterior regions connect to the default mode network and posterior regions connect to the parietal memory network, supporting different cognitive processes.

This study identifies individual-specific discrete subnetworks of human cortico-striatal connectivity, revealing a stepped rostral-caudal gradient including previously unknown language network connections.

The paper develops individual-specific areal-level parcellations using a Bayesian model and shows they improve functional connectivity prediction of behavior compared to group-level parcellations.

The paper shows that disused motor regions become more connected to the cingulo-opercular network during limb constraint, mediated by spontaneous activity pulses.

This study examines structural covariance networks in PTSD using a large multisite dataset, finding differences in centrality measures between PTSD and control groups, and highlighting sex-based and comorbid differences.

This study evaluates diffusion imaging methods for individual-specific precision, finding that BaMM reduces overfitting and achieves better crossing-fiber accuracy with more data.

This paper introduces a multi-layer network method to analyze brain network modularity across individuals and time, revealing scale-specific variability linked to cognitive performance.

This study identifies reduced fractional anisotropy in the tapetum region of the corpus callosum in PTSD patients using a large multi-cohort analysis of diffusion MRI data.

This paper shows that targeting individual-specific brain hubs with non-invasive brain stimulation disrupts cognition more than non-hub areas.

The paper identifies a distinct reward-related functional system using resting-state functional connectivity, showing preferential coupling with cognitive control systems.

This paper introduces a gradient-weighted Markov Random Field model for cortical parcellation that combines local and global approaches, resulting in more homogeneous and biologically meaningful parcels.