Steven M. Nelson

The paper examines whether increased salience network surface area in adolescents is specific to depression or a general marker of psychopathology, finding stronger associations with overall psychopathology than depression alone.

This study compares functional brain network estimation using resting state crosshair fixation and movie watching in adolescents, finding similar network topography with minor border shifts.

This paper introduces PCM, a method to assess network assignment confidence in rs-fMRI data, improving precision with limited scan durations.

This study maps the brain organization of a memory champion using functional MRI, revealing enhanced connectivity and unique modules related to memory techniques.

The paper introduces an open data resource combining neuroimaging and behavioral measures to study mood and sleep in adolescents and young adults.

This study introduces MEDIC, a framewise distortion correction method for multi-echo fMRI that improves alignment and reduces motion impact without requiring field maps.

This study shows stimulant medications affect brain connectivity in action/motor and reward-related regions, not attention networks, and mimic the effects of sleep.

The paper demonstrates the feasibility of precision functional imaging in infants to identify individual-specific auditory responses and their relation to brain functional networks.

This paper demonstrates that 7T MRI improves spatial resolution and data quality for functional brain mapping in infants compared to 3T MRI, enabling more reliable developmental studies.

IBMMA improves neuroimaging analysis by handling missing data and large datasets, revealing new brain region findings overlooked by traditional methods.

The paper examines thalamic volume differences in trauma-exposed individuals with PTSD, MDD, and controls, finding specific volume reductions and associations with symptom severity and childhood trauma.

The paper replicates and extends a negative correlation between hippocampal activation during a verbal memory task and subsequent verbal memory test performance.

The paper extends fMRIPrep to handle MRI data from infancy to old age, demonstrating high-quality preprocessing across a wide age range.

The paper identifies unintended bias from collinearity reduction strategies in fMRI analysis and introduces a contrast-based variance inflation factor to assess their impact.

This paper introduces multi-echo acquisition and thermal denoising methods to improve precision functional MRI in adults, children, and newborns, showing increased signal-to-noise ratio and reliability.

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

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.

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.

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.