Steven E. Petersen

The paper shows that functional brain networks remain stable in healthy young adults over years, suggesting persistent individual brain organization.

The paper links socioeconomic status (SES) to brain-wide associations, showing SES has stronger associations with brain structure and function than IQ or psychopathology.

The paper uses precision fMRI to reveal individual-specific, fragmented, and interdigitated network patches in the lateral prefrontal cortex, showing conserved motifs and distinct functional boundaries not visible in group-averaged data.

The paper identifies parallel processing chains in association cortex using multiple functional mapping modalities, showing they are experience-driven and organized across different cytoarchitectures.

This paper identifies two distinct forms of variation in human functional brain networks: border shifts and ectopic intrusions, which differ in location, network associations, and behavioral predictions.

This paper develops a neonatal-specific cortical parcellation based on functional connectivity, validated across multiple datasets.

The paper investigates how the cingulo-opercular network contributes to decision-making under ambiguity using fMRI and behavioral tasks.

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 paper identifies two distinct sub-systems within the cingulo-opercular network using fMRI data, showing differential roles in task control and other cognitive/motor functions.

The paper examines whether high cofluctuation 'events' in fMRI data uniquely drive functional connectivity or arise from sampling variability in a static signal.

The paper develops a precision functional brain atlas to capture individual-specific network topography and demonstrates its utility in generating reproducible statistical maps of brain function.

The paper probabilistically maps human functional brain networks to identify regions of high inter-subject consensus across multiple datasets.

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

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

The paper shows network variants identified from task data are similar to those from rest states, supporting their trait-like nature.

Brain-behaviour correlations in ABCD are tiny (median |r|=0.01), so samples of typical size (N=25) give inflated, irreproducible results; estimates only stabilise around N⪆2,000.

This paper identifies and removes high-frequency motion artifacts in single-band fMRI data, improving motion estimates and reducing data loss without biasing functional connectivity.

This paper develops a band-stop filter to correct respiratory artifacts in MRI motion estimates, improving data quality and demonstrating real-time implementation.

The paper introduces a new set of functionally-defined brain regions that better represent subcortex and cerebellum, validated across datasets and combined with cortical regions to improve functional network analysis.

This study identifies age-specific functional connectivity differences in Tourette syndrome between children and adults using MRI, showing altered developmental trajectories in affected brain networks.

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