Scott A. Marek

This study examines how pubertal timing relates to resting-state functional connectivity in preadolescents and its potential link to depressive symptoms.

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

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

This study identifies a functionally connected glioma network overlapping with the action-mode network and shows its prognostic significance and association with acetylcholine transporter expression.

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

This study shows that resting-state functional connectivity better predicts sex than cortical thickness in preadolescents and relates to sex/gender alignment.

The paper introduces SHAMAN, a method to assess motion impact on brain-behavior associations in fMRI studies, finding significant motion overestimation and underestimation in various traits.

This study maps brain networks in children using precision neuroimaging, finding less inter-individual variability compared to adults.

The paper shows longer scans improve prediction accuracy in brain-wide association studies while reducing costs, with 30-minute scans being the most cost-effective.

This study investigates disuse-driven plasticity in the human thalamus and putamen using fMRI, finding strengthened functional connectivity and signal pulses in these regions during limb immobilization.

The paper evaluates structure-function coupling in individual brains using high-resolution neuroimaging data and finds that structural connections strongly predict function in visual/motor regions and specific cingulate circuits.

The paper examines the functional connectivity of the human red nucleus using resting-state fMRI and finds it is involved in goal-directed behavior and cognitive control rather than motor function.

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 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.

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.

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.

A curated collection of processed ABCD neuroimaging derivatives plus utilities for access, sharing and analysis, letting researchers exchange derivatives they cannot share through the central archive.

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.

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.

The paper identifies shared and unique brain network features that predict cognition, personality, and mental health in children using resting and task-state functional connectivity.

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.