Evan M. Gordon

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

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

The paper develops an age-appropriate functional reference to estimate individualized brain networks in young children, revealing early network organization and stability.

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 introduces NSI, an objective measure to assess data quality for precision functional MRI, aligning with expert evaluations and enabling principled decisions on data sufficiency.

This paper introduces robust lesion network mapping (rLNM) to address statistical validity concerns in lesion network mapping, showing it recovers distinct symptom-specific networks and predicts postoperative language decline.

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.

The paper examines how childhood maltreatment affects brain structure in 3,711 individuals with MDD and PTSD, finding age- and sex-specific brain morphometric differences.

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

The paper uses functional MRI to map cortical areas in neonates, finding that their arrangement is individually specific and reliably identifiable.

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

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

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.

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.

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 parcellates the cerebral cortex in toddlers using functional connectivity and shows high reproducibility across ages, with area boundaries more similar to adults than neonates.

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 introduces the Network Correspondence Toolbox (NCT) to evaluate spatial correspondence between novel neuroimaging results and existing brain atlases, enabling standardized reporting and comparison across studies.

This study identifies infant brain areas with adult-like functional network organization, showing less age-related variation and higher reliability, and suggests implications for using adult network models in infants.

This study uses dense longitudinal DTI to track white matter recovery in a TBI patient and control, showing individualized recovery trajectories and their correlation with cognitive and emotional recovery.

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 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.

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