Masoud Seraji

NeuroMark dFNC uses reference-state templates to estimate subject-specific dynamic connectivity states across datasets, enabling cross-cohort comparison while preserving individual patterns.

This study analyzes nonlinear developmental trajectories of brain networks in infants using a cubic model, revealing network-specific growth patterns and interactions.

This study shows that continuous post-encoding sleep improves context memory and related ERP responses in both younger and older adults.

This study shows that sleep continuity after encoding affects memory accuracy and neural reinstatement of context memory in younger and older adults.

The paper introduces CNTC to analyze nonlinear developmental trajectories across brain networks using fMRI data from infants, finding linear and selective nonlinear effects across systems.

This study uses explicitly nonlinear fMRI connectivity to uncover developmental trajectories of brain networks in infants, revealing insights into key functional systems.

This study investigates multiway, multiscale brain network interactions in infants, finding that tri-FNC provide additional insights beyond pairwise interactions during early brain development.

This study shows that spatial brain network organization becomes more coherent with age in infants, using fMRI data and spatial dissimilarity metrics.

This study examines how sleep duration and age affect neural reactivation and episodic memory performance across adulthood, finding significant correlations between sleep duration and encoding-retrieval similarity in specific brain regions.

This study examines spatial changes in infant brain networks using resting-state fMRI data from 74 infants, revealing age-related patterns in network organization and intensity distribution.

The paper identifies altered default mode network connectivity dynamics in schizophrenia using a novel iterative feature-removal clustering approach on resting-state fMRI data.

This study compares functional network energy across multiscale brain networks in preterm and full-term adolescents from the ABCD study, identifying differences in network stability and flexibility.

The paper maps functional brain network maturation in early infancy using resting-state fMRI, showing age-related increases in network consistency and engagement.

This study links short-term brain dynamics to long-term changes in the functional connectome during postnatal development, finding a strong association between specific brain states and non-linear developmental acceleration.

This study examines how habitual sleep quality affects episodic memory using EEG-based representational similarity analysis, finding mixed correlations between sleep metrics and memory performance.

This study identifies a subset of default mode network connectivity features in schizophrenia that reveal disorder-related dynamics not apparent when all features are included.

This study uses complexity measures like fuzzy recurrence plots and sample entropy to analyze functional connectivity in the psychotic brain, revealing patterns of neural activity and synchronization.