Farnaz Zamani Esfahlani

This study identifies bursty dynamics and modular subgraphs in mouse and human brain networks, showing cross-species consistency in co-fluctuation patterns and anatomical connectivity.

This study compares edge-centric and sliding window methods for analyzing time-varying functional brain networks in ASD and healthy controls, finding distinct dynamic patterns in co-fluctuations.

The paper investigates local brain system events and their contributions to global events, revealing distinct co-fluctuation patterns and their spatial distribution during resting-state and movie-watching scans.

This study investigates structure-function relationships in human brain networks across the lifespan, finding that local functional coupling is better predicted by structural features than global patterns, with age-related changes observed in sensorimotor regions.

The paper investigates cortico-subcortical interactions using edge communities and finds distinct coupling patterns between subcortical regions and cortical systems.

The paper analyzes edge communities in brain networks using the Midnight Scan Club dataset, showing they transcend traditional brain systems and reveal personalized patterns.

The paper develops an edge-centric functional connectivity model to identify subject-specific features across different spatial scales and shows improved identifiability over traditional nodal FC.

The paper introduces an edge-centric network model to analyze brain connectivity, showing that edge functional connectivity is consistent across datasets and modulated by sensory input.

The paper decomposes resting-state functional connectivity to show that high-amplitude activity frames drive most of the variance in connectivity patterns and modular structure.

The paper analyzes temporal changes in brain network architecture during movie-watching, finding that inter-subject similarity correlates with changes in network modularity and connectivity.

The paper identifies hub and community structures in brain networks driven by long-distance functional connections, showing primary sensory cortices as more hub-like and community structures spanning multiple levels.