Qiang Li

Environmental Enrichment Remodels Brain Structural and Behavioral Plasticity in Restricted and Repetitive C58 Mouse Models

This study shows environmental enrichment reduces restricted behaviors in C58 mice by altering brain structure and microstructure, with strain and sex-dependent effects.

Comparative Mapping of Functional and Structural Homologies in the Pig and Human Brain

This study compares functional and structural brain organization between pigs and humans using MRI data, finding homologous large-scale networks and white matter pathways.

Comparing Nonlinear Trajectories Across Brain Networks: A Key to Understanding Complex Brain Dynamics

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

DECODING BRAIN DYNAMICS VIA CROSS-NETWORK NON-LINEAR TRAJECTORIES

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.

Microstructural Disruption of the Forceps Minor in Schizophrenia: A Potential Clinical Imaging Biomarker Using Translational DTI

This study identifies microstructural abnormalities in the forceps minor white matter tract in schizophrenia using DTI, suggesting it as a potential biomarker and linking it to social behavior dysfunction.

Deciphering Multiway Multiscale Brain Network Connectivity:Insights from Birth to 6 Months

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

Spatiotemporal Complexity in the Psychotic Brain

This study identifies spatiotemporal complexity disruptions in the psychotic brain using resting-state fMRI, revealing altered information integration and network instability.

Spatial Development of Brain Networks During The First Six Postnatal Months

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.

Linking Brain Entropy to Molecular and Cellular Architecture in Psychosis

The paper links brain entropy to molecular and cellular architecture in psychosis by analyzing differences in neurotransmitter systems and mitochondrial markers between healthy controls and individuals with schizophrenia or bipolar disorder.

PhaseICA: Resolving Individual-Specific Macroscale Brain Propagations

PhaseICA extracts reoccurring spatiotemporal brain patterns by incorporating phase information, improving the analysis of nonstationary brain activity.

Altered Functional Network Energy Across Multiscale Brain Networks in Preterm vs. Full-Term Subjects: Insights from the Adolescent Brain Cognitive Development (ABCD) Study

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.

Mapping the Developmental Trajectory of Functional Brain Networks in Early Infancy: Insights into Typical Maturation

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

Beyond Pairwise Connections in Complex Systems: Insights into the Human Multiscale Psychotic Brain

This paper introduces a matrix-based entropy functional to analyze multiscale brain networks beyond pairwise interactions, offering new insights into complex brain dynamics and psychiatric conditions.

Unraveling Integration-Segregation Imbalances in Schizophrenia Through Topological High-Order Functional Connectivity

This study examines topological high-order functional connectivity in schizophrenia, finding disrupted integration-segregation balance and potential diagnostic indicators.

Visual Image Reconstructed Without Semantics from Human Brain Activity Using Linear Image Decoders and Nonlinear Noise Suppression

This paper reconstructs visual images from human brain activity using linear decoding and nonlinear noise suppression, showing improved image quality without relying on semantic information.

Exploring Nonlinear Dynamics In Brain Functionality Through Phase Portraits And Fuzzy Recurrence Plots

This paper uses phase portraits and fuzzy recurrence plots to analyze nonlinear dynamics in brain networks, showing they can capture functional connectivity and predict neural behavior.

From Sight to Insight: A Multi-task Approach with the Visual Language Decoding Model

This paper introduces a Visual Language Decoding Model (VLDM) that simultaneously decodes visual categories, semantic labels, and textual descriptions from neural data, achieving significant improvements over chance levels.

Complexity Measures Of Psychotic Brain Activity In The fMRI Signal

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.