Sir-Lord Wiafe

A Chronnectogram-ICA Framework for Tracking Continuously Evolving and Overlapping Functional Brain States

This paper introduces a chronnectogram-ICA framework to track continuously evolving and overlapping brain states in fMRI data, revealing new insights into schizophrenia's connectivity dynamics.

Directional coordination along the cortical hierarchy is selectively reorganized in schizophrenia

This study identifies a dynamic directional coordination axis in the cortical hierarchy that is selectively reorganized in schizophrenia, linked to symptoms and cognition.

Spatio-dynamical decomposition: Joint spatial and dynamical criteria for FMRI Blind source separation.

This paper introduces spatio-dynamical decomposition for fMRI BSS, showing it better recovers sources using both spatial and temporal criteria than methods that use only one.

TE-aware state analysis and evolution in dynamic network connectivity

The paper analyzes how dynamic brain connectivity states change across different echo times (TEs) in fMRI data using a bi-exponential model and finds TE-dependent variance and state transitions.

Dynamic Co-Modulation (DyCoM): A Unified Operator Framework for Dynamic Connectivity in Neuroimaging

This paper introduces DyCoM, a framework that unifies dynamic connectivity analysis in neuroimaging by decomposing estimators into fundamental operations, revealing distinct biological interpretations from different computational choices.

Aberrant Recovery of Timescale-Aligned Amplitude Balance Links to Symptoms and Cognition in Schizophrenia

The paper develops a timescale-aligned framework to measure amplitude balance in brain networks and finds greater imbalance and slower recovery in schizophrenia, linked to symptoms and cognition.

Structural co-modulation: An individualized measure of inter-component interactions in source-based morphometry

This paper introduces a structural co-modulation measure to quantify individualized interactions between brain components using source-based morphometry, finding reduced co-modulation in schizophrenia patients.

Functional Connectivity Changes in Major Depressive Disorder

This study analyzes functional network connectivity in MDD using resting-state fMRI data, finding hyperconnectivity in sensorimotor and temporal regions and hypoconnectivity in higher cognitive networks.

SPATIAL DISSIMILARITY TRAJECTORIES REVEAL RAPID FUNCTIONAL NETWORK REFINEMENT DURING EARLY INFANCY

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

The Role of Sleep Duration and Age in Neural Reactivation and Episodic Memory Performance Across the Adult Lifespan

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.

Functional inertia reveals history-dependent organization of large-scale brain dynamics

This study introduces functional inertia as a measure of brain dynamics, showing it organizes activity into regimes and correlates with symptom severity in schizophrenia.

Neural flexibility in metabolic demand dynamics reveals sex-specific differences and supports cognition in late childhood

The paper uses resting-state fMRI data to analyze dynamic metabolic demand patterns in children, finding sex-specific differences in neural flexibility linked to cognitive performance.

Studying time-resolved functional connectivity via communication theory: on the complementary nature of phase synchronization and sliding window Pearson correlation.

This paper compares sliding window Pearson correlation and phase synchronization for time-resolved functional connectivity in fMRI data, finding they capture different aspects of brain dynamics and are complementary in their strengths and limitations.

Dynamic Inter-Modality Source Coupling Reveals Sex Differences in Children based on Brain Structural-Functional Network Connectivity: A Multimodal MRI Study of the ABCD Dataset

This study uses dynamic inter-modality source coupling to identify sex-specific brain structural-functional connectivity patterns in children, showing different cognitive predictions for males and females.

Normalized Dynamic Time Warping Increases Sensitivity In Differentiating Functional Network Connectivity In Schizophrenia

This study introduces normalized dynamic time warping to improve sensitivity in detecting functional network connectivity differences in schizophrenia compared to standard DTW and correlation methods.

Brain State Convergence and Divergence as Resting State FMRI Biomarkers: A Large-Scale Study of Continuous, Overlapping, Time-resolved States Differentiates Four Psychiatric Disorders

This study introduces a method to identify dynamic brain states from resting-state fMRI data, revealing distinct convergence and divergence patterns in four psychiatric disorders.