Functional Brain Connectivity Studies

Global Signal Removal (GSR) as graph spatial filtering

This paper reframes Global Signal Removal (GSR) as graph spatial filtering, introducing variants with different effects on network connectivity.

HIV-exposure related disruptions in functional and structural connectivity in the central auditory system in adolescence

This study examines structural and functional connectivity of the central auditory system in HIV-exposed uninfected children at age 11, finding subtle alterations in the inferior colliculus and its connections without significant neurocognitive correlates.

Bridging Higher-Order Information Theory and Neuroimaging: A Voxel-Wise O-Information Framework

This paper introduces a voxel-wise O-information framework to analyze high-order functional interactions in neuroimaging data, revealing age-related changes in default mode network redundancy.

Network-Level Associations in Nonlinear Brain Dynamics Predict Transcendent Thinking in a Diverse Adolescent Sample

This study uses nonlinear functional brain networks to show that resting-state brain dynamics predict transcendent thinking in adolescents, unlike linear measures or IQ.

Thermodynamic rigidity of harmonic brain states relates to general mental ability in juvenile myoclonic epilepsy

The paper uses EEG and machine learning to show that thermodynamic rigidity in brain states correlates with general mental ability in juvenile myoclonic epilepsy.

Replication Challenges in Linking Personality to Resting-State Functional Connectomics

The paper attempts to replicate a study linking personality to functional connectomics but fails to replicate any of the reported neuroimaging correlates.

Explicitly nonlinear fMRI networks reveal hidden trajectories of infant brain development

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

Fusion hidden Markov modeling reveals a dominant backbone state and transient alternatives in simultaneous resting-state EEG-fMRI

This paper develops a fusion hidden Markov model for simultaneous EEG-fMRI data, identifying a dominant backbone state and transient alternatives in resting-state brain dynamics.

Bi-cross-validation: a data-driven method to evaluate dynamic functional connectivity models in fMRI

This paper introduces bi-cross-validation to evaluate and compare dynamic functional connectivity models in fMRI, showing it balances model fit and complexity effectively.

Normative Modeling of Static and Dynamic Functional Connectivity

This paper develops a normative modeling framework to analyze static and dynamic functional connectivity across lifespan, revealing distinct age-related trajectories for each.

Brain Functional Connectivity Signatures of Craving Across Substance Use Disorders: A Transdiagnostic Approach

The paper identifies a transdiagnostic brain functional connectivity signature of craving across substance use disorders using connectome-based predictive modeling.

Longitudinal MRI reveals hormone-dependent brain remodeling supporting preserved cognition in aged females

This study uses longitudinal MRI and complementary techniques in rats to show that female-specific brain connectivity and white matter preservation support cognitive resilience with age, mediated by sex hormones.

Neonatal sensory networks at birth predict cognitive, language, and motor outcomes at 18 months

This study uses ROI-constrained CPM to predict 18-month cognitive, language, and motor outcomes from neonatal brain connectivity, finding that early sensory hubs are strong predictors.

Harmonizing brain rhythms: cortex-wide neuronal dynamics underpin quasi-periodic patterns in resting-state fMRI

The paper investigates the neural origins of quasi-periodic patterns in resting-state fMRI using combined calcium imaging and fMRI, finding a time-locked correlation between neural activity and BOLD signals.

Limitations of Variational Laplace-based Dynamic Causal Modelling for Multistable Cortical Circuits

This study shows that variational Laplace-based DCM struggles to accurately estimate connectivity parameters in multistable neural systems with complex dynamics.

Multiscale Metabolic Covariance Networks Uncover Stage-Specific Biomarker Signatures Across the Alzheimer's Disease Continuum.

This study uses metabolic covariance analysis on ADNI PET data to identify stage-specific biomarker signatures in Alzheimer's disease progression.

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.

Transdiagnostic Profiles of BOLD Signal Variability in Autism and Schizophrenia Spectrum Disorders: Associations with Cognition and Functioning

This study examines BOLD signal variability in autism and schizophrenia, finding reduced variability in these groups compared to controls, linked to poorer cognitive and functional outcomes.

Altered Dynamic Functional Connectivity of the Frontoparietal Network in Major Depressive Disorder: Evidence from a Large-Scale Resting-State fMRI Study

This study examines dynamic functional connectivity in the frontoparietal network of MDD patients using resting-state fMRI, finding prolonged hypoconnectivity and reduced flexibility.

Spatial entropy of brain network landscapes: a novel method to assess spatial disorder in brain networks

This paper introduces a method to quantify spatial entropy in brain network community structure and shows it decreases in specific brain regions during cognitive tasks.

INS-fMRI reveals a mesoscale limbic organization associated with medial pulvinar in primates

The paper uses INS-fMRI to study mesoscale functional connectivity in the primate limbic system, revealing organized patterns linking cingulate, insula, and amygdala regions.

Brain functional connectivity as a mediator between hematological metrics and cognitive decline in children with beta-thalassemia major

This study identifies functional connectivity patterns in children with beta-thalassemia major that mediate the relationship between hematological metrics and cognitive decline.

Channel Capacity for Time-Resolved Effective Connectivity in Functional Neuroimaging

The paper introduces channel capacity as a measure of directed information transfer between brain regions and validates it across human and rodent neuroimaging datasets to assess its sensitivity, specificity, and temporal variability.

Individual connectome fingerprints reveal early stabilization and long-term circuit remodeling after stroke

This study tracks how brain connectivity patterns change after stroke, showing early stabilization of functional fingerprints and long-term circuit remodeling that predicts recovery outcomes.

Attention-Guided Multimodal Neuroimaging Fusion Network for Modeling Brain Aging Pattern

This paper introduces AMAge-Net, a multimodal brain age prediction model combining fMRI and sMRI, achieving high accuracy and interpretability in estimating brain aging.

Deriving functional network topology from in vivo two-photon calcium imaging: state-dependent graph features in mouse mesoscale motor cortical network

The paper analyzes functional network topology in mouse motor cortex using two-photon calcium imaging across behavioral states, revealing state-dependent changes in network structure.

Multiscale Complexity as a Basis for Functional Brain Network Construction

This paper introduces a framework for constructing functional brain networks using multiscale entropy profiles instead of direct temporal synchrony, showing improved modular organization and sensitivity to sex differences.

MAMGL: A memory-augmented meta-graph learning framework for adolescent major depression disorder diagnosis

This paper introduces BrainMetaGCN, a memory-augmented graph learning framework for AMDD diagnosis using rs-fMRI, achieving better performance than baseline models.

Utility and validity of group atlas versus personalized functional network approaches for depressive constructs

The paper compares group and personalized brain functional connectivity approaches for depressive constructs, finding intersection estimates more valid and predictive than group or personalized estimates alone.

System identification and surrogate data analyses imply approximate Gaussianity and non-stationarity of resting-brain dynamics

The paper analyzes resting-state fMRI data to determine its statistical properties, finding approximate Gaussianity and non-stationarity, which help distinguish real data from surrogates.