Functional Brain Connectivity Studies

Central and peripheral dynamics of acute stress: evidence from functional cortical gradients

This study examines how acute stress reconfigures macroscale cortical organization and its relation to peripheral stress measures using functional cortical gradients.

Prediction of Q-CHAT scores based on Functional Connectivity in Healthy Newborns

The paper predicts 18-month Q-CHAT scores from neonatal resting-state fMRI data, finding significant associations with visual and auditory networks in term-born infants.

The Virtual Child Brain: Modeling Neuromaturational Trajectories

The paper develops a computational model to study human brain maturation by analyzing functional MRI data and simulating neural network dynamics.

Functional brain organization is stable within individuals across years

The paper shows that functional brain networks remain stable in healthy young adults over years, suggesting persistent individual brain organization.

A Comprehensive Analysis Comparing Isotropic ADC to BOLD-fMRI: Sensitivity to Resting State Networks and Grey to White Matter Functional Connectivity

This study compares isotropic ADC-fMRI and BOLD-fMRI in detecting resting-state networks and grey-to-white matter connectivity, finding ADC more sensitive to structural grounding and functional coupling.

Light on Broken Networks: Resting-State fNIRS as a Tool for Connectivity Mapping

This study compares resting-state functional connectivity and networks derived from fNIRS and fMRI, showing fNIRS captures key features of fMRI-based networks with partial correlations improving edge-level agreement.

Commonality and Variability in Functional Networks In Children Under 5 Years Old

The paper develops an age-appropriate functional reference to estimate individualized brain networks in young children, revealing early network organization and stability.

Individualized parcellation reveals functional boundaries in human prefrontal cortex

This study shows that individualized parcellation of the human prefrontal cortex reveals sharp functional boundaries not visible in group atlases, suggesting a mosaic of fine-grained subdivisions within large-scale gradients.

Frontoparietal Hub Connectivity Integrates Information from Multiple Sources

The paper uses a computational model and fMRI data to show how frontoparietal hubs dynamically reconfigure connectivity based on different stages of information integration during behavior.

Advantages of using Empirical Mode Decomposition and Hilbert Transformation for Delineating Resting State Functional Brain Networks

This paper demonstrates that Empirical Mode Decomposition combined with Hilbert Transformation improves the correlation between resting-state functional connectivity and structural connectivity in human brains.

Functional Organization of the Neonatal Basal Ganglia and Thalamus

The paper uses resting-state fMRI to study subcortical network organization in neonates, children, and adults, finding that the anterior-posterior organization is present at birth but somatomotor network representations are larger in neonates.

Network and hierarchical organization of intrinsic timescales in the human brain

This paper measures neural timescales in human iEEG data and links them to cortical hierarchy and network topology, showing that timescales increase with hierarchical position and are modulated by sleep stages.

Right-Lateralized Maladaptive Topological Reorganization in Hyperthyroidism

This study identifies right-lateralized structural network reorganization and neuromolecular correlates in hyperthyroidism, linking them to cognitive and clinical variables.

One operator to rule them all: Unifying connectome harmonics, turbulence and complex harmonics in brain dynamics

The paper unifies three theoretical frameworks for brain dynamics into a single operator, demonstrating their shared response to structural perturbations using LSD as a test case.

Lifespan Trajectories of the Brains Functional Complexity Characterized by Multiscale Sample Entropy

This study analyzes fMRI-complexity trajectories across the lifespan using multiscale sample entropy and finds a nonlinear peak in brain complexity around age 23, with gender differences and associations with executive function.

Optimising analysis choices for multivariate decoding: creating pseudotrials using trial averaging and resampling

This study evaluates how trial averaging and resampling affect decoding accuracy in MVPA, finding that modest averaging improves results and provides code for parameter optimization.

Structural determinants of dynamical state transitions in disorders of consciousness: a whole-brain modeling approach

This study uses whole-brain modeling to show that structural brain hubs influence dynamical state transitions in disorders of consciousness.

HARMONY: A large-scale harmonized neuroimaging dataset for research on anxious misery disorders

HARMONY harmonizes neuroimaging data from multiple cohorts to study brain-behavior associations in anxious misery disorders, showing increased statistical power in pooled analyses.

Evaluating Approaches for Inference Testing of Whole-Brain Densely Sampled Single-Subject Task fMRI Data

This study evaluates statistical methods for analyzing whole-brain task-based fMRI data, finding that a whole-brain voxel-level approach with FDR correction offers highest sensitivity and consistency.

Comparing aperiodic brain activity between eyes open rest and dynamic visual input using magnetoencephalography

This study compares aperiodic brain activity between eyes open rest and Inscapes viewing using MEG, finding distinct spectral profiles in different brain regions.

Graph-theoretic comparisons of structural covariance networks: quantifying the false discovery rate

This study evaluates the reliability of structural covariance network analyses using MRI data, showing that small sample sizes and high-dimensional parcellations lead to unreliable graph-theoretic measures and inflated false discovery rates.

NeuroMark-SZ: A Holistic Resting-State-fMRI-Based Model for Divergent Functional Circuitry in Schizophrenia

This paper develops a model using resting-state fMRI to identify functional connectivity patterns in schizophrenia, finding a robust cerebellothalamic disruption signature.

When Can Brain Connectivity Track the Working Mind? A Large-Scale Benchmark of Dynamic Functional Connectivity Across Cognitive Paradigms

This study benchmarks seven dynamic functional connectivity methods across 16 fMRI datasets to assess their reliability in tracking cognitive engagement during various tasks.

Brain Connectivity Modelling Through Joint Estimation of Parcels and Gradients

This paper introduces a framework to model brain connectivity by separating functional segregation and gradients, showing it better approximates the connectome than alternative approaches.

Resting fMRI functional connectivity reflects fluctuations in inhibitory interneuron activity

The paper shows that inhibitory interneurons in macaques correlate with resting fMRI functional connectivity, while excitatory neurons show mixed correlations.

Sparse Distributed Archetypes Reveal Compressible Network Motifs Underlying Naturalistic Cognition

The paper applies Multisubject Archetypal Analysis to fMRI data to reveal sparse, distributed network motifs that capture cognitive state information across multiple scales.

Brain Structure Shapes Function through higher-order Functional Interactions

This paper introduces a method to quantify how brain structure constrains higher-order functional interactions and shows its relevance in Alzheimer's disease.

Structural connectivity shapes a cross-modal gradient of brain flexibility

The paper introduces a new measure, flexibility gradient, to quantify regional contributions to brain flexibility and finds that structural properties correlate with regional flexibility contributions across multiple modalities.

Identifying Networks within an fMRI Multivariate Searchlight Analysis

The paper introduces a method to identify sub-networks of fMRI searchlights based on temporal information changes, revealing brain networks associated with different stimuli.

Cortical and thalamic afferent connectomes distinguish ACC subregions of the macaque brain

The paper uses retrograde tract-tracing in macaques to compare afferent inputs to subregions of the ACC, revealing distinct connectivity patterns between sgACC and pgACC.