Functional Brain Connectivity Studies

Functional connectivity during drawing after upper extremity peripheral nerve surgery: enhanced connectivity between motor and visuomotor-parietal regions

The paper examines functional connectivity during drawing tasks after upper extremity nerve surgery, finding differences in connectivity patterns between patients and controls, and between surgical groups.

Functional connectivity correlates of the hierarchical p-factor model in youth at neurodevelopmental risk

The paper examines functional connectivity patterns in youth at neurodevelopmental risk, linking mental health dimensions to brain network organization.

Cortical Functional Connectivity in Mouse Models of Early Blindness: Enucleation vs. Anophthalmia

This study compares cortical network changes in two mouse models of early blindness, finding that spontaneous prenatal retinal activity shapes functional connectivity more than visual experience.

Thalamic Nuclei Functional Controllability Explains Cognition Over and Above Grey and White Matter Structure

The paper examines how thalamic nuclei's structural and functional properties relate to cognitive performance, finding that functional controllability contributes uniquely to specific cognitive domains beyond structural metrics.

fMRI and MEG Fingerprints Diverge at the Individual Level

The paper compares individual variability in fMRI and MEG neural fingerprints, finding low correspondence at the subject level despite population-level similarity.

Functional organization of the human visual system at birth and across late gestation

The paper characterizes the functional organization of the human visual system in neonates and across late gestation, revealing a tripartite structure that develops through intrinsic mechanisms.

Trait-Relevant Tasks Improve Personality Prediction from Structural-Functional Brain Network Coupling

The paper shows that trait-relevant tasks improve personality prediction from structural-functional brain network coupling during resting state and specific tasks.

Data-driven lifespan transitions: cortical morphometry and intrinsic differences across network scales

This paper identifies lifespan transitions in cortical morphometry using a data-driven framework and shows that morphometric features exhibit distinct network organisation patterns across age.

Flexible brain state engagement predicts cognitive control transdiagnostically

This study shows that flexible brain state engagement predicts cognitive control across multiple psychiatric disorders using machine learning and three transdiagnostic datasets.

Chemoarchitectural influences on the cortical connectome confer resilience in aging

The paper examines how chemoarchitecture influences frequency-resolved functional connectivity and how aging affects this relationship, finding that neurochemical-functional alignment varies by frequency and impacts cognitive performance.

A Symphony of Genres: Driving Information Dynamics in Functional Brain Networks

This study examines how different musical genres modulate functional brain networks using EEG data, revealing genre-specific patterns of neural integration and information flow.

Inter-individual differences in cerebrovascular reactivity are synchronized within functional networks and tissue layers: evidence from healthy older adults and patients with hypertension

This study shows that cerebrovascular reactivity (CVR) amplitude and lag co-vary within resting-state networks and tissue layers in healthy older adults and those with hypertension.

Investigating White Matter Functional Network Connectivity Across the Alzheimers Disease Spectrum Using Resting-State fMRI

The paper examines changes in white matter functional connectivity across Alzheimer's disease stages using resting-state fMRI data from ADNI, finding early WM-GM dysconnectivity in MCI.

Charting developmental trajectories of dynamic brain networks during emotional face processing

The paper uses DyNeMo to analyze MEG data from children and adults during emotional face processing, revealing distinct developmental trajectories in brain network activation and connectivity.

Modeling the Brain as an Information Source: An Information-Theoretic Framework for Decoding Cognitive States from fMRI

This paper introduces an information-theoretic framework to decode cognitive states from fMRI data, showing it can identify active brain regions and distinguish between cognitive task phases and expertise levels.

Modeling the Brain as a Shannon Information Source for fMRI-Based Network Analysis in Early Alzheimers Disease Diagnosis

This paper introduces a Shannon information source model for fMRI-based network analysis to diagnose early Alzheimer's disease, finding that entropy increases and inter-regional interactions decrease with disease progression.

Food preference is associated with distinct large-scale cortical functional connectivity patterns during food-image observation

The paper examines how food preference relates to distinct cortical functional connectivity patterns during food image observation using EEG data from healthy adults.

Task-induced topological and geometrical changes in whole-brain dynamics predict cognitive individual differences

This paper develops a computational framework to model how task-induced changes in brain dynamics relate to cognitive individual differences using rsfMRI and tfMRI data.

Parallel processing chains span cytoarchitectures to organize association cortex

The paper identifies parallel processing chains in association cortex using multiple functional mapping modalities, showing they are experience-driven and organized across different cytoarchitectures.

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.

Representations converge as brain maps diverge along the cortical hierarchy

The paper shows that brain representations converge across individuals despite diverse topographic layouts, with topographic differences linked to architectural constraints and developmental factors.

Latent neural network representations of the brain reflect broad-scale adolescent phenotypic variation

The paper uses a convolutional neural network on longitudinal MRI data to derive latent brain representations linked to adolescent phenotypic variation.

The Incremental Cluster Threshold-Free Cluster Enhancement Algorithm for Functional Connectivity Analysis

The paper introduces IC-TFCE, an algorithm that improves the computational efficiency of threshold-free cluster enhancement for functional connectivity analysis, achieving significant speedups for large-scale analyses.

Spinal cord structural and functional architecture and its shared organization with the brain across the adult lifespan

This study maps age-related structural and functional changes in the spinal cord and brain, identifying shared aging patterns across the central nervous system.

Time-resolved directional organization of brain networks: distinct strength and temporal signatures from neurophysiology to disease

This paper introduces a method to analyze directional brain network organization using fMRI data, identifying strength and duration signatures of neural influence across species and conditions.

Metric Validation for Detection of Delayed and Directed Coupling

This paper evaluates effective connectivity metrics for reconstructing neural network topology under data limitations, finding that multivariate transfer entropy is most accurate but slow, while partial cross-correlation is efficient for larger networks.

Dynamic fusion of genomics and functional network connectivity in UK biobank reveals static and time-varying SNP manifolds

Organization of functional brain networks architecture during negative movie watching in late adulthood

This study examines how brain network organization changes with age during negative movie watching, finding reduced integration and altered hub dynamics in older adults.

Resting-state fMRI foundation models enable robust and generalizable latent neural target discovery in cognitive aging interventions

This paper evaluates rsfMRI foundation models for identifying robust neural patterns predicting cognitive intervention outcomes in aging, showing improved performance over conventional methods.

Structural signatures of synergy and redundancy in human brain function

This study uses multivariate information theory to show how structural features of the human connectome influence higher-order information sharing, revealing distinct structural profiles for redundant and synergistic brain region subsets.