Functional Brain Connectivity Studies

Developmental links between play behavior and brain network integration

This paper investigates how play behavior in children is linked to brain network integration, finding stronger connections among the default mode, executive control, and salience networks with more frequent play.

A network for self-transcendence derived from patients with brain lesions

This study identifies a brain network associated with self-transcendence using lesion network mapping in patients with brain lesions.

Effects of age on resting-state cortical networks

This study examines how age affects resting-state cortical networks using MEG data from 612 healthy adults, finding age-related changes in oscillatory power and coherence, and dynamic network dynamics.

Testing hypotheses about correlations between brain activation patterns

This paper develops a method to test hypotheses about the correlation between brain activation patterns in fMRI studies, showing that a subject-wise bootstrap on the maximum-likelihood group estimate performs best.

White Matter Myelin Shapes Macroscale Functional Connectivity Through Integrative Communication

This study shows how white matter myelin and tract caliber influence large-scale brain communication by shaping distinct functional connectivity patterns.

Modeling differences in neurodevelopmental maturity of the reading network using support vector regression on functional connectivity data

This paper uses support vector regression to model brain-age gaps in reading networks, finding that reading ability affects predicted brain maturity.

Functional connectome harmonics capture early brain organization and maturity in neonates

This study uses functional connectome harmonics to analyze neonatal brain gradients and finds that power and energy metrics differ between term and preterm neonates, predicting postmenstrual age.

Beyond Regional Activations: Structural Connectivity Message-Passing Shallow Neural Networks for Brain Decoding

This paper introduces a shallow neural network with structural connectivity message-passing for brain decoding, achieving 83.0% classification accuracy using fMRI data from 30 subjects.

What Is a Generative Model? Definitions, Disagreements, and Evaluation in Human Neuroimaging

The paper surveys neuroimaging researchers on definitions, usage, and evaluation of generative models, revealing both agreement and disagreement on criteria and methods.

Nonlinear trajectories of language network development

The paper identifies a nonlinear developmental trajectory of the language network through multimodal neuroimaging and behavioral measures, showing stages of localization, distributed state, and return to localization.

Multiscale reorganization of brain and behavior under large-scale electrical perturbation

The paper identifies multiscale principles of brain reorganization under electrical perturbation by integrating neuroimaging, connectomics, and transcriptomics data from 148 experiments.

Thalamocortical constraints on areal connectivity in the developing human brain

This study examines how thalamocortical innervation timing and spatial distribution influence cortical network formation during gestation, finding that hubs emerge from spatiotemporal constraints rather than preferential targeting.

Personalized whole-brain Ising models with heterogeneous nodes capture differences among brain regions

This paper develops personalized whole-brain Ising models that account for node heterogeneity, showing that optimal binarization thresholds balance goodness-of-fit and regional heterogeneity.

Brain digital twins reveal network changes in congenital and slowly progressive cerebellar ataxias

This study uses brain digital twins to compare network changes in congenital and slowly progressive cerebellar ataxias, finding distinct patterns in network topology and dynamics that correlate with clinical symptoms.

Distinct resting-state connectomes for face and scene perception predict individual task performance

The paper maps functional connectivity of FFA and PPA using resting-state fMRI and MEG, showing distinct networks that predict individual task performance in face and scene perception.

Revisiting Amplitude of Low-Frequency Fluctuations (ALFF) in Resting-state fMRI: Clarifications and Improvements

This paper clarifies and improves the ALFF and fALFF methods in resting-state fMRI by introducing new variants and analyzing their relationships with MBI and normalization effects.

Multi-Task Batteries for Precision Functional Mapping

This paper introduces multi-task batteries for functional brain mapping, showing they improve localization and parcellation compared to single-contrast approaches.

Task-evoked functional connectivity exhibits novel and strengthened relationships with executive function relative to the resting state

This study compares brain network organization during resting state and executive function tasks, finding task-evoked networks show new and strengthened relationships with executive function ability in children.

Spatial Bias in Lesion Network Mapping Is Connectome-Independent

The paper tests whether spatial bias in lesion network mapping is driven by connectome features, finding no consistent bias across datasets.

Digital Twin Brain simulation and manipulation of a functional brain network underlying mental illness

The paper develops a digital twin brain model that simulates and manipulates functional brain networks to predict mental illness symptoms and responses to interventions.

Time-resolved brain network community detection based on instantaneous phase of fMRI data

This paper introduces a method to detect time-resolved brain networks from fMRI data using instantaneous phase, revealing how brain regions synchronize and reorganize during tasks.

Visual experience shapes functional connectivity between occipital and non-visual networks

The paper compares functional connectivity in visual cortices of blind and sighted adults with infants to show that visual experience shapes long-range connectivity patterns.

Shared brain basis for altered self-referential processing across psychiatric disorders? A systematic review and meta-analysis of neuroimaging studies

This study reviews and meta-analyzes neuroimaging studies on self-referential processing in psychiatric disorders, finding shared neural aberrancies but limited evidence for a transdiagnostic feature.

Normative modelling of brain function abnormalities in complex pathology needs the whole brain

The paper introduces FUNCOIN, a whole-brain normative model for functional connectivity, and shows it detects abnormal patterns in bipolar disorder and Parkinson's disease better than localized models.

Functional connectivity patterns as an early indicator of later very early preterm outcomes

The paper uses connectome-based predictive modeling to show that early functional brain connectivity in preterm infants predicts later neurocognitive outcomes.

Cortical excitability inversely modulates fMRI connectivity via low-frequency neuronal coupling

The paper shows that cortical excitability inversely affects fMRI connectivity, with low-frequency neuronal coupling being the key driver of these changes.

The Developmental Trajectory of the Social Brain: A Movie-Based Exploration from childhood to adolescence

This study examines the developmental trajectories of social cognition networks in children and adolescents using movie-based functional connectivity analysis.

Connectome-wide mega-analysis identifies a reproducible functional network signature of temporal lobe epilepsy

The paper identifies a reproducible functional connectivity signature in temporal lobe epilepsy through a large-scale connectome-wide analysis.

Population-wide variation in connectopic organization of cerebral language hubs

The paper uses connectopic mapping on UK Biobank data to analyze variation in language-related brain connectivity and identifies genetic loci associated with these patterns.

High-temporal resolution metabolic connectivity resolved by component-based noise correction

This paper develops a noise correction method for high-temporal resolution fPET data, showing it improves metabolic connectivity estimation across different scanners and frequency bands.