Functional Brain Connectivity Studies

Network measures from the REWIRED simulation framework enhance prediction of post-stroke aphasia severity

The paper introduces REWIRED, a simulation framework that uses lesion data to predict post-stroke aphasia severity by analyzing network-level changes, achieving high accuracy with simulation-derived features.

Preserved but not functional: growth biology shapes connectivity resilience in meningioma and glioma

The paper examines how meningioma and glioma tumors affect brain connectivity resilience, finding meningioma shows higher functional connectivity preservation despite structural damage, while glioma shows more balanced damage with worse cognitive outcomes.

Monosynaptic connections link functionally similar regions in human cortex

The paper maps human cortical connectivity using es-fMRI and finds that functional similarity, not distance, primarily determines anatomical connections.

Structural Connectome Analysis using a Graph-based Deep Model for Age and Dementia Prediction

The paper predicts age and MMSE scores from brain connectivity graphs using a graph-based deep learning model, showing improved performance over existing methods.

Developing a multi-modal neuroimaging-based BrainAge model across childhood

This paper develops and benchmarks BrainAge models using multi-modal neuroimaging data from childhood cohorts to distinguish healthy from symptomatic developmental trajectories.

Trajectories of brain organisation transition from predicting externalising to internalising symptoms across adolescence

The paper uses longitudinal neuroimaging and behavioural data to show how brain-behaviour relationships shift from externalising to internalising symptoms across adolescence, identifying age 14 as a critical transition point.

Bandwidth-aware fusion of resting-state EEG-fMRI connectivity in cortical eigenmode space

This paper introduces a model to fuse EEG and fMRI connectivity data by accounting for their complementary spatial and temporal bandwidths, improving age prediction in a cohort.

Emergence of long- and short-range functional connectivity parallels the development of neonatal brain gradients

This study examines the development of functional brain gradients in neonates using resting-state fMRI, finding that short- and long-range connectivity patterns parallel the emergence of macroscale brain organisation.

Robust lesion network mapping reveals symptom-specific circuits

This paper introduces robust lesion network mapping (rLNM) to address statistical validity concerns in lesion network mapping, showing it recovers distinct symptom-specific networks and predicts postoperative language decline.

Modeling Complex Effects and Individual Variability in Multi-Paradigm fMRI with Nonlinear Mixed Models

This paper introduces a nonlinear mixed model (NMM) for fMRI analysis to better capture nonlinear relationships and individual variability, showing improved model fit compared to linear models.

Open-eyed meditation suppresses functional connectivity in EEG across a broad frequency range

This study shows meditation reduces functional connectivity across a broad frequency range in EEG, while aging and gender have narrower frequency-specific effects, and average referencing distorts FC estimates.

Precision fMRI reveals densely interdigitated network patches with conserved motifs in the lateral prefrontal cortex

The paper uses precision fMRI to reveal individual-specific, fragmented, and interdigitated network patches in the lateral prefrontal cortex, showing conserved motifs and distinct functional boundaries not visible in group-averaged data.

Task-evoked deactivations: dissociation between BOLD fMRI and FDG

The paper investigates task-evoked BOLD fMRI deactivations and finds that they do not correlate with decreased glucose consumption, suggesting metabolic stability or increase in these regions.

Rapid connectivity alterations of thalamic nuclei during initial learning of goal-directed behaviour

This study examines thalamic connectivity changes during initial learning of goal-directed behavior using fMRI, finding specific patterns of functional connectivity alterations in higher order thalamic nuclei.

Dissociable, species-specific impact of Aβ on static and dynamic functional connectomes

This paper examines how beta-amyloid affects static and dynamic functional connectomes in mice and humans, finding species-specific differences in network stability and dynamics.

MM-ComBat and MM-CovBat: Multivariate Frameworks for Joint Harmonization of Multi-Metric Neuroimaging Data

The paper introduces MM-ComBat and MM-CovBat, multivariate frameworks to harmonize multi-metric neuroimaging data by jointly addressing batch effects across metrics and features.

Caregiver-infant interactions selectively shape emerging functional connectivity in the neonatal brain

This study shows that caregiver-infant interactions influence functional connectivity in the neonatal brain during the first postnatal month, with specific effects on short- and long-range connectivity.

Shared roles and team membership are reflected in functional connectome similarity: Neural evidence from real-world volleyball teams

The paper examines how shared roles and team membership in volleyball players are reflected in brain functional connectivity patterns during rest and game viewing.

Structural brain networks shape individual-level progression of brain atrophy after stroke

This study shows that structural brain networks influence individual brain atrophy patterns after stroke, with atrophy spreading through the network from the initial lesion.

Tract-explainable and underexplained synchrony play complementary roles in the functional organization of the brain

The paper dissects brain functional synchrony into tract-explainable and tract-underexplained components, revealing their distinct roles in brain organization across species.

Mapping Individualized Developmental Imbalance in Youth and Its Association with Psychopathology

The paper introduces a framework to quantify individualized developmental imbalance in youth using predictive normative modeling and shows it predicts psychopathological vulnerability.

Structural connectome architecture and biological vulnerability shape cortical atrophy in cocaine use disorder

This study identifies cortical atrophy patterns in cocaine use disorder by integrating structural connectome data with gene expression and behavioral maps, revealing key regions and biological processes involved.

A distributed neural architecture of sustained affect across external and internal experience

The paper identifies a distributed neural architecture of sustained affect that generalizes across external and internal experiences and is associated with depression symptoms.

A Deep Learning Framework for Spatiotemporal Modeling of Visual Task fMRI

This paper introduces STREAM, a deep learning framework for analyzing task-fMRI data, revealing directional information flow and reconfiguration in brain networks during visual processing.

Hybrid eTFCE-GRF: Exact Cluster-Size Retrieval with Analytical p-Values for Voxel-Based Morphometry

The paper introduces a hybrid method combining exact cluster-size retrieval with analytical p-values for voxel-based morphometry, achieving faster computation and controlled error rates.

Individual differences reveal distinct age and pubertal contributions to the refinement of the functional cortical hierarchy during adolescence

The paper examines how age and pubertal stage independently influence the refinement of the functional cortical hierarchy during adolescence using longitudinal data.

Test Retest Reliability of Meta Analytic Networks During Naturalistic Viewing

This study compares the test-retest reliability of functional brain networks from resting-state and naturalistic viewing paradigms across two sessions, showing increased reliability with naturalistic viewing but varying by stimuli and networks.

Benchmarking resting state fMRI connectivity pipelines for classification: Robust accuracy despite processing variability in cross-site eye state prediction

The paper benchmarks FC analysis pipelines for classifying resting-state fMRI data between eye open and closed states, finding robust accuracy despite processing variability.

Neonatal Resting-State Functional Connectivity Predicts Socioemotional and Behavioral Outcomes at 18 Months

The paper uses neonatal resting-state fMRI to predict 18-month socioemotional and behavioral outcomes in infants, finding distinct brain network associations between preterm and term-born groups.

Global topology of brain-wide co-fluctuations links task states, personality, and behavioral symptom dimensions

The paper uses topological analysis of fMRI dynamics to show that pairwise co-fluctuations better capture task states and link to personality and symptom dimensions than other interaction representations.