Functional Brain Connectivity Studies

A Conserved Locus Coeruleus fMRI Signature of Brain-State Transitions across Sleep, Anesthesia, and Wakefulness

The paper identifies a conserved locus coeruleus (LC) fMRI signature across sleep, anesthesia, and wakefulness, showing its impact on brain-state transitions and functional connectivity.

The progression of sex differences in brain networks across the lifespan

The paper analyzes sex differences in brain networks across the lifespan using a new AI-based method, finding minimal differences in early childhood, pronounced in adulthood, and diverging in later life.

Dopamine shapes brain metastate dynamics

This study investigates how dopamine affects brain metastate dynamics using a combination of PET, fMRI, and hidden Markov modeling, finding that dopamine shifts the balance between internally oriented and sensorimotor-perceptual brain states.

Linear and Nonlinear Oscillatory Functional Brain Networks in Euthymic Bipolar Disorder Classification

The paper investigates oscillatory functional brain networks in euthymic bipolar disorder, finding distinct roles for linear and nonlinear networks in capturing dysconnectivity, with nonlinear features showing greater biomarker potential.

Higher-order intrinsic routes support flexible task-evoked communication

The paper shows that task-evoked communication relies on higher-order intrinsic routes within a stable network architecture, improving prediction of global activity.

Metabolic Connectivity Gradients of the Human Brain

This study identifies four metabolic connectivity gradients in the human brain, linking metabolic activity, cortical structure, and cognitive function across the lifespan.

Circuit-Specific Resting-State fMRI Signatures for Stratifying First-Episode Major Depressive Disorder and Predicting Recurrence Risk

The paper develops a neurocomputational framework to predict recurrence risk in first-episode depression using resting-state fMRI and identifies circuit-level neural correlates of relapse.

Resting-state functional connectivity after creativity training with music composing

The paper examines resting-state functional connectivity changes after a short-term creativity training program using music composing, finding no significant group-by-time interaction.

Graph-Based EEG Symmetry Features from the Temporal Lobe as Markers of Antidepressant Treatment Response

The paper identifies EEG symmetry features from the temporal lobe as potential early markers of antidepressant treatment response in MDD patients.

Neuromark Fusion: A Replicable Multimodal Template for Structure-Function Fusion of Brain MRI

The paper develops a normative template for multimodal brain MRI fusion using ICA, showing it guides new dataset analyses and correlates with age.

When Randomness Becomes Rigid: Dynamic Connectivity Entropy and Symptom-Linked Network Dysfunction in Schizophrenia

The paper introduces DICE, a framework analyzing dynamic functional connectivity entropy in schizophrenia, revealing distinct pathophysiological signatures linked to symptom dimensions.

An open, fully-processed data resource for studying mood and sleep variability in the developing brain

The paper introduces an open data resource combining neuroimaging and behavioral measures to study mood and sleep in adolescents and young adults.

Uncovering Dynamic Neural Information Flow with Continuous-Time Weighted Dynamic Bayesian Networks

This paper introduces CTwDBN to model dynamic neural information flow and shows it captures long-term temporal fluctuations in cortical networks.

Brain functional connectivity initiates structured reorganization at a critical oxygen threshold during hypoxia

This study identifies a critical oxygen threshold triggering functional connectivity reorganization in the brain during hypoxia, with implications for early detection of neurological vulnerabilities.

Spatial Heterogeneity and Subtypes of Functional Connectivity Development in Youth

This study identifies subtypes of functional connectivity development in youth using fMRI data, revealing spatial patterns linked to cognitive performance and gene expression.

Multi-modal and multi-region distance model for neuroimaging: Application to ABCD study

The paper introduces a UGEE framework for analyzing multimodal neuroimaging data, showing it accurately estimates effects and is 100x faster than permutation methods.

PRISME: A MATLAB Toolbox For Large Data-Driven Multimodal Power Benchmarking

PRISME is a MATLAB toolbox for neuroimaging power benchmarking that enables large-scale empirical power analysis across diverse data types and test types.

The neural correlates of shared and individual experience

This paper identifies neural correlates of individual and shared experiences using fMRI data from naturalistic storytelling under varying anaesthesia levels.

Energy Landscape Analysis Reveals Thalamic Modulation of Brain State Transitions During Movie Watching

This study uses energy landscape modeling on fMRI data to identify brain states and their transitions during movie watching, revealing thalamic modulation of neural dynamics.

Distributed fMRI patterns coupled to low-frequency cardiorespiratory dynamics provide markers of aging

The paper predicts chronological age from whole-brain fMRI-physiology coupling patterns, showing brain regions involved in autonomic regulation are key predictors.

Reliability and validity of multi-band multi-echo fMRI

This study evaluates the reliability and validity of multi-band multi-echo fMRI for mapping individual differences in spontaneous brain activity, showing improved reliability and detectable differences in resting states.

Deciphering Multiway Multiscale Brain Network Connectivity:Insights from Birth to 6 Months

This study investigates multiway, multiscale brain network interactions in infants, finding that tri-FNC provide additional insights beyond pairwise interactions during early brain development.

Microstate-specific functional connectivity in alcohol use disorder using resting-state EEG

This study uses resting-state EEG microstate analysis to show altered brain dynamics and reduced functional connectivity in alcohol use disorder compared to healthy controls.

Global functional connectivity of cognitive control network predicts task-switching performance in older adults

The paper examines how global functional connectivity of the default mode network (DMN) relates to task-switching performance in older adults, finding that lower mixing costs correlate with greater negative DMN connectivity.

Brain glucodynamic variability is an essential feature of the metabolism-cognition relationship

This study shows that variability in glucose metabolism, not just average rates, is linked to cognitive performance and metabolic network efficiency, with reduced variability in older adults associated with worse cognition.

Impact of meningioma and glioma on whole-brain dynamics

This study examines how meningiomas and gliomas affect brain dynamics using resting-state fMRI, finding distinct disruptions in dynamical complexity metrics between the two tumor types.

Gliomas preferentially develop within the action-mode network

This study identifies a functionally connected glioma network overlapping with the action-mode network and shows its prognostic significance and association with acetylcholine transporter expression.

Dynamic Resting-State Network Markers of Disruptive Behavior Problems in Youth

The paper identifies dynamic resting-state brain network markers associated with disruptive behavior problems in children using fMRI data from the ABCD Study.

Lower motor performance is linked with poor sleep quality, depressive symptoms, and grey matter volume alterations

This study links lower motor performance with poor sleep quality, depressive symptoms, and grey matter volume changes across different age groups.

Developmental Variations in Recurrent Spatiotemporal Brain Propagations from Childhood to Adulthood

This study examines how spatiotemporal brain activity propagations change from childhood to early adulthood, finding that certain propagation patterns become more prevalent with age and correlate with cognitive performance.