Functional Brain Connectivity Studies

Energetic implications of fMRI-based nodal complex network metrics: a complex picture unfolds across diverse brain states

The paper examines the relationship between fMRI-based network metrics and glucose metabolism across different brain states and diseases, finding state- and network-dependent metabolic associations.

Selective Age-Related Changes in Brain Network Connectivity During Young Adulthood: Sensory Networks Decrease While Hub Networks Remain Stable

Disrupted dynamics of brain structure function coupling link genetic risk of Alzheimer's Disease and aging to cognitive decline in 34,067 adults

The paper examines how static and dynamic structure-function coupling in the brain relates to cognitive decline and Alzheimer's risk in 34,067 adults.

Mapping Functional Homologies Between Human and Marmoset Brain Networks Using Movie-Driven Ultra-High Field fMRI

This study uses movie-driven fMRI to compare functional brain networks between humans and marmosets, finding conserved sensory networks but species-specific higher-order cognition networks.

HONeD-in on Brain Activity: Deconvolving Passive Diffusion on the Structural Network from Functional Brain Signals

The paper introduces HONeD-in, a method to deconvolve passive diffusion effects from functional MRI signals, revealing active brain activity patterns.

Fidelity of Spatiotemporal Patterns of Brain Activity Across Sampling Rate, Scan Duration, and Frequency Content

This study evaluates how scan duration, TR, and frequency bands affect the reliability of functional connectivity patterns derived from rs-fMRI using QPPs and cPCA.

Reducing type II error in fMRI analysis: Cluster-extent threshold simulation results and an evaluation of current methods to correct for multiple comparisons

This study shows that incorporating sample size into fMRI cluster threshold calculations reduces type II error and improves accuracy.

A Mechanistic Whole Brain Model to Capture Simultaneous EEG-fMRI Data

This paper introduces a novel oscillatory network model to simulate simultaneous EEG-fMRI data, showing improved replication of functional connectivity and dynamics across spatiotemporal scales.

Function of the auditory cortex characterized by its intrinsic dynamic coactivation patterns estimated in individuals

The paper characterizes the auditory cortex's function through dynamic coactivation patterns identified in fMRI data, showing consistency between resting-state and task conditions.

Systematic fMRI signal differences across cohorts alter lifespan trajectories of functional brain networks

The paper examines how systematic fMRI signal differences across cohorts affect lifespan trajectories of functional brain networks and shows how harmonization can mitigate these effects.

Promise and Limits of Hierarchical Dynamical RNNs for Individualized Resting-State fMRI

This paper evaluates hierarchical shallow piecewise-linear RNNs for modeling individual resting-state fMRI, finding they capture functional connectivity but have limited predictive power for phenotypic variables.

Convergent and divergent spatial topographies of individualized brain functional networks and their developmental origins

This paper introduces FOCA, a framework to analyze spatial coordination of functional brain networks, revealing convergent and divergent patterns and their developmental origins.

Forecasting Perception Before It Happens: Context-Specific Connectivity Patterns Predict Perceptual Outcomes

The paper shows that pre-stimulus brain connectivity patterns predict perceptual outcomes across different tasks, with task-specific connections dominating predictions.

Lifestyle and transcriptional signatures associated with ethnicity/race-related variations in the functional connectome

The paper investigates ethnicity/race-related differences in brain functional connectivity, linking them to lifestyle factors and transcriptional patterns.

Memory-Related Default-Executive Coupling Across the Lifespan and Associations with Changes in Cognitive Control

The paper examines age-related changes in functional connectivity between the dLPFC and DMN during memory tasks and links it to cognitive control decline in aging.

Is the whole more than the sum of its parts? Considering global and local features of the connectome improves prediction of individuals and phenotype

This paper improves brain connectome analysis by incorporating global and local features, enhancing individual identification and phenotype prediction.

Interoception Network in the Rat Brain

This study identifies an interoception network in the rat brain that is dynamically regulated by visceral inputs and depends on vagus nerve signaling.

Individualized Mapping of Functional Brain Networks in Older Adulthood

This study shows that individualized functional brain network mapping in older adults reveals more heterogeneity and improves network fidelity compared to group-averaged approaches.

Single voxel autocorrelation reflects hippocampal function in temporal lobe epilepsy

This study examines how hippocampal dysfunction in temporal lobe epilepsy affects single voxel autocorrelation, finding longer intrinsic timescales in left TLE patients and a link between cluster preservation and memory performance.

An Evaluation of the Efficacy of Single-Echo and Multi-Echo fMRI Denoising Strategies

This study evaluates denoising strategies for resting-state fMRI, finding that multi-echo pipelines generally outperform single-echo ones but no single method is optimal for all tasks.

From nodes to pathways: an edge-centric model of brain function-structure coupling via constrained Laplacians

This paper introduces a constrained Laplacian method to analyze function-structure coupling at the edge level in brain networks, demonstrating its application across multiple datasets.

Experimental Quality Control Induces Changes in Allen Mouse Brain Connectomes

The paper applies quality control to the Allen Mouse Brain Connectivity Atlas, rebuilding connectomes and showing changes in connectivity patterns and organizational structure.

States of dynamic connectivity flow in temporal multiplex networks: a case study in human epilepsy and postictal aphasia

The paper introduces a framework to analyze dynamic functional connectivity in epilepsy patients, identifying distinct network flow styles linked to seizure onset and postictal aphasia.

Estimating fMRI Timescale Maps

This paper introduces two methods to estimate timescales in resting-state fMRI, showing the time-domain method is more accurate and provides valid statistical inference with Python implementations.

The turbulent brain: Modelling vortex interactions for understanding human cognition

This paper introduces a whole-brain model of turbulent vortices to understand cognition by analyzing neuroimaging data and showing its ability to distinguish cognitive states and tasks.

Recurring Transient Brain-Wide Co-Activation Patterns from EEG Spatially Resembling Time-Averaged Resting-State Networks

This study identifies recurring transient cortical co-activation patterns from resting-state EEG that spatially resemble classical resting-state networks, suggesting they capture fast neuronal dynamics underlying spontaneous brain activity.

Dynamics-Informed Priors (DIP) for Neural Mass Modelling

This paper introduces DIP-DCM, a method that improves parameter estimation in neural mass models by using dynamics-informed priors, showing better performance in predicting neuroimaging data and capturing disease mechanisms.

Structural Connectome Dimension Shapes Brain Dynamics in Health and Disease

This study estimates the dimension of structural connectomes to understand their influence on brain dynamics in health and disease, finding it correlates with cognitive performance and lesion effects.

Mitigating activity mixing with personalized whole-brain modeling

The paper develops a whole-brain modeling approach to mitigate activity mixing in neuroimaging data, improving brain-symptom correlation estimates and localization.

Social Disconnection in the Brain: Loneliness and Age across Networks using Graph Theory

The paper examines the relationship between loneliness, age, and brain network organization using graph theory on neuroimaging data, finding an age-by-loneliness interaction in specific networks.