Functional Brain Connectivity Studies

The paper examines how childhood adversity dimensions relate to frontostriatal network connectivity and anhedonia in young adults, finding sex-specific associations.

This study compares parcellation strategies in schizophrenia rs-fMRI, finding that individualized parcellation better captures dynamic brain dynamics and symptom associations.

This study analyzes nonlinear developmental trajectories of brain networks in infants using a cubic model, revealing network-specific growth patterns and interactions.

The paper shows that using low-dimensional temporal subspaces from fMRI data reveals distinct functional connectivity regimes that depend on cognitive state and individual identity.

The paper estimates intrinsic dimensionality in fMRI data across development, finding that task-relevant brain regions have higher-dimensional activity in adults, while infants show no such modulation.

This study identifies a low-dimensional subspace in resting state fMRI that captures reliable individual differences and can accurately identify participants.

This study evaluates Precision Functional Mapping (PFM) in youth multi-echo fMRI data, showing improved functional connectivity reliability and network stability with increased data quantity.

This paper reviews how neighborhood-level factors relate to functional brain connectivity across the lifespan, finding associations between area-level disadvantage and altered brain network organization.

The paper examines how environmental exposures affect whole-brain functional connectivity and cognition in youth using machine learning and the ABCD Study data.

Brainana provides an automated preprocessing framework for macaque neuroimaging, enabling reproducible and scalable analysis across multiple sites.

This paper models the brain as a multiplex network to show that healthy aging involves a progressive divergence between structural and functional connectomes, with subcortical hubs showing significant age-related decoupling.

The paper uses an intrinsic ignition framework to analyze resting-state fMRI data and reveals hierarchical propagation pathways of spontaneous activity in the human brain, linking local events to global patterns and behavioral traits.

The paper examines brain network dynamics in individuals with and without psychiatric diagnoses, finding that these dynamics can differentiate symptom profiles more effectively than diagnostic categories.

This paper introduces beta-PPI, a method to estimate how trial-wise variables modulate functional connectivity in event-related fMRI, showing improved statistical power and temporal specificity.

The paper introduces siibra, a software tool suite that integrates diverse brain data into a Multilevel Human Brain Atlas, enabling interoperable analysis and visualization.

This paper shows that individualized connectome harmonics reveal a hierarchical organization linking brain structure, function, and cognition across 875 participants.

The paper investigates whether the Physics Network and Multiple Demand system in the human brain are distinct, finding they are dissociable spatially and functionally.

This study examines age-related changes in functional connectivity during the Stroop task using fMRI and Bayesian hierarchical modeling, finding reduced inter-subject similarity and specific spatial reorganization in older adults.

This paper identifies latent subgroups in functional brain organisation using large-scale resting-state fMRI data from UK Biobank participants, revealing associations with cognitive, lifestyle, and health phenotypes.

The paper shows that functional connectivity gradients vary with cortical sampling position and brain state, revealing state-dependent reconfiguration of surface representations.

This study shows early adversity increases the size of the somato-cognitive action network in the developing brain, particularly in response to threat, and this change is linked to poorer cognition.

This study maps hippocampal and amygdala subregions using resting-state fMRI from 722 participants, revealing structured co-representation patterns and divergence in functional connectivity.

This study investigates gaze-dependent brain activity during eyes-closed rest and sleep using MR-based eye-tracking, revealing widespread cortical and cerebellar coupling and altered functional connectivity when accounting for gaze.

The paper tests functional connectome fingerprinting to improve reproducibility of functional connectivity analysis pipelines by optimizing pre- and post-processing parameters.

The paper uses a data-driven framework combining dynamical system reconstruction and model predictive control to analyze neural state transitions in fMRI data from individuals with remitted major depressive disorder and healthy controls.

This study examines the effects of expiratory muscle strength training on brain structure and function in healthy adults, finding increased functional connectivity without structural changes.

This paper shows that white-matter BOLD signals can be predicted from cortical activity using multivariate encoding, revealing functional organization beyond pairwise connectivity.

This study examines thalamo-cortical and thalamo-hippocampal functional connectivity in temporal lobe epilepsy, finding reduced connectivity in TLE patients and its association with seizure generalization and surgical outcomes.

The paper develops a timescale-aligned framework to measure amplitude balance in brain networks and finds greater imbalance and slower recovery in schizophrenia, linked to symptoms and cognition.

This paper identifies physiological arousal as a major source of individual differences in functional brain networks, showing strong correlations between arousal and network properties across multiple sessions and samples.