Functional Brain Connectivity Studies

This paper evaluates mid-term reliability of rs-fMRI measures and functional networks on a Compact 3T scanner, finding greater variability across measures and networks than acquisition methods.

The paper quantifies spatiotemporal variability in functional parcellation and connectivity across development, finding distinct developmental trajectories and associations with brain structure and cognition.

This study examines behavioral adaptation during cognitive-motor dual-tasking in older and younger adults using dynamic functional connectivity analysis.

This study shows that changes in whole-brain microstate dynamics after levodopa administration correlate with clinical improvement in Parkinson's disease.

This paper introduces MDSI-AVI, a framework for modeling whole-brain causal interactions in fMRI data, revealing new insights into working memory mechanisms.

This study investigates how denoising systemic low frequency oscillations affects dynamic signatures of central autonomic regulation and their relation to physiological states using multimodal data.

This study tracks longitudinal changes in functional brain networks in SCA7 patients and finds significant network abnormalities linked to disease severity and cognitive decline.

ComBatFamQC provides an R package for batch-effect diagnosis and harmonization in neuroimaging data, integrating visualization, statistical tests, and harmonization methods.

This study identifies hyper-hierarchical brain states in disorders of consciousness and links them to reduced behavioral responsiveness and altered network dynamics.

The paper identifies specialized cerebellar networks in older adults and shows that dynamic functional connectivity patterns distinguish memory performance groups, with instability during encoding predicting retrieval slowing.

The paper shows that cortical resting-state fMRI dynamics are organized along a gradient of distance to criticality, with consistent patterns across subjects.

This study shows lesion network maps still recover ground-truth networks despite low-dimensional bias and proposes a modification to reduce this bias.

The paper examines altered attention network dynamics in resting-state fMRI of individuals with high smartphone addiction scores using dynamic functional connectivity methods.

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 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.

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.

This paper introduces a regression-based beta-series modeling framework to estimate how task-related variables modulate functional connectivity in event-related fMRI, showing improved statistical power and temporal specificity.

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.