Functional Brain Connectivity Studies

This study examines the developmental trajectories of social cognition networks in children and adolescents using movie-based functional connectivity analysis.

This paper develops a noise correction method for high-temporal resolution fPET data, showing it improves metabolic connectivity estimation across different scanners and frequency bands.

Untamed improves cortical parcellation by combining tensor decomposition and graph node embedding, producing spatially coherent regions aligned with functional networks.

The paper uses brain age gaps to identify developmental trajectories in youth, finding distinct patterns in ADHD and cognitive profiles.

This paper adapts network control theory to model spatially diffuse input signals in the human brain, showing reduced energy for state transitions and matching existing neurobiological maps.

This study examines age-related changes in frequency-specific resting-state functional connectivity across the adult lifespan using MEG data and finds associations with sensorimotor function.

This study challenges the idea that the rich club controls brain dynamics, showing low-degree regions are more effective in controlling the human connectome across various brain states and parameters.

The paper identifies genetic variants associated with functional brain connectivity in a large cohort, linking them to neurodevelopment and health-related traits.

This study uses resting-state fMRI to analyze dynamic functional connectivity dwell-time patterns in middle-aged adults to differentiate Alzheimer's disease genetic risk profiles.

The paper develops a whole-cortex model of resting-state fMRI activity in mice, showing that attractor dynamics explain the emergence and structure of co-activation patterns (CAPs) through anatomical connectivity.

This study develops dynamic brain fingerprinting using state-specific functional connectivity, showing improved individual identification and cognitive prediction compared to static methods.

This study identifies energy inefficiency as a mechanism underlying brain state dysregulation in major depressive disorder, linking it to specific brain regions and biological factors.

The paper tracks mesoscale brain network dynamics during visual learning in mice using chronic single-unit recordings and finds functional connectivity reorganization during task learning.

This paper develops and compares Baseline-Conditioned Norms (B-Norms) and Cross-Sectional Norms (C-Norms) for predicting longitudinal cortical thickness changes, finding B-Norms provide better fits and detect pubertal changes more effectively.

This study links intrinsic functional brain organization to energy expenditure patterns, showing that functional connectivity dimensions explain significant variance in metabolic maps.

The paper examines interactions between sensory-biased and supramodal working memory networks using fMRI data from human participants, finding asymmetry in connectivity during auditory versus visual tasks.

This study examines functional connectivity changes in SCA10 patients and links them to gray matter atrophy and clinical scores.

This study predicts adolescent substance use facets using resting-state connectivity, finding improved prediction accuracy over time with different facets being predicted at baseline and follow-up.

This study examines the relationship between BOLD signal variability, complexity, and static/dynamic functional brain network features during movie viewing using graph theory analysis.

This study compares the effects of total sleep deprivation and chronic sleep restriction on brain network organization using fMRI and finds they alter functional connectivity differently.

The paper maps directed cortico-limbic signaling in the human brain using electrical probing, finding limbic structures send twice as many signals as they receive during wakefulness and sleep.

This study uses fMRI and DCMs to compare frontoparietal network connectivity during working memory in NF1 adolescents and neurotypical controls, finding increased intrinsic connectivity in NF1 with mixed modulatory effects.

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

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

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

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

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

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

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.

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.