Functional Brain Connectivity Studies

The paper analyzes fMRI data to show that infection-related images reduce cortical edge metastability, with significant results surviving multiple corrections.

The paper examines pre-stress functional brain connectivity in relation to anxiety during war-related stress and finds lower baseline connectivity between the right nucleus accumbens and right amygdala is linked to higher subsequent anxiety.

This study compares functional connectivity development in preterm and full-term brains using longitudinal MRI scans, finding divergent patterns in connectivity trajectories.

The paper presents a connection-level genetic atlas of human cortical functional connectivity, identifying genetic loci associated with resting and task states.

The paper uses multimodal connectome data to identify patterns of functional and structural connectivity associated with disruptive behavior severity and change in youth.

The paper examines whether increased salience network surface area in adolescents is specific to depression or a general marker of psychopathology, finding stronger associations with overall psychopathology than depression alone.

The paper compares five algorithms for deriving structural covariance networks in the thalamocortical system and finds they emphasize different neurobiological aspects based on their mathematical properties.

This study maps brainstem-cortical connectivity in aging and prodromal synucleinopathy, finding distinct pathway vulnerabilities in each condition.

This paper introduces a scalable method for estimating effective connectivity in fMRI data, showing it matches advanced DCM results and outperforms functional connectivity for connectome fingerprinting.

This paper translates group-level neurophysiological biomarkers into individual-level phenotyping to identify mechanisms of neurodegenerative diseases using MEG data.

This study examines insula functional connectivity development across 562 individuals, showing spatially heterogeneous changes aligned with an antero-posterior axis.

The paper investigates cerebello-basal ganglia network connectivity across adulthood and aging, finding age-related changes, sex differences, and associations with cognitive performance and steroid hormones.

The paper links habitual sleep duration to brain network controllability, finding longer workday sleep is associated with higher somatomotor controllability and lower visual cortex controllability.

This paper introduces M/EEG-FUNCOIN, a normative modeling approach for whole-brain functional connectivity in MEG data, showing improved characterization of age and sex-related patterns and detection of connectivity deviations linked to cognitive ability.

The paper predicts structural and functional brain age gaps from MRI data to assess their predictive power for cognitive performance in healthy adults.

The paper links functional brain network connectivity across age and psychiatric disorders to neurobiological microprofiles, showing stage-specific associations.

This study uses machine learning to predict alcohol consumption from resting-state fMRI connectivity, finding weak but reproducible signals with limited predictive power.

This study uses longitudinal fMRI to show that adolescent cannabis use is associated with distinct changes in functional network organisation compared to adults.

The paper uses rs-fMRI to detect altered functional connectivity in Ndufs4 knockout mice during the pre-symptomatic stage of Leigh syndrome, finding increased connectivity in multiple brain regions and no effect of KH176 treatment.

The paper evaluates how well population-level connectome harmonics represent individual brains across different dimensions and finds they can be useful despite not perfectly matching individual data.

The paper maps cerebellar functional connectivity in neonates, identifying intrinsic networks and cerebro-cerebellar clusters that mature with age, suggesting early foundations of adult organization.

The paper identifies recurring brain states across tasks and links their dynamics to trial-to-trial performance and individual response strategies.

This study examines neonatal functional brain network organisation using fMRI and links it to childhood neurodevelopmental outcomes, finding associations with later difficulties in 4-6 year olds.

This study uses multiscale multimodal data integration in a mouse model of traumatic brain injury to identify biomarkers of memory deficits and network dedifferentiation.

This study uses functional connectome fingerprinting to show that individual brain organization remains stable during social interactions, with connectivity patterns linked to social roles and autistic traits.

The paper investigates brain dynamics in anhedonia using resting-state fMRI, finding a shift in cortico-subcortical hierarchy from bottom-up to balanced.

The paper shows that alpha-range EEG oscillations are linked to dynamic BOLD brain networks, with low-alpha periods associated with unique configurations and both low- and high-alpha periods linked to overlapping networks.

This study uses hidden Markov modeling to analyze dynamic functional connectivity in MS patients, finding altered state occupancy and transitions associated with disability and cognition.

This paper introduces a multimodal graph connectivity framework to track ischemic injury and treatment in non-human primates using resting state fMRI and DTI, revealing significant connectivity disruptions and enabling early detection of metabolic collapse.

This study examines brain-thought relationships during movie-watching, finding that sensory-related neural signatures are consistent across films, while memory-related processes vary with context and modeling approaches.