Functional Brain Connectivity Studies

Longer scans boost prediction and cut costs in brain-wide association studies

The paper shows longer scans improve prediction accuracy in brain-wide association studies while reducing costs, with 30-minute scans being the most cost-effective.

Intellectual ability and cortical homotopy development in children and adolescents

This study examines how functional homotopy changes with age and its relationship with intelligence in children and adolescents, finding that higher IQ individuals show faster hemispheric specialization.

Large-scale Signal Propagation Modes in the Human Brain

This paper identifies five large-scale signal propagation modes in resting-state fMRI data that predict BOLD dynamics and unify brain network transitions, with implications for cognitive abilities and neurological disorders.

Canonical time-series features for characterizing biologically informative dynamical patterns in fMRI

The paper reduces a large set of time-series features to a smaller, efficient subset for analyzing fMRI data from mouse cortical circuits, showing improved performance and generalization.

Altered Functional Network Energy Across Multiscale Brain Networks in Preterm vs. Full-Term Subjects: Insights from the Adolescent Brain Cognitive Development (ABCD) Study

This study compares functional network energy across multiscale brain networks in preterm and full-term adolescents from the ABCD study, identifying differences in network stability and flexibility.

Mapping the Developmental Trajectory of Functional Brain Networks in Early Infancy: Insights into Typical Maturation

The paper maps functional brain network maturation in early infancy using resting-state fMRI, showing age-related increases in network consistency and engagement.

Human cortex organizes dynamic co-fluctuations along sensation-association axis

This paper identifies amplitude-dependent co-fluctuation transitions along the sensorimotor-association axis using resting-state fMRI data across developmental stages and external stimuli.

Normalized Dynamic Time Warping Increases Sensitivity In Differentiating Functional Network Connectivity In Schizophrenia

This study introduces normalized dynamic time warping to improve sensitivity in detecting functional network connectivity differences in schizophrenia compared to standard DTW and correlation methods.

Brain-heart coupling shapes large scale brain dynamics

The paper investigates how heart rate influences large-scale brain network dynamics using EEG, fMRI, and HR data during emotional stimuli, finding both direct and obscured neural-cardiac links.

Controllability analysis of macaque structural connectome from an edge centric perspective

The paper analyzes edge controllability in a macaque structural connectome to identify critical edges for state transitions in brain networks.

Chronic pain is linked to a resting-state neural archetype that optimizes learning from punishments

The paper identifies a neural archetype associated with chronic pain susceptibility by analyzing resting-state networks in population and clinical samples.

DeepDisco: A Deep Learning Tool for Rapid Brain Connectivity Estimation

DeepDisco predicts brain connectivity maps from binary regions or lesions using deep learning, providing a scalable and accessible tool for large datasets.

Inferring Progressive Disconnection in Alzheimer's Disease with Probabilistic Boolean Networks

This study uses probabilistic Boolean networks to model brain connectivity in Alzheimer's disease, identifying five declining connections and a disruption from the Default Mode Network to the Medial Temporal Lobe.

Modular dynamics of conscious and unconscious states in marmoset cortex

This study examines how isoflurane affects functional brain networks in marmosets, finding reduced network dynamics and increased similarity to anatomical structure under anaesthesia.

Bridging local and global dynamics: a biologically grounded model for cooperative and competitive interactions in the brain

This paper introduces a biologically grounded model that explains both cooperative and competitive interactions in the brain using laminar-specific cross-frequency coupling, validated on fMRI data from 60 subjects.

Cellular basis for cortical network aging in primates

The paper integrates spatial transcriptomics and cortical networks in macaques to identify cellular correlates of aging, finding age-related declines in transmodal networks linked to inhibitory and glial cells.

RS-fMRI Evidence for Differential Within- and Between-Module Interactions Across Age

The paper examines age-related changes in within- and between-module interactions in rsfMRI data, finding stronger within-module inhibitory effects in older adults.

Comparing Intra- and Inter-individual Correlational Brain Connectivity from Functional and Structural Neuroimaging Data

This study compares intra- and inter-individual brain connectivity patterns using longitudinal neuroimaging data, finding that intra-individual correlations better reflect resting-state functional connectivity and are influenced by aging and state-like variability.

Individual uniqueness of connectivity gradients is driven by the complexity of the embedded networks and their dispersion

The paper investigates individual uniqueness in brain connectivity gradients using resting-state fMRI data, finding that network complexity and dispersion influence identification rates.

Intrinsic dynamic shapes responses to external stimulation in the human brain

The paper applies a VARX model to intracranial recordings to separate intrinsic brain dynamics from external stimuli, finding that intrinsic dynamics enhance and prolong neural responses to sensory inputs.

The neuroimaging correlates of depression established across six large-scale datasets

This study identifies neuroimaging correlates of depression across six large-scale datasets, finding gray matter reductions in specific brain regions and unexpected results in subcortical and functional connectivity analyses.

Examining Relationships between Functional and Structural Brain Network Architecture, Age, and Attention Skills in Early Childhood

This study examines how structural and functional brain network architecture, age, and attention skills develop in early childhood using graph theory and longitudinal neuroimaging data.

Analysis of Longitudinal Change Patterns in Developing Brain Using Functional and Structural Magnetic Resonance Imaging via Multimodal Fusion

The paper links functional change patterns to brain structure using multimodal fusion in adolescents, revealing sex-specific differences in neural dynamics.

A method for estimating dynamic functional network connectivity gradients (dFNG) from ICA captures smooth inter-network modulation.

This paper introduces dFNG, a method to estimate dynamic functional network connectivity gradients from ICA, and applies it to schizophrenia data to reveal distinct connectivity patterns between patient and healthy groups.

Musicians' brains at rest: Multilayer network analysis of MEG data

This study uses multilayer network analysis of MEG data to show that musicians have distinct modular brain organization in specific frequency bands compared to non-musicians.

Applying functional MRI analysis techniques to whole-brain calcium-imaging data to investigate structural and functional relationships in Drosophila melanogaster

The paper applies fMRI analysis techniques to whole-brain calcium imaging data in Drosophila to study structural and functional connectivity relationships.

Thalamic Network Controllability Predicts Cognitive Impairment in Multiple Sclerosis

This study shows that reduced thalamic network controllability in MS patients predicts cognitive impairment better than thalamic volume.

Neural Timescale of Adolescents Major Depressive Disorder

This study identifies altered neural timescales in adolescents with major depressive disorder, linking them to clinical symptoms and neurobiological mechanisms.

Effects of Tasks on Functional Brain Connectivity Derived from Inter-Individual Correlations: Insights from Regional Homogeneity of Functional MRI Data

The paper examines how different tasks affect inter-individual functional brain connectivity estimates using regional homogeneity from fMRI data across seven tasks and a resting state.

Information Spillover in Resting Memory and Working Memory

This study uses fMRI and vector autoregressive models to analyze information spillover between brain regions during resting and working memory states, finding that resting memory has significantly higher neural dependencies.