Functional Brain Connectivity Studies

Overlooked features lead to divergent neurobiological interpretations of brain-based machine learning biomarkers

The paper shows that overlooked brain connectivity features can yield different neurobiological interpretations with similar prediction accuracy in neuroimaging studies.

Constructing the Human Brain Metabolic Connectome Using MR Spectroscopic Imaging: Insights into Biochemical Organization, Cytoarchitectonic Similarity and Gene Co-expression Networks

The paper constructs the first human brain metabolic connectome using MR spectroscopic imaging, revealing distinct topological features and alignment with cytoarchitectonic and genetic patterns.

Longitudinal changes in functional connectivity networks in the first year following stroke

This study tracks changes in brain functional connectivity networks over 12 months post-stroke using resting-state fMRI in 17 patients and 13 controls, revealing distinct patterns in modularity, hemispheric symmetry, and homotopic connectivity.

Frequency-Specific Resting-State MEG Network Characteristics of Tinnitus Patients Revealed by Graph Learning

This study uses graph learning to analyze resting-state MEG data and identifies frequency-specific functional connectome differences in tinnitus patients compared to controls.

Multilevel irreversibility reveals higher-order organisation of non-equilibrium interactions in human brain dynamics

This paper introduces a framework to quantify irreversibility in brain network dynamics across multiple levels and identifies higher-order organizational patterns in human brain interactions.

DySCo: a general framework for dynamic Functional Connectivity

DySCo introduces a framework for dynamic functional connectivity analysis, providing a unified theoretical approach and efficient algorithms for processing high-dimensional brain data.

Assessing neurocognitive maturation in early adolescence based on baby and adult functional brain landscapes

The paper assesses neurocognitive maturation in early adolescence by comparing resting-state functional connectivity to adult and infant networks, finding it predicts cognitive performance and development.

Visual statistical learning alters low-dimensional cortical architecture

The paper shows that visual statistical learning alters low-dimensional cortical architecture by reorganizing neural activity patterns across specific brain regions.

Advancing image-based meta-analysis for fMRI: A framework for leveraging NeuroVault data

This paper develops a framework for image-based meta-analysis using NeuroVault data, showing that manual selection provides precise results while heuristic methods are effective for heterogeneous domains.

Fully Hyperbolic Neural Networks: A Novel Approach to Studying Aging Trajectories

This study uses hyperbolic neural networks to analyze MEG brain networks from the Cam-CAN dataset, revealing age-related hierarchical changes in brain subnetworks.

Revealing Changes in Linear and Nonlinear Functional Connectivity After Psilocybin and Escitalopram Treatment in Patients with Depression

This study compares changes in linear and nonlinear functional connectivity in MDD patients after psilocybin or escitalopram treatment, finding distinct patterns between responders and non-responders.

Comparative and reproducible three-dimension functional spaces in primate cortical connectomes

The paper identifies three conserved functional connectivity gradients in primate cortical connectomes using fMRI, linking them to predictive coding and adaptive cognition.

Physical Activity and Depressive Mood Shared the Structural Connectivity between Motor and Reward Network: a population-based study from the UK Biobank

This study identifies a structural connectivity pattern shared between physical activity and depressive mood using UK Biobank data, linking it to neurotransmitter receptors and pathways.

Distinct Connectivity Signatures of Emotions Enhance Precision of Network Biomarkers in Mood Disorders

This study introduces DEFN, a novel approach using dynamic functional connectivity to identify emotion-specific neural signatures, improving classification accuracy for mood disorders.

Evidence for transient, uncoupled power and functional connectivity dynamics

This paper introduces M-DyNeMo, a method that reveals uncoupled dynamics between power and functional connectivity in MEG data, showing task-related modulation of these dynamics.

Targeted Time-Varying Functional Connectivity

This paper introduces T-TVFC, a method for targeted time-varying functional connectivity analysis, and shows it captures task-related information in thalamocortical networks not found in traditional methods.

Visual experience shapes functional connectome gradients

This study compares cortical gradients in congenitally blind and sighted adults to assess the role of genetics and experience in shaping functional connectivity.

Association of bidirectional network cores in the brain with perceptual awareness and cognition

This study identifies brain network cores with strong bidirectional interactions using fMRI data and links them to conscious perception and sensorimotor functions.

Time-varying synergy/redundancy dominance in the human cerebral cortex

The paper analyzes time-varying synergy and redundancy dominance in fMRI BOLD signals during rest, finding that whole-brain synergy is rare and that optimized subsets show recurrent functional systems.

Protective role of parenthood on age-related brain function in mid- to late-life

This study examines the association between parenthood and brain function in mid- to late-life, finding that higher parity is linked to increased functional connectivity and counteracts age-related declines.

Layer connective fields from ultrafast resting-state fMRI differentiate feedforward from feedback signaling

The paper uses ultrafast fMRI and a Layer-based Connective Field model to distinguish feedforward and feedback signaling in cortical circuits, revealing distinct layer-specific connectivity patterns.

Unraveling Integration-Segregation Imbalances in Schizophrenia Through Topological High-Order Functional Connectivity

This study examines topological high-order functional connectivity in schizophrenia, finding disrupted integration-segregation balance and potential diagnostic indicators.

Resting-state fMRI reveals altered functional connectivity associated with resilience and susceptibility to chronic social defeat stress in mouse brain

This study uses resting-state fMRI to identify differences in functional connectivity between resilient and susceptible mice after chronic social defeat stress, highlighting brain region interactions linked to stress resilience.

White-matter controllability at birth predicts social engagement and language outcomes in toddlerhood

The paper uses white-matter controllability at birth to predict social engagement and language outcomes in toddlers.

Multiple Brain Activation Patterns for the Same Perceptual Decision-Making Task

The paper identifies multiple stable brain activation patterns for the same perceptual decision-making task using functional MRI and clustering analysis.

Understanding the link between functional profiles and intelligence through dimensionality reduction and graph analysis

This study links functional connectivity profiles to fluid intelligence using dimensionality reduction and graph analysis, showing that functional distance from sensory and high-cognition systems correlates with intelligence.

Infraslow dynamic patterns in human cortical networks track a spectrum of external to internal attention

This paper analyzes dynamic functional connectivity in fMRI data across attentional tasks to identify a spectrum of network relationships tracking external to internal attention.

From histology to macroscale function in the human amygdala

This study identifies subregional structure-function coupling in the human amygdala using histology and MRI, revealing two axes of microstructural variation linked to functional networks.

Alterations in Causal Functional Brain Networks in Alzheimer's Disease: A resting-state fMRI study

This study identifies altered causal functional brain networks in Alzheimer's disease using resting-state fMRI data and the Time-aware PC algorithm, finding reduced connectivity in specific brain regions.

Mapping Anhedonia-Related Damage Network: Insights for TMS Treatment

This study identifies an anhedonia-related damage network through functional connectivity analysis and transcriptomic profiling, showing its predictive value for TMS treatment efficacy.