Functional Brain Connectivity Studies

GWAS of macro-scale resting state functional brain networks identify shared biology with brain structure and autism

This study performs a GWAS on functional brain network metrics and finds genetic overlap with brain structure and autism.

Multimodal identification of the mouse brain using simultaneous Ca2+ imaging and fMRI

The paper uses simultaneous calcium imaging and fMRI in mice to identify cell-type specific signals in the brain with high spatiotemporal resolution.

MULTIMODAL GRADIENTS UNIFY LOCAL AND GLOBAL CORTICAL ORGANIZATION

This paper maps global cortical organization by integrating microstructural, connectivity, and functional data with cytoarchitectural maps, revealing a sensory-fugal gradient and functional diversity across brain areas.

Functional-based parcellation of the mouse prefrontal cortex for network perturbation analysis

The paper uses functional connectivity to parcellate the mouse prefrontal cortex and shows that perturbing specific clusters affects only their associated functional networks.

Inferring macroscopic intrinsic neural timescales using optimal control theory

The paper develops a framework using optimal control theory to estimate brain structure-function interactions from MRI data, showing correlations between self-inhibition parameters and neural timescales across species.

Differential effects of aging, Alzheimer's pathology, and APOE4 on longitudinal functional connectivity and episodic memory in older adults

The paper examines how aging, Alzheimer's pathology, and APOE4 genotype affect longitudinal functional connectivity and episodic memory in older adults.

Pitfalls of mapping functional and molecular human brain imaging data from separate cohorts

The paper shows that estimating correlations across brain regions from separate cohorts can be misleading due to biases and errors in interpretation.

The Relationships of Resting-state Brain Entropy (BEN), Ovarian Hormones and Behavioral Inhibition and Activation Systems (BIS/BAS)

This study investigates the relationship between resting-state brain entropy (BEN), ovarian hormones, and behavioral inhibition and activation systems (BIS/BAS) using fMRI data.

Cognitive Mode Detectable with Task-Based fMRI: Default Mode B (DMB)

The paper identifies Default Mode B (DMB) as a task-negative cognitive mode detectable in task-based fMRI, characterized by specific BOLD signal patterns and task-induced changes across multiple cognitive tasks.

Principles and Operation of Virtual Brain Twins

This paper introduces Virtual Brain Twins (VBTs) as personalized digital brain models that integrate structural and functional data to improve understanding of brain function and support personalized treatment.

Transdiagnostic Neurobiology of Social Cognition and Individual Variability as Measured by Fractional Amplitude of Low-Frequency Fluctuation in Schizophrenia and Autism Spectrum Disorders

The paper uses fALFF to compare brain activity patterns in ASD, SSD, and TDC groups, finding shared neurobiological features and variability differences.

Temporal Synchronization Analysis: A Model-Free Method for Detecting Robust and Nonlinear Brain Activation in fMRI Data

This paper introduces a model-free method, Temporal Synchronization Analysis, to detect nonlinear brain activations in fMRI data across multiple cognitive tasks.

Visualizing Functional Network Connectivity Differences Using an Explainable Machine-learning Method

The paper introduces a framework using SHAP to identify FNC biomarkers distinguishing between schizophrenia patients and controls, and young vs. old adults with high accuracy.

Biophysical mechanisms of default mode network function and dysfunction

This paper uses computational modeling to show how excitatory-inhibitory balance and cholinergic modulation affect default mode network (DMN) function and dysfunction in mice.

Unsupervised feature computation-based feature selection robustly extracted resting-state functional connectivity patterns related to mental disorders

This study compares unsupervised feature selection with supervised methods to identify robust resting-state functional connectivity patterns associated with psychiatric disorders.

Spatially convergent fMRI signatures of diabetes and male sex identify genetic vulnerabilities to accelerated brain aging

Revealing non-trivial information structures in aneural biological tissues via functional connectivity

The paper uses functional connectivity networks to analyze calcium dynamics in non-neural tissues, revealing non-random structural and informational patterns post-injury.

Spontaneous Brain Dynamics Associated With Acceleration Of Longterm Functional Connectome In Postnatal Development

This study links short-term brain dynamics to long-term changes in the functional connectome during postnatal development, finding a strong association between specific brain states and non-linear developmental acceleration.

LINKING MULTI-SCALE BRAIN CONNECTIVITY WITH VIGILANCE, WORKING MEMORY, AND BEHAVIOR IN ADOLESCENTS

This study links multi-scale brain connectivity networks to cognitive and behavioral functions in adolescents, finding significant associations with attention, working memory, and behavioral regulation.

On reconstruction of cortical functional maps using subject-specific geometric and connectome eigenmodes

This study evaluates the accuracy of reconstructing cortical functional maps using subject-specific geometric and connectome eigenmodes, finding that spatially smooth eigenmodes best explain functional data.

First vs recurrent episode symptomatology in Major Depressive Disorder and its relation to brain function and structure: a network approach.

This study compares symptom networks and brain characteristics between first and recurrent Major Depressive Disorder episodes using a network approach, finding differences in symptom centrality and global network strength.

Brain Diffusion Transformer for Personalized Neuroscience and Psychiatry

The paper introduces Brain-DiT, a deep generative model for analyzing task-fMRI data, identifying cognitive regions and subgroups linked to psychiatric conditions like depression and alcohol abuse.

BRAPH 2: a flexible, open-source, reproducible, community-oriented, easy-to-use framework for network analyses in neurosciences

BRAPH 2 provides a flexible, open-source framework for network analyses in neuroscience with advanced statistical models and deep learning capabilities.

Compression of functional gradients from rest to naturalistic processing: Moderation effect of age

This study compares brain organization during rest and naturalistic processing, finding greater functional gradient compression in older adults linked to worse cognitive performance.

Stroke Shifts Brain Dynamics Toward Criticality: Evidence from Intrinsic Neural Timescales

This study shows that stroke alters intrinsic neural timescales and long-range temporal correlations, indicating a shift toward criticality and potential as biomarkers for recovery.

FREQuency-resolved brain Network Estimation via Source Separation (FREQ-NESS)

FREQ-NESS estimates frequency-resolved brain networks using MEG data, revealing simultaneous networks and their interactions during resting state and auditory stimulation.

NaDyNet: A Toolbox for Dynamic Network Analysis of Naturalistic Stimuli

NaDyNet provides a toolbox for dynamic network analysis of naturalistic stimuli, offering methods to isolate and analyze brain responses in real-time.

Working memory impairments in Neurofibromatosis Type 1 are explained by disrupted functional connectivity and network controllability

This study identifies altered functional connectivity and network controllability in NF1 adolescents during working memory tasks, which predict cognitive performance and distinguish NF1 from controls.

Reproducible Sex Differences in Personalized Functional Network Topography in Youth

The paper identifies robust sex differences in personalized functional brain network topography in youth, linked to X-linked genes and brain regions involved in psychiatric disorders.

How to measure functional connectivity using resting-state fMRI? A comprehensive empirical exploration of different connectivity metrics

The paper evaluates how different functional connectivity metrics affect neuroimaging results and identifies metrics best suited for detecting age-related neural decline.