Joana Cabral

How stimulation waveform shape affects collective oscillations in the brain networks

This study investigates how different tACS waveform shapes affect brain network oscillations, finding that sinusoidal and pulsed waveforms enhance global synchrony and reduce metastability, while others have weaker effects.

Functional connectome harmonics capture early brain organization and maturity in neonates

This study uses functional connectome harmonics to analyze neonatal brain gradients and finds that power and energy metrics differ between term and preterm neonates, predicting postmenstrual age.

Functional connectome harmonics and dynamic connectivity maps of the preadolescent brain

The paper applies Functional Connectome Harmonics and Leading Eigenvector Dynamics Analysis to resting-state fMRI data from children to characterize preadolescent brain network organization.

Increased striatal coupling one week after ischemic stroke revealed by ultrafast functional MRI

The paper uses ultrafast fMRI to show increased striatal coupling one week after ischemic stroke, which is not detectable with conventional fMRI.

Physical exercise and brain network dynamics: reduction of frontoparietal-striatal connectivity following 1 hour of aerobic cycling

This study examines changes in brain network dynamics after 60 minutes of aerobic cycling, finding reduced striato-frontoparietal connectivity.

Spectral patterns of MEG oscillatory coupling emerge from meta-stable dynamics with small coupling delays

The paper uses a computational model of delay-coupled oscillators to match MEG functional connectivity patterns, finding that meta-stable dynamics with small delays explain observed oscillatory coupling.

Disrupted salience network dynamics during the imagery of migraine attacks

The paper investigates disrupted salience network dynamics in migraine patients during pain imagery, finding shorter lifetime in the network compared to healthy controls during this task.

Selective brain network stimulation by frequency entrainment

This paper uses a physics-based model of brain networks to show that frequency-selective stimulation entrains specific sub-networks, with lower frequencies promoting broader synchrony and higher frequencies producing localized effects, determined by network structure and oscillatory dynamics.

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.

Cognitive function linked to temporal occupancy of Brain-Ventricle (BraVe) modes

The paper identifies BraVe modes of brain-ventricle coupling in fMRI data and links their temporal occupancy to cognitive function across different cognitive statuses.

Emergence of multiple spontaneous coherent subnetworks from a single configuration of human connectome-coupled oscillators model

This study uses a human connectome-coupled oscillators model to show that multiple coherent subnetworks emerge at maximum spectral entropy, reflecting brain metastability and cognitive flexibility.

Brain dynamics predictive of response to psilocybin for treatment-resistant depression

The paper identifies brain regions and networks predictive of response to psilocybin therapy for treatment-resistant depression using whole-brain modeling and dynamic sensitivity analysis.

Maternal prenatal distress exposure negatively associates with the stability of neonatal frontoparietal network

This study examines how maternal prenatal distress affects neonatal brain network dynamics, finding reduced stability in the frontoparietal network.

Harmonic decomposition of spacetime (HADES) framework characterises the spacetime hierarchy of the DMT brain state

HADES framework analyzes spacetime activity patterns in the brain, showing reduced low-frequency harmonic modes during DMT-induced states, indicating changes in functional hierarchy.

Multi-modal and multi-model interrogation of large-scale functional brain networks

The paper compares two models for simulating brain activity across modalities, showing they can replicate functional connectivity and dynamics but with varying performance across modalities.

Design of effective personalised perturbation strategies for enhancing cognitive intervention in Alzheimer's disease

The paper uses computational modeling to identify key brain regions for personalized neurostimulation strategies to improve cognitive interventions in Alzheimer's disease.

The early adolescent brain on music: analysis of functional dynamics reveals engagement of orbitofrontal cortex reward system

This study uses fMRI to analyze functional brain dynamics during music listening in adolescents, finding increased engagement of the orbitofrontal cortex reward system.

Metastable Oscillatory Modes emerge from Synchronization in the Brain Spacetime Connectome

The paper shows that metastable oscillatory modes in the brain emerge from synchronization in the spacetime connectome, matching MEG data from healthy individuals.

Metastability, fractal scaling, and synergistic information processing: what phase relationships reveal about intrinsic brain activity

The paper evaluates phase-based dynamic functional connectivity metrics in resting-state fMRI to identify reliable and interpretable measures of brain dynamics and their relationships.

Detection of cross-frequency coupling between brain areas: an extension of phase-linearity measurement.

This paper introduces a method to detect cross-frequency coupling between brain areas using phase-linearity measurements, demonstrating its effectiveness on both simulated and real MEG data.

Increased excursions to functional networks in schizophrenia in the absence of task

This study examines differences in functional connectivity dynamics between schizophrenia patients and healthy controls using resting-state fMRI data, revealing altered state transitions and occupancy patterns.

Intrinsic macroscale oscillatory modes driving long range functional connectivity detected with ultrafast fMRI

The paper detects intrinsic macroscale oscillatory modes in fMRI signals that drive long-range functional connectivity across brain structures under different anesthesia conditions.

Spatiotemporally flexible subnetworks reveal the quasi-cyclic nature of integration and segregation in the human brain.

This paper introduces a hierarchical model to analyze spatiotemporally flexible subnetworks in the human brain, revealing that integration and segregation are complementary and quasi-cyclic processes.

Rapid encoding of temporal sequences discovered in brain dynamics

The paper investigates rapid brain mechanisms for encoding and predicting complex temporal sound sequences using MEG data from 68 participants.

Deep brain stimulation modulates the dynamics of resting-state networks in patients with Parkinson's Disease

This study uses fMRI to analyze how STN-DBS affects resting-state networks in PD patients, finding increased DMN occurrence and VN stability related to stimulation location.

Sweet anticipation: Predictability of familiar music in autism

The paper investigates how autistic and typically developing individuals process familiar music using fMRI, finding differences in brain network activity during familiar music listening.

Spatiotemporal whole-brain dynamics of auditory patterns recognition

The paper investigates brain dynamics during musical pattern recognition using MEG, finding increased activity and connectivity in a widespread network over time.

The dynamics of the improvising brain: a study of musical creativity using jazz improvisation

This study uses fMRI to examine neural dynamics during jazz improvisation, finding distinct brain network patterns for different improvisation modes and their cognitive mechanisms.

A Kuramoto model of self-other integration across interpersonal synchronization strategies

The paper proposes a Kuramoto model to explain interpersonal synchronization strategies through self-other integration, showing how coupling strengths between and within units determine different synchronization patterns.

Disrupted brain structural connectivity in Pediatric Bipolar Disorder with psychosis

This study examines structural brain connectivity differences in pediatric bipolar disorder with psychosis compared to healthy controls, finding widespread network topology changes and correlations with cognitive and psychotic symptoms.