Gustavo Deco

This study examines how pubertal timing affects adolescent brain vulnerability by analyzing brain hierarchy changes before and after the pandemic.

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

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

This study shows serotonergic psychedelics like LSD and DMT delay resting state neurovascular coupling, affecting hemodynamic delays and functional connectivity in brain regions with serotonin receptors.

This study links receptor profiles and cortical excitability to acute and long-term stroke outcomes using patient-specific whole-brain models.

This study introduces vorticity-based metrics to analyze brain dynamics during DMT experiences, finding increased rotational organization and spatial heterogeneity associated with subjective intensity changes.

This study shows that structural disconnection after stroke leads to electrophysiological changes in both perilesional and structurally disconnected cortical regions, correlating with neurological severity.

This study shows that brain dynamics change with the duration of oral contraceptive use, with prolonged use linked to restricted local synchronization and enhanced cross-scale information flow.

This study shows psilocybin reorganizes brain activity into context-sensitive patterns linked to subjective experience and mindset changes.

This study examines brain dynamics during unusual bodily experiences and out-of-body experiences, finding reduced neural hierarchy and increased EEG complexity.

This study identifies hyper-hierarchical brain states in disorders of consciousness and links them to reduced behavioral responsiveness and altered network dynamics.

This paper introduces a non-invasive framework linking consciousness measures to non-equilibrium thermodynamics by analyzing FDT violations in humans and rodents across different states of consciousness.

This paper identifies optimal brain stimulation strategies by mapping how responses vary with target location and brain state, reducing trial-to-trial variability.

The paper unifies three theoretical frameworks for brain dynamics into a single operator, demonstrating their shared response to structural perturbations using LSD as a test case.

This study compares how psilocybin and escitalopram affect brain reconfiguration in MDD patients using whole-brain models and perturbation analysis.

This study compares brain responses to psilocybin and escitalopram in depression using the Fluctuation-Dissipation Theorem, finding distinct non-equilibrium dynamics and responder differentiation.

This study shows that anaesthesia in marmosets alters large-scale brain organisation, similar to findings in humans and macaques, by constraining activity with structural connectivity and collapsing functional gradients.

The paper examines how global cortical dynamics, measured via EEG and pupil-linked arousal, relate to perceptual sensitivity under different neuromodulator conditions.

The paper examines how meningioma and glioma tumors affect brain connectivity resilience, finding meningioma shows higher functional connectivity preservation despite structural damage, while glioma shows more balanced damage with worse cognitive outcomes.

This paper shows that pre-stimulus brain states predict and reduce variability in stimulation responses by timing interventions to optimal neural states.

This paper investigates how and when brain stimulation drives state transitions by analyzing subject-specific whole-brain models of neural dynamics.

The paper uses computational whole-brain models to show that perilesional excitability predicts long-term motor recovery after stroke, but not acute impairment.

This paper models post-lesional slow waves in brain networks, identifying mechanisms for their generation and propagation.

This paper introduces a generalized scaling law for neural data, showing that brain synchrony affects scaling exponents across the lifespan and in ADHD.

This study examines how meningiomas and gliomas affect brain dynamics using resting-state fMRI, finding distinct disruptions in dynamical complexity metrics between the two tumor types.

This paper develops a laminar neural mass model to simulate Alzheimer's disease progression, showing that PV interneuron dysfunction drives early hyperexcitability and later hypoactivity through electrophysiological biomarkers.

This paper introduces a whole-brain model of turbulent vortices to understand cognition by analyzing neuroimaging data and showing its ability to distinguish cognitive states and tasks.

This study examines intrinsic connectivity in non- or minimally verbal children with autism spectrum disorder using resting-state fMRI, finding hypoconnectivity in language-related networks.

The paper examines corticocortical connectivity patterns in response to looming and receding sounds, finding frontal cortical involvement in auditory looming processing without conscious threat perception.

This study uses computational modeling to simulate functional connectivity changes in Huntington's disease and assess recovery potential by perturbing striatal activity.