Ane López‐González

This study uses whole-brain models to analyze brain connectivity differences between remitting and non-remitting early psychosis patients, finding altered functional connectivity and potential compensatory mechanisms.

This paper uses computational models to simulate brain perturbations in disorders of consciousness, showing that transitions to healthy brain states can be achieved through targeted stimulation.

The paper examines functional connectivity and network dynamics in disorders of consciousness, finding reduced metastability and network repertoire in unresponsive wakefulness syndrome compared to minimally conscious state.

This paper introduces a framework using turbulent dynamics to differentiate brain states by analyzing neuroimaging data with model-free and model-based measures.

This study identifies impaired neural propagation and responsiveness in disorders of consciousness using resting-state fMRI and links these deficits to glucose metabolism and specific circuit failures.

This study identifies optimal spatiotemporal scales for whole-brain dynamics by analyzing fMRI data and quantifying network activity entropy across different spatial and temporal resolutions.

This study examines how brain dynamics change during low-level states of consciousness, finding reduced stability in brain hubs and decreased heterogeneity in synchronization patterns.

This study compares the dynamical complexity of brain activity during meditation and resting-state in meditators and controls, finding reduced complexity in meditators during meditation.